#data pipline

[ryanwilliamsonstuff]

Essential Components of a Data Pipeline

Modern businesses utilize multiple platforms to manage their routine operations. It results in the generation and collection of large volumes of data. With ever-increasing growth and the use of data-driven applications, consolidating data from multiple sources has become a complex process. It is a crucial challenge to use data to make informed decisions effectively.

Data is the foundation for analytics and operational efficiency, but processing this big data requires comprehensive data-driven strategies to enable real-time processing. The variety and velocity of this big data can be overwhelming, and a robust mechanism is needed to merge these data streams. This is where data pipelines come into the picture.

In this blog post, we will define a data pipeline and its key components.

What is a Data Pipeline?

Data can be sourced from databases, files, APIs, SQL, etc. However, this data is often unstructured and not ready for immediate use, and the responsibility of transforming the data into a structured format that can be sent to data pipelines falls on data engineers or data scientists.

A data pipeline is a technique or method of collecting raw, unstructured data from multiple sources and then transferring it to data stores or depositories such as data lakes or data warehouses. But before this data is transferred to a data depository, it usually has to undergo some form of data processing. Data pipelines consist of various interrelated steps that enable data movement from its origin to the destination for storage and analysis. An efficient data pipeline facilitates the management of volume, variety and velocity of data in these applications.

Components Of A Scalable Data Pipeline

Data Sources: Considered as the origins of data. It could be databases, web services, files, sensors, or other systems that generate or store data.

Data Ingestion: Data must be collected and ingested into the pipeline from various sources. It would involve batch processing (periodic updates) or real-time streaming (continuous data flow). The most common tools for ingestion include Apache Kafka, Apache Flume, or cloud-based services like AWS Kinesis or Azure Event Hubs.

Data Transformation: As this data moves through the pipeline, it often needs to be transformed, cleaned, and enriched. Further, it would involve data parsing, filtering, aggregating, joining, and other operations. Tools like Apache Spark and Apache Flink or stream processing frameworks like Kafka Streams or Apache Beam are used.

Data Storage: Data is typically stored in a scalable and durable storage system after transformation. Common choices include data lakes (like Amazon S3 or Hadoop HDFS), relational databases, NoSQL databases (e.g., Cassandra, MongoDB), or cloud-based storage solutions.

Data Processing: This component involves performing specific computations or analytics on the data. It can include batch processing using tools like Hadoop MapReduce or Apache Spark or real-time processing using stream processing engines like Apache Flink or Apache Kafka Streams.

Data Orchestration: Managing data flow through the pipeline often requires orchestration to ensure that various components work together harmoniously. Workflow management tools like Apache Airflow or cloud-based orchestration services like AWS Step Functions can be used.

Data Monitoring and Logging: It's essential to monitor the health and performance of your data pipeline. Logging, metrics, and monitoring solutions like ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, or cloud-based monitoring services (e.g., AWS CloudWatch) help track and troubleshoot issues.

Data Security: Ensuring data security and compliance with regulations is crucial. Encryption, access controls, and auditing mechanisms are essential to protect sensitive data.

Scalability and Load Balancing: The pipeline should be designed to handle increasing data volumes and traffic. Horizontal scaling, load balancing, and auto-scaling configurations are essential to accommodate growth.

Fault Tolerance and Reliability: Building fault-tolerant components and incorporating redundancy is critical to ensure the pipeline continues to operate in the event of failures.

Data Quality and Validation: Implement data validation checks and quality assurance measures to detect and correct errors in the data as it flows through the pipeline.

Metadata Management: Managing metadata about the data, such as data lineage, schema evolution, and versioning, is essential for data governance and maintaining data integrity.

Data Delivery: After processing, data may need to be delivered to downstream systems, data warehouses, reporting tools, or other consumers. This can involve APIs, message queues, or direct database writes.

Data Retention and Archiving: Define policies for data retention and archiving to ensure data is stored appropriately and complies with data retention requirements and regulations.

Scaling and Optimization: Continuously monitor and optimize the pipeline's performance, cost, and resource utilization as data volumes and requirements change.

Documentation and Collaboration: Maintain documentation that outlines the pipeline's architecture, components, and data flow. Collaboration tools help teams work together on pipeline development and maintenance.

Conclusion

These components of a data pipeline are essential for working with big data. Understanding these components and their role in the data pipeline makes it possible to design and build efficient, scalable, and adaptable systems to the changing needs. You can get the help of a specialist company that offers services for data engineering to help design and build systems for data collection, storage and analysis.

[mytechnoinfo]

This blog showcase data pipeline automation and how it helps to boost your business to achieve its business goals.

[mulemasters]

What is DBT and what are it’s pros and cons?

Certainly! Here’s a content piece on DBT (Data Build Tool), including its pros and cons:

Understanding DBT (Data Build Tool): Pros and Cons

In the realm of data engineering and analytics, having efficient tools to transform, model, and manage data is crucial. DBT, or Data Build Tool, has emerged as a popular solution for data transformation within the modern data stack. Let’s dive into what DBT is, its advantages, and its drawbacks.

What is DBT?

DBT, short for Data Build Tool, is an open-source command-line tool that enables data analysts and engineers to transform data within their data warehouse. Instead of extracting and loading data, DBT focuses on transforming data already stored in the data warehouse. It allows users to write SQL queries to perform these transformations, making the process more accessible to those familiar with SQL.

Key features of DBT include:

SQL-Based Transformations: Utilize the power of SQL for data transformations.

Version Control: Integrate with version control systems like Git for better collaboration and tracking.

Modularity: Break down complex transformations into reusable models.

Testing and Documentation: Include tests and documentation within the transformation process to ensure data quality and clarity.

Pros of Using DBT

Simplicity and Familiarity:

DBT leverages SQL, a language that many data professionals are already familiar with, reducing the learning curve.

Modular Approach:

It allows for modular transformation logic, which means you can build reusable and maintainable data models.

Version Control Integration:

By integrating with Git, DBT enables teams to collaborate more effectively, track changes, and roll back when necessary.

Data Quality Assurance:

Built-in testing capabilities ensure that data transformations meet predefined criteria, catching errors early in the process.

Documentation:

DBT can automatically generate documentation for your data models, making it easier for team members to understand the data lineage and structure.

Community and Support:

As an open-source tool with a growing community, there’s a wealth of resources, tutorials, and community support available.

Cons of Using DBT

SQL-Centric:

While SQL is widely known, it may not be the best fit for all types of data transformations, especially those requiring complex logic or operations better suited for procedural languages.

Limited to Data Warehouses:

DBT is designed to work with modern data warehouses like Snowflake, BigQuery, and Redshift. It may not be suitable for other types of data storage solutions or traditional ETL pipelines.

Initial Setup and Learning Curve:

For teams new to the modern data stack or version control systems, there can be an initial setup and learning curve.

Resource Intensive:

Running complex transformations directly in the data warehouse can be resource-intensive and may lead to increased costs if not managed properly.

Dependency Management:

Managing dependencies between different data models can become complex as the number of models grows, requiring careful organization and planning.

Conclusion

DBT has revolutionized the way data teams approach data transformation by making it more accessible, collaborative, and maintainable. Its SQL-based approach, version control integration, and built-in testing and documentation features provide significant advantages. However, it’s important to consider its limitations, such as its SQL-centric nature and potential resource demands.

For teams looking to streamline their data transformation processes within a modern data warehouse, DBT offers a compelling solution. By weighing its pros and cons, organizations can determine if DBT is the right tool to enhance their data workflows.

[ileftherbackhome]

something i think a lot about is all the different pipelines online and how they lead white people into the alt right and how a lot of them are like... not necessarily true per se but like okay...

terf to alt right pipeline for example. it is true that gender/sex is fake and made up by humans. it doesnt follow that these things must be enforced by a police state though in order to pretend like its real.

atheist to alt right pipeline is another one. its true that the universe was not created by magic. however it doesnt mean that you need to exterminate everyone who follows a religion though in order to rid the world of its "true evil."

mra/incel to alt right pipline. it is true that dating sucks because of beauty standards created by capitalism and colonialism. that doesn't mean rape is a viable solution to this issue.

like you could probably sit there and examine all these different pipelines for white people and you come to the same conclusion, where the way in the door is to erode their trust in the truth of what they have been told using facts and "data" to prove your argument while keeping them in the dark about what logical fallacies look like so they dont know any better.

idk it just makes me so sad how easy it is for people to be lied to.

[biglisbonnews]

Deploy laravel project with docker swarm We check three major step in this guide Setup laravel project with docker compose Deploy the stack to the swarm Create gitlab-ci Setup laravel project with docker compose we will explore the process of deploying a laravel project using docker swarm and setting up a CI/CD pipline to automate the deployment process. Now let’s start with containerize a laravel project with docker compose we need three separate service containers: An app service running PHP7.4-FPM; A db service running MySQL 5.7; An nginx service that uses the app service to parse PHP code Step 1. Set a env variable in project In root directory of project we have .env file now we need to update some variable DB_CONNECTION=mysql DB_HOST=db DB_PORT=3306 DB_DATABASE=experience DB_USERNAME=experience_user DB_PASSWORD=your-password Step 2. Setting up the application’s Docekrfile we need to build a custom image for the application container. We’ll create a new Dockerfile for that. Docker file FROM php:7.4-fpm # Install system dependencies RUN apt-get update && apt-get install -y \ git \ curl \ libpng-dev \ libonig-dev \ libxml2-dev \ zip \ unzip # Clear cache RUN apt-get clean && rm -rf /var/lib/apt/lists/* # Install PHP extensions RUN docker-php-ext-install pdo_mysql mbstring exif pcntl bcmath gd # Get latest Composer COPY --from=composer:latest /usr/bin/composer /usr/bin/composer # Set working directory WORKDIR /var/www Step 3. Setting up Nginx config and Database dump file In root directory create a new directory called docker-compose Now we need two other directories, a nginx directory and mysql directory So we have this two route in our project laravel-project/docker-compose/nginx/ laravel-project/docker-compose/mysql/ In nginx directory create a file called experience.conf we write nginx config in this file like: server { listen 80; index index.php index.html; error_log /var/log/nginx/error.log; access_log /var/log/nginx/access.log; root /var/www/public; location ~ \.php$ { try_files $uri =404; fastcgi_split_path_info ^(.+\.php)(/.+)$; fastcgi_pass app:9000; fastcgi_index index.php; include fastcgi_params; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; fastcgi_param PATH_INFO $fastcgi_path_info; } location / { try_files $uri $uri/ /index.php?$query_string; gzip_static on; } } In mysql directory create a file called init_db.init we write mysql initialization in this file like: DROP TABLE IF EXISTS `places`; CREATE TABLE `places` ( `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT, `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `visited` tinyint(1) NOT NULL DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=12 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; INSERT INTO `places` (name, visited) VALUES ('Berlin',0),('Budapest',0),('Cincinnati',1),('Denver',0),('Helsinki',0),('Lisbon',0),('Moscow',1); Step 4. Creating a multi container with docker-compose We need a building three container that should share networks and data volumes. Ok so create a docker-compose file in root directory of project For craete a network for connecting services we define network in docker-compose file like this: networks: experience: driver: bridge App service: app: build: context: ./ dockerfile: Dockerfile image: travellist container_name: experience-app restart: unless-stopped working_dir: /var/www/ volumes: - ./:/var/www networks: - experience DB service: db: image: mysql:8.0 container_name: experience-db restart: unless-stopped environment: MYSQL_DATABASE: ${DB_DATABASE} MYSQL_ROOT_PASSWORD: ${DB_PASSWORD} MYSQL_PASSWORD: ${DB_PASSWORD} MYSQL_USER: ${DB_USERNAME} SERVICE_TAGS: dev SERVICE_NAME: mysql volumes: - ./docker-compose/mysql:/docker-entrypoint-initdb.d networks: - experience Nginx service: nginx: image: nginx:1.17-alpine container_name: experience-nginx restart: unless-stopped ports: - 8000:80 volumes: - ./:/var/www - ./docker-compose/nginx:/etc/nginx/conf.d networks: - experience So our docker-compose file be like this: version: "3.7" services: app: build: context: ./ dockerfile: Dockerfile image: travellist container_name: experience-app restart: unless-stopped working_dir: /var/www/ volumes: - ./:/var/www networks: - experience db: image: mysql:8.0 container_name: experience-db restart: unless-stopped environment: MYSQL_DATABASE: ${DB_DATABASE} MYSQL_ROOT_PASSWORD: ${DB_PASSWORD} MYSQL_PASSWORD: ${DB_PASSWORD} MYSQL_USER: ${DB_USERNAME} SERVICE_TAGS: dev SERVICE_NAME: mysql volumes: - ./docker-compose/mysql:/docker-entrypoint-initdb.d networks: - experience nginx: image: nginx:alpine container_name: experience-nginx restart: unless-stopped ports: - 8100:80 volumes: - ./:/var/www - ./docker-compose/nginx:/etc/nginx/conf.d/ networks: - experience networks: experience: driver: bridge Step 5. Running application with docker compose Now we can build the app image with this command: $ docker-compose build app When the build is finished, we can run the environment in background mode with: $ docker-compose up -d Output: Creating exprience-db ... done Creating exprience-app ... done Creating exprience-nginx ... done to show information about the state of your active services, run: $ docker-compose ps Well in these 5 simple steps, we have successfully ran our application. Now we have a docker-compose file for our application that needs for using in docker swarm. Let’s start Initialize docker swarm. After installing docker in your server *attention: To install Docker, be sure to use the official documentation install docker check docker information with this command: $ docker info You should see “swarm : inactive” in output For activate swarm in docker use this command: $ docker swarm init The docker engine targeted by this command becomes a manager in the newly created single-node swarm. What we want to use is the services of this docker swarm. We want to update our service like app with docker swarm, The advantage of updating our service in Docker Swarm is that there is no need to down the app service first, update the service, and then bring the service up. In this method, with one command, we can give the image related to the service to Docker and give the update command. Docker raises the new service without down the old service and slowly transfers the load from the old service to the new service. When running Docker Engine in swarm mode, we can use docker stack deploy to deploy a complete application stack to the swarm. The deploy command accepts a stack description in the form of a Compose file. So we down our docker compose with this command: $ docker-compose down And create our stack. ok if everything is ok until now take a rest Deploy the stack to the swarm $ docker stack deploy --compose-file docker-compose.yml For example : $ docker stack deploy --compose-file docker-compose.yml staging Probably you see this in output: Creating network staging_exprience Creating service staging_nginx failed to create service staging_nginx: Error response from daemon: The network staging_exprience cannot be used with services. Only networks scoped to the swarm can be used, such as those created with the overlay driver. This is because of “driver: bridge” for deploying your service in swarm mode you must use overlay driver for network if you remove this line in your docker compose file When the stack is being deployed this network will be create on overlay driver automatically. So our docker-compose file in network section be like this: networks: experience: And run upper command: $ docker stack deploy --compose-file docker-compose.yml staging For now you probably you see this error : failed to create service staging_nginx: Error response from daemon: The network staging_experience cannot be used with services. Only networks scoped to the swarm can be used, such as those created with the overlay driver. Get network list in your docker: $ docker network ls Output: NETWORK ID NAME DRIVER SCOPE 30f94ae1c94d staging_experience bridge local So your network has local scope yet because in first time deploy stack this network save in local scope and we must remove that by: $ docker network rm staging_experience After all this run command: $ docker stack deploy --compose-file docker-compose.yml staging Output: Creating network staging_experience Creating service staging_app Creating service staging_db Creating service staging_nginx Now get check stack by: $ docker stack ls Output: NAME SERVICES staging 3 And get service list by: $ docker service ls Output: If your REPLICAS is 0/1 something wrong is your service For checking service status run this command: $ docker service ps staging_app for example And for check detail of service run this command: $ docker service logs staging_app for example Output of this command show you what is problem of your service. And for updating your a service with an image the command you need is this: $ docker service update --image "<your-image>" "<name-of-your-service>" --force That's it your docker swarm is ready for zero down time deployment :))) Last step for have a complete process zero down time deployment is create pipeline in gitlab. Create gitlab-ci In this step we want create a pipeline in gitlab for build, test and deploy a project So we have three stage: stages: - Build - Test - Deploy Ok let’s clear what we need and what is going on in this step . We want update laravel project and push our change in gitlab create a new image of this changes and test that and after that log in to host server pull that updated image in server, and update service of project. For login to server we need define some variable in gitlab in your repository goto setting->CI/CD->VARIABLES Add variable Add this variables: CI_REGISTRY : https://registry.gitlab.com DOCKER_AUTH_CONFIG: { "auths": { "registry.gitlab.com": { "auth": "<auth-key>" } } } auth-key is base64 hash of “gitlab-username:gitlab-password” SSH_KNOWN_HOSTS: Like 192.168.1.1 ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABgQCGUCqCK3hNl+4TIbh3+Af3np+v91AyW4+BxXRtHBC2Y/uPJXF2jdR6IHlSS/0RFR3hOY+8+5a/r8O1O9qTPgxG8BSIm9omb8YxF2c4Sz/USPDK3ld2oQxbBg5qdhRN28EvRbtN66W3vgYIRlYlpNyJA+b3HQ/uJ+t3UxP1VjAsKbrBRFBth845RskSr1V7IirMiOh7oKGdEfXwlOENxOI7cDytxVR7h3/bVdJdxmjFqagrJqBuYm30 You can see how generate ssh key in this post: generate sshkey SSH_PRIVATE_KEY: SSH_REMOTE_HOST: root@ This is your variables in gitlab. So let’s back to gitlab-ci In root directory of project create a new file .gitlab-ci.yml and set build stage set test stage And in the last set deploy stage like: stages: - Build - Test - Deploy variables: IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_REF_SLUG-$CI_COMMIT_SHORT_SHA build: stage: Build image: docker:20.10.16 services: - docker:dind script: - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY - docker build --pull -f Dockerfile -t $IMAGE_TAG . - docker push $IMAGE_TAG preparation: stage: Test image: $IMAGE_TAG needs: - build script: - composer install artifacts: expire_in: 1 day paths: - ./vendor cache: key: ${CI_COMMIT_REF_SLUG}-composer paths: - ./vendor unit-test: stage: Test image: $IMAGE_TAG services: - name: mysql:8 alias: mysql-test needs: - preparation variables: APP_KEY: ${APP_KEY} MYSQL_ROOT_PASSWORD: ${MYSQL_ROOT_PASSWORD} MYSQL_DATABASE: ${MYSQL_DATABASE} DB_HOST: ${DB_HOST} DB_USERNAME: ${DB_USERNAME} DB_PASSWORD: ${DB_PASSWORD} script: - php vendor/bin/phpunit staging-deploy: stage: Deploy extends: - .deploy-script variables: APP: "stackdemo_app" STACK: "travellist-staging" only: - develop needs: - unit-test environment: name: stage .remote-docker: variables: DOCKER_HOST: ssh://${SSH_REMOTE_HOST} image: docker:20.10.16 before_script: - eval $(ssh-agent -s) - echo $IMAGE_TAG - echo "$SSH_PRIVATE_KEY" | tr -d '\r' | ssh-add - - mkdir -p ~/.ssh - chmod 700 ~/.ssh - echo "HOST *" > ~/.ssh/config - echo "StrictHostKeyChecking no" >> ~/.ssh/config - echo -n $CI_REGISTRY_PASSWORD | docker login -u $CI_REGISTRY_USER --password-stdin $CI_REGISTRY .deploy-script: extends: - .remote-docker script: - cp $develop_config /root/project/core - docker pull $IMAGE_TAG - docker service update --image "$IMAGE_TAG" "$APP" --force dependencies: [] Change something in your project and push to gitlab and wait for it To see all pipeline pass like this : And this is beautiful. https://dev.to/holyfalcon/deploy-laravel-project-with-docker-swarm-5oi

[alexod]

Rare GameDev update May 2023: Good news and bad news.

Hello all, it’s been a while since I gave a proper update or #screenshotsaturday as to what I’ve been up to with the game. There are several reasons for this which I’ll explain later but essentially the main two reason are 

1. Most of the outstanding framework/refactoring work I’ve been grinding away at, like most software work isn’t really something you can “show off”, and there hasn’t been any art-side work to demo either because of this. 

To give you an example in 2023 I have:

• Refactored the entire rendering (twice cause I’m an idiot) to support transparent views within buildings

• Refactored shadows so they can be cast backwards

• Refactored collision again cause its my most hated gamedev aspect

• Implemented sound/music with spatial audio

• Created a nested GUI/Menu system from scratch

• Developed a full day/night cycle across all maps

• Calendar system

• Questing sytem

• Inventory stuff

• Save/load data stuff 

• Gamepad support

• Weather shaders

2. Life stuff and, again, working on this in my own hours on top of a full time job means that this takes time

--

This leads me to talk about the good and the bad:

The BAD NEWS is that the “BIG ONE” is delayed until further notice, because the GOOD NEWS is I’m going to be working on releasing a smaller scale game made with the same framework first.

So what lead to this decision?

• Uncertainty with releasing a game and how my game engine framework will cope

Due to the nature of one-man development, it’s safe to say there will be bugs and issues that will fly under the radar, which is why with working on a smaller scale game I can highlight these problems before they impact something a more larger scale project.

To give a real life case study, compare Breath of the Wild to Tears of the Kingdom. A lot of the time and hardwork with BotW you can see probably went into getting the damn thing to work, hence why TotK has a lot more going for it gameplay element wise, as they had BotW groundwork to build upon.

• I want to release something in a smaller timespan and build an audience for the “big one”

• Apart from the “Big one” I’ve been fixated on working on this one for a long time now.

• I want to show the flexibility of what I’ve made and potentially make it open source

--

Outside of things like launcher->deployment->release piplines, the framework itself is basically done, and it’s safe to say outside of gameplay specific elements I have all the building blocks to actually make a “game”.

We’re at the point now where I can actually start cracking on with pixel art work again, and I’m looking forward to hopefully showing off the direction the new game is going soon.

TL:DR: The big game I wanted to make is being put on the backburner while I make a smaller game using the same framework that the big one was being made in.

What kind of game? Well... you’ll see in due time.

[weekinethereum]

January 25, 2019

News and Links

Layer 1

[eth1] state rent proposal 2

[eth1] selfish mining in Ethereum academic paper. Per Casey Detrio, EIP100 changed the threshold to 27%. But since ETC doesn’t have EIP100, it’s just 5 or 10%.

[eth2] a long AMA from the Eth2 research team

[eth2] yeeth Eth2 client in Swift

[eth2] What’s new in eth2 includes Ben’s take on future of the PoW chain

[eth2] notes from last eth2 implementer call

[eth2] Vitalik’s security design rationale

[eth2] More Vitalik: Eth2 and Casper CBC video talk

[eth2] Collin Myers takes a look at the proposed economics for validators

Layer 2

Raiden on progress towards Ithaca release, which will include pathfinding and fee earning as well as monitoring. More from Loredana on building CryptoBotWars on Raiden

Magmo update: about to release their paper on Nitro, their protocol for a virtual state channel network

The case for Ethereum scaling through layer 2 solutions

Optimistic off-chain data availability from Aragon

Starkware on a layer 2 design fundamental: validity proofs vs fraud proofs. Also: its decentralized exchange using STARKs planned for testnet at end of q1.

Stuff for developers

Solidity v0.5.3

web3j v4.1.1

Web3.js v1.0.0-beta.38

Waffle v2 of its testing suite (uses ethers.js)

Celer Network’s proto3 to solidity library generator for onchain/offchain, cross-language data structures. Celer’s SDK

ERC20 meta transaction wrapper contract

“dumb contracts” that store data in the event logs

ETL pipline on AWS for security token analytics

Interacting with Ethereum using web3.py and Jupyter notebooks

Tutorial on using Embark

Tutorial: using OpenLaw agreements with dapps

OpenBazaar’s escrow framework

Etherisc opensources the code for their Generic Insurance Framework

Austin Griffith’s latest iteration of Burner Wallet sales

Deploying a front end with IPFS and Piñata SDK

Video tutorial of Slither static analyzer

Overview of formal verification projects in Ethereum

zkPoker with SNARks - explore iden3’s circom circuit

Ecosystem

Lots of charts on the bomb historically and present

Gnosis Safe is now available on iOS

A big thing in the community was r/ethtrader’s DONUT tokens. Started by Reddit as “community points” to experiment in ethtrader upvotes, the donuts can be used to buy the banner, vote in polls, and get badges. So a Reddit <> Eth token bridge was created, and DONUT traded on Uniswap. But some people preferred donuts to be used for subreddit governance, so the experiment is currently paused. That’s my take, here’s Will Warren’s take.

Decentralizing project management with the Ethereum Cat Herders

ENS permanent registrar proposals

Client releases

The Mantis client written in Scala now supports ETH and will stop supporting ETC

Enterprise

Hyperledger Fabric founder John Wolpert on why Ethereum is winning in enterprise blockchain

Levi’s jeans, Harvard SHINE and ConsenSys announce a workers well being pilot program at a factory in Mexico

Tokenizing a roomba to charge it

Correctness analysis of Istanbul BFT. Suggests it isn’t and can be improved.

Governance and Standards

Notes from last all core devs call

A postmortem on the Constantinople postponement

SNT community voting dapp v0.1 - quadratic voting system

EIP1712: disallow deployment of unused opcodes

EIP1715: Generalized Version Bits Voting for Consensus Soft and Hard Forks

ERC1723: Cryptography engine standard

ERC1724: confidential token standard

EIP1717: Defuse the bomb and lower mining reward to 1 ether

Application layer

Augur leaderboard. And Crystalball.be stats. Augur v1.10 released

Lots of action in Augur frontends: Veil buys Predictions.global, Guesser to launch Jan 29, and BlitzPredict.

A fiat-backed Korean Won is live on AirSwap

Adventureum - “a text-based, crowd-sourced, decentralised choose-your-own adventure game”

PlasmaBears is live using LoomNetwork

Kyber’s automated price reserve - a simpler though less flexible option for liquidity providers. Also, Kyber’s long-term objectives

Interviews, Podcasts, Videos, Talks

Trail of Bits and ChainSecurity discuss 1283 on Hashing It Out

Videos from Trail of Bits’ Empire Hacking

Scott Lewis and Bryant Eisenbach give the case for Ethereum on a Bitcoin podcast

Philipp Angele talk on Livepeer’s shared economies for video infrastructure

Tarun Chitra on PoS statistical modeling on Zero Knowledge

Gnosis’ Martin Köppelmann on Into the Ether

Martin Köppelmann and Matan Field on Epicenter

Tokens / Business / Regulation

If you don’t have a background in finance, MyCrypto’s learning about supplying and borrowing with Compound will be a good read.

A nice look at the original NFT: CryptoPunk

NFT License 2.0 to define what is permitted with NFT and associated art

IDEO on what NFT collectibles should learn from legacy collectibles.

Matthew Vernon is selling tokens representing 1 hour of design consulting

Caitlin Long tweetstorm about Wyoming’s crypto-friendly legislation

Crypto exchanges don’t need a money transmitter license in Pennsylvania

General

Samsung to have key store in their Galaxy S10. Pictures show Eth confirmed.

Zilliqa to launch its mainnet this week, much like Ethereum launched with Frontier

NEAR’s private testnet launches at event in SF on the 29th

Polkadot upgrades to PoC3 using GRANDPA consensus algo

Looks like Protonmail wants to build on Ethereum

Messari says Ripple drastically overstates their supply to prop up their market cap

Sia’s David Vorick on proof of work attacks

a zero knowledge and SNARKs primer

Infoworld when the Mac launched 35 years ago: do we really need this?

Have a co-branded credit card in the US? Amazon (or whoever) probably gets to see your transaction history, which means they’re probably selling it too.

Dates of Note

Upcoming dates of note (new in bold):

Jan 29-30 - AraCon (Berlin)

Jan 30 - Feb 1 - Stanford Blockchain Conference

Jan 31 - GörliCon (Berlin)

Jan 31 - Maker to remove OasisDEX and Oasis.direct frontends

Feb 2 - Eth2 workshop (Stanford)

Feb 7-8 - Melonport’s M1 conf (Zug)

Feb 7 - 0x and Coinlist virtual hackathon ends

Feb 14 - Eth Magicians (Denver)

Feb 15-17 - ETHDenver hackathon (ETHGlobal)

Feb 27 - Constantinople (block 7280000)

Mar 4 - Ethereum Magicians (Paris)

Mar 5-7 - EthCC (Paris)

Mar 8-10 - ETHParis (ETHGlobal)

Mar 8-10 - EthUToronto

Mar 22 - Zero Knowledge Summit 0x03 (Berlin)

Mar 27 - Infura end of legacy key support

April 8-14 - Edcon hackathon and conference (Sydney)

Apr 19-21 - ETHCapetown (ETHGlobal)

May 10-11 - Ethereal (NYC)

May 17 - Deadline to accept proposals for Instanbul upgrade fork

If you appreciate this newsletter, thank ConsenSys

This newsletter is made possible by ConsenSys.

I own Week In Ethereum. Editorial control has always been 100% me.

If you're unhappy with editorial decisions or anything that I have written in this issue, feel free to tweet at me.

Housekeeping

Archive on the web if you’re linking to it:  http://www.weekinethereum.com/post/182313356313/january-25-2019

Cent link for the night view:  https://beta.cent.co/+3bv4ka

https link: Substack

Follow me on Twitter, because most of what is linked here gets tweeted first: @evan_van_ness

If you’re wondering “why didn’t my post make it into Week in Ethereum?”

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[modelcamt1]

What type of technical questions are asked on the Internet of Things (IoT) during an interview?

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What is meant by Raspberry Pi?

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What are different types of sensors?

Which are popular communication protocols for IoT communications?

What do you know about LoRa & LoRaWan?

what is use of Gateways?

which are popular cloud servers?

what is mean by data lakes?

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[evanvanness]

Annotated edition, Week in Ethereum News, March 15 issue

The number of EthCC attendees (for the record, most people I talk to now think the afterparty was the main spreading event) testing positive since I published the newsletter, even while many can’t get tested.  So no caffeine or beer for me just in case I’m affected (though I left the afterparty very early), and that lack of caffeine is pulling me down just a little.   This might be a low-energy, “please clap” Jeb annotated issue.

Eth1

Overlay method for hex to binary tree conversion

A summary of the post-EthCC Stateless Eth meetings. Renewed focus on sync, particularly getNodeData

A writeup post-stateless ETH summit after ethCC as well as a summary.  Quiet times usually follow productive meetings, hence only 2 bullet points this week.

Eth2

Latest Eth2 call. Notes from Ben and Mamy. Phase 1 prototyping coming soon

Latest phase0 spec v0.11, the target for stable multi-client testnet

Ben Edgington’s notes from networking call

Nimbus client update – interop this month, discussion around constraints of running eth2 client on mobile devices

Two phase2 ethresearch posts: Appraisal of Non-sequential Receipt Cross-shard Transactions and Atomic Cross Shard Function Calls using System Events, Live Parameter Checking, & Contract Locking

Vitalik’s Using polynomial commitments to replace state roots, though this is not likely to hit the current roadmap. More context from listening to Justin Drake and Vitalik Buterin on Zero Knowledge

So my current estimate (completely my own) is that we’re likely looking at late q2 for phase0 launch.   But who knows, maybe getting locked down will provide a small speedup?  <wry grin>

I continue to think that by far the most important thing after shipping phase 0 is turning off proof of work.  Stop wasting electricity!  Cut issuance!

Stuff for developers

Solidity v0.6.4

A storage layout for proxy contracts taking advantage of Solidity v0.6.4

EthGlobal’s survey of Eth developers

10x smaller Javascript signer/verifier

Interacting with Ethereum using a shell through Incubed ultra-light client

Groth16 bellman proof verifier

Templates with pre-filled contract ABIs, addresses and subgraphs for Aave, Compound, Sablier, Uniswap

Prysmatic’s service registry pattern in Go

Implementing Merkle Trees and Patricia Tries in Node.js

Pipline onchain interpreted language vid

Austin Griffith vid on wallet module for eth.build

OpenZeppelin points out that a malicious deployer can backdoor your Gnosis Safe

SmartBugs: framework for executing Solidity automated analysis tools, with an academic paper comparing tool performance

I probably should’ve added that your Gnosis Safe is always safe if you used the official front end of the mobile app.

Crypto carnage, Maker liquidations

Thursday’s global selloff of risk assets led to the most negative price action day of crypto’s short history. The selloff inflated gas prices (~200 gwei) which caused trouble for Maker. The Maker oracles stopped working for an hour or two.

Maker liquidation auctions went off for nearly 0 DAI as bots bidding on those auctions got caught in high gas prices and ran out of DAI, leading several different bot maintainers to make ~8m USD in ETH by bidding just above zero in a few disparate time periods.

As a result, the Maker system surplus became a 5.7m Dai deficit (as of the time of publication). To improve incentives, Maker governance changed some parameters and to recoup the debt MKR will be auctioned onchain for lots of 50,000 Dai on the morning (UTC) of March 19th.

Community members have started a backstop to ensure the deficit is covered

Here is a writeup of the Maker liquidations with data and graphs

Just published: Maker governance proposal to change DSR to 0 and Stability Fee to 0.5%, GSM to 4 hours, and a decentralized circuitbreaker for auctions

An interesting thing I just learned is that Maker’s standard keeper apparently only works in Parity, not with Geth or Infura.  So that’s another ramification of the Kovan/Rinkeby split, and getting Maker to use Kovan.

In the meantime, USDC has been added as a collateral.  It’s rather strange but USDC perhaps makes sense as a way to mint DAI in times of stress and get closer to the peg.  Seems like the Stability Fee should be set high here though, as you really only want people using it in times of needing Dai, eg in auctions.  Right now it’s 20%, i’m not sure that’s as high as it should be.

This newsletter doesn’t often mention price and market-related matters.  But it’s quite clear that crypto is not a safe haven in crisis.   Could it be in the future?  Perhaps, but all the hedge funds and institutional money simply exacerbate volatility.  Where we’re at is that when people wanted to take risk off the table, they viewed crypto as a risk asset - and Bitcoin got hit the hardest because it had survived the best in crypto winter, despite there being no reason whatsoever for it to have done the best.

Ecosystem

Prysmatic’s Raul Jordan: Eth2 is happening, it is shipping, and we’re going to make it a reality no matter what

EthIndia’s online hackathon winners

DuneAnalytic’s stats for smart contract wallets

4GB DAG size and potential hashrate impact

So far, 9 attendees of EthCC have tested positive for COVID-19

A fun parlor game: what will be the next big ETH event?  Devcon?  Or something before, or something after?   I think we’re going to see a lot more online hackathons - and probably more sponsorship dollars for them.  Perhaps more sponsorship fiat for newsletter subscriptions too?  

Raul’s post on eth2 was the most clicked of the week.

Enterprise

End to end transport layer security with Hyperledger Besu v1.4

DAML now available on Besu

Paul Brody talks Baseline Protocol on Into the Ether

How Citi and ConsenSys use Ethereum for commodities trade finance

Nice komgo writeup.  Also interesting to see that the bet of Besu seems to be paying off with enterprise privatechain stuff like DAML even on Besu.

Governance, DAOs, and standards

Livepeer’s proposed governance roadmap

SingularDTV announces snglsDAO Foundation for their media protocol press release

Aragon removes AGP voting for ANT holders

What DAOs can learn from the Swedish Pirate Party

How to quickly create your own DAOstack DAO

FakerDAO – pool your MKR to sell votes to highest bidder

Governance as a whole has probably been one of Ethereum’s weak points.  Not as bad as governance-by-Blockstream, but still not great.  People don’t turn out to vote so direct voting doesn’t work (to wit, Aragon removing voting which was the only use for ANT) - and yet one of the solutions for people not voting actually penalizes people for voting, as I’ve found out in DxDAO.   I’m hopeful for some of the solutions but to date long-term governance of everything is mostly an unsolved issue.

Application layer

Numerai’s ErasureBay live on mainnet. A marketplace for any kind of information, where the buyer can slash the seller if they don’t like the information

DeFiSaver’s 1click transaction CDP closing using flashloans

Gnosis’ Gibraltar-regulated Sight political markets are live

Update on Augur v2. tldr: it’s close

Balancer’s code is open source

bZx’s mea culpa post mortem of the attacks. They also paid 1inch the full bug bounty two weeks ago.

Bluestone fixed rate loans and deposits, live on Rinkeby testnet

Maker’s Dai Gaming Initiative

VirtuePoker’s final beta launches March 16th

HavenSocial, a web3 alternative to Facebook where you own your own data

Nice to see people are still trying to build social media alternatives.  The idea of building a better Facebook is definitely an enthralling one - yet not one that Ethereum has even come close to delivering.

Same with games - we’ve been talking about tokens/NFTs on ETH being a big thing in games for awhile.  Nothing has quite hit it (let’s be honest, CryptoKitties was just a different flavor of ICO mania) but I think Skyweaver might.  

My usual ex-post metric of seeing how much of this section is DeFi: 10 bullet points, depending on how you count you could say it’s 4 to ~8.  

Tokens/Business/Regulation

David Hoffman: Ethereum as emergent structure

USDC: programmable dollars with business accounts and APIs

Uniswap volume is now tracked on Coinmarketcap

wBTC passes Lightning Network in value locked up

Matthew Green: US congressional bill EARN IT is a direct attack on e2e encryption

Mass panic like with Corona is always a perfect moment to add bills on as riders to must-pass bills, so look for anti-encryption hawks to try to do this in the name of “safety.”  Maybe even to bailout bills.

Kinda interesting to see CMC finally add Uniswap volume.  They’ve been quite slow to add dexes generally; it seems like Bitcoiners often have a hard time adjusting to decentralization when they’ve been used to all the centralized BTC tradeoffs.

And Circle is now all-in on USDC.  From Santander prototype at Devcon2 to $600m now printed, and this doesn’t even count Tether belatedly realizing that BTC was a terrible choice to secure Tether.

General

Contribute computing cycles to fight COVID-19

Stay private in DeFi with email

Brave’s nightly release features random browser fingerprints per session

Load Value Injection attack on Intel SGX

Jacobians of hyperelliptic curves explainer from Alan Szepieniec

Ryan Sean Adams’ “how to” on using ProtonMail or equivalent is the 2nd most clicked, showing how he’s one of the most important people in Ethereum right now.  He takes concepts them and popularizes them.  

The random browser fingerprints is huge, and a big step up in privacy.  

Meanwhile if you have 2gb or 3gb GPUs, you can fold some proteins which may have an impact on COVID-19.  I’m always skeptical, but it seems likely to be worth the cost.  Especially if you’re like me and get super cheap electricity in Texas through GridPlus!  Crypto is not cancelled in Texas.

[siva3155]

300+TOP Apache PIG Hadoop Interview Questions and Answers

Apache PIG Interview Questions for freshers experienced :-

1. What is pig? Pig is a Apache open source project which is run on hadoop,provides engine for data flow in parallel on hadoop.It includes language called pig latin,which is for expressing these data flow.It includes different operations like joins,sort,filter ..etc and also ability to write UserDefine Functions(UDF) for proceesing and reaing and writing.pig uses both HDFS and MapReduce i,e storing and processing. 2. What is differnce between pig and sql? Pig latin is procedural version of SQl.pig has certainly similarities,more difference from sql.sql is a query language for user asking question in query form.sql makes answer for given but dont tell how to answer the given question.suppose ,if user want to do multiple operations on tables,we have write maultiple queries and also use temporary table for storing,sql is support for subqueries but intermediate we have to use temporary tables,SQL users find subqueries confusing and difficult to form properly.using sub-queries creates an inside-out design where the first step in the data pipeline is the innermost query .pig is designed with a long series of data operations in mind, so there is no need to write the data pipeline in an inverted set of subqueries or to worry about storing data in temporary tables. 3. How Pig differs from MapReduce In mapreduce,groupby operation performed at reducer side and filter,projection can be implemented in the map phase.pig latin also provides standard-operation similar to mapreduce like orderby and filters,groupby..etc.we can analyze pig script and know data flows ans also early to find the error checking.pig Latin is much lower cost to write and maintain thanJava code for MapReduce. 4. How is Pig Useful For? In three categories,we can use pig .they are 1)ETL data pipline 2)Research on raw data 3)Iterative processing Most common usecase for pig is data pipeline.Let us take one example, web based compaines gets the weblogs,so before storing data into warehouse,they do some operations on data like cleaning and aggeration operations..etc.i,e transformations on data. 5. What are the scalar datatypes in pig? scalar datatype int -4bytes, float -4bytes, double -8bytes, long -8bytes, chararray, bytearray 6. What are the complex datatypes in pig? map: map in pig is chararray to data element mapping where element have pig data type including complex data type. example of map the above example city and pin are data elements(key) mapping to values tuple: tuple have fixed length and it have collection datatypes.tuple containing multiple fields and also tuples are ordered. example, (hyd,500086) which containing two fields. bag: A bag containing collection of tuples which are unordered,Bag constants are constructed using braces, with tuples in the bag separated by com- mas. For example, {(‘hyd’, 500086), (‘chennai’, 510071), (‘bombay’, 500185)} 7. Whether pig latin language is case-sensitive or not? pig latin is some times not a case sensitive.let us see example,Load is equivalent to load. A=load ‘b’ is not equivalent to a=load ‘b’ UDF are also case sensitive,count is not equivalent to COUNT. 8. How should ‘load’ keyword is useful in pig scripts? first step in dataflow language we need to specify the input,which is done by using ‘load’ keyword.load looks for your data on HDFS in a tab-delimited file using the default load function ‘PigStorage’.suppose if we want to load data from hbase,we would use the loader for hbase ‘HBaseStorage’. example of pigstorage loader A = LOAD ‘/home/ravi/work/flight.tsv’ using PigStorage (‘t’) AS (origincode:chararray, destinationcode:chararray, origincity:chararray, destinationcity:chararray, passengers:int, seats:int, flights:int, distance:int, year:int, originpopulation:int, destpopulation:int); example of hbasestorage loader x= load ‘a’ using HBaseStorage(); if dont specify any loader function,it will takes built in function is ‘PigStorage’ the ‘load’ statement can also have ‘as’ keyword for creating schema,which allows you to specify the schema of the data you are loading. PigStorage and TextLoader, the two built-in Pig load functions that operate on HDFS files. 9. How should ‘store’ keyword is useful in pig scripts?After we have completed process,then result should write into somewhere,Pig provides the store statement for this purpose store processed into ‘/data/ex/process'; If you do not specify a store function, PigStorage will be used. You can specify a different store function with a using clause: store processed into ‘?processed’ using HBaseStorage(); we can also pass argument to store function,example,store processed into ‘processed’ using PigStorage(‘,’); 10. What is the purpose of ‘dump’ keyword in pig? dump diaplay the output on the screen dump ‘processed’

Apache PIG Hadoop Interview Questions 11. what are relational operations in pig latin? they are for each order by filters group distinct join limit 12. How to use ‘foreach’ operation in pig scripts? foreach takes a set of expressions and applies them to every record in the data pipeline A = load ‘input’ as (user:chararray, id:long, address:chararray, phone:chararray,preferences:map); B = foreach A generate user, id; positional references are preceded by a $ (dollar sign) and start from 0: c= load d generate $2-$1 13. How to write ‘foreach’ statement for map datatype in pig scripts? for map we can use hash(‘#’) bball = load ‘baseball’ as (name:chararray, team:chararray,position:bag{t:(p:chararray)}, bat:map); avg = foreach bball generate bat#’batting_average'; 14. How to write ‘foreach’ statement for tuple datatype in pig scripts? for tuple we can use dot(‘.’) A = load ‘input’ as (t:tuple(x:int, y:int)); B = foreach A generate t.x, t.$1; 15. How to write ‘foreach’ statement for bag datatype in pig scripts? when you project fields in a bag, you are creating a new bag with only those fields: A = load ‘input’ as (b:bag{t:(x:int, y:int)}); B = foreach A generate b.x; we can also project multiple field in bag A = load ‘input’ as (b:bag{t:(x:int, y:int)}); B = foreach A generate b.(x, y); 16. why should we use ‘filters’ in pig scripts? Filters are similar to where clause in SQL.filter which contain predicate.If that predicate evaluates to true for a given record, that record will be passed down the pipeline. Otherwise, it will not.predicate contain different operators like ==,>=, Read the full article

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Procurement Speed and accuracy matter. Many other providers only offer nightly updates of FBO notices. GovSurf collects every notice and document on FBO in near real-time and we curate each notice with our advanced analytics engines to make it instantly discoverable.

Procurement Forecasts

The GovSurf platform absorbs procurement forecast opportunities from multiple agencies throughout the federal government. All forecast information is integrated with our historical database and channels through our new opportunity pipeline so you can stay on top of emerging opportunities.

Government Spending

GovSurf collects, analyzes and categorizes government spending records on a continuous basis. Our software uses artificial intelligence to associate contract actions with solicitations, forecasts, vendor profiles, agency announcements and everything else in our data repository. Spending records can be easily searched using GovSurf’s comprehensive discovery capabilities.

Subcontracting Data

GovSurf discovers subcontractor data from several sources. This can be invaluable data when competitions are recompeted by providing competitive intelligence on companies with the right past performance or likely bidders if existing work is competed in a new size standard.

Small Business Database

GovSurf vendor profiles present business information listed in the SBA’s Dynamic Small Business System which includes government certifications, ownership set-aside status, services & NAICS codes, insurance bonding levels, quality assurance standards, employee count, revenue, capabilities and past performance.

Awardee Performance

Information from the FAPIIS database and the System for Award Management exclusion list provides a window into the incumbent history of your competitors or even potential teaming partners.

VA Vetbiz

GovSurf integrates information from the Vendor Information Pages (VIP) database containing a list of businesses eligible to participate in the veteran-owned business set-aside program.

Bid Protests

GovSurf provides access to the GAO protest docket and monitors decision as they are posted. The system also collects Armed Services Board of Contract Appeals and the Civilian Board of Contract Appeals to provide comprehensive awareness during contract protests.

IT Programs & Spending

GovSurf’s database includes information from 26 agencies on over 7,000 Federal IT investments and detailed data for over 700 of those projects. This invaluable data encompasses investment details, summaries of funding and acquisition strategy. Agencies report contract information on awards that provide further illumination of the competitive landscape.

Agency Contract Archives

Many agencies issue press releases that contain announcements on awarded contracts. For instance, the DoD publishes announcements on contracts valued at $7 million or more every business day. The information often contains contract numbers, task order modifications, awardee information, customers, work location and, more importantly, details about the activities of the work that is being awarded.

Service Contract Inventories

Agencies prepare and analyze inventories of all of their service contracts on an annual basis. These inventories often include valuable information on project performance, subcontractor utilization and identification of the customer. GovSurf’s uses this information to provide more dimensions for you to use during opportunity discovery.

Budget Information

GovSurf collects data on historical, current and future federal budgets that can be used to examine unpublished details below the level of official budget numbers. This information acts as a data bridge that can provide insight into the funding sources of your contract by matching budget data, spending records and information provided by the Treasury.

Grant Awards

GovSurf provides direct visibility into current and historical Federal Assistance Data from thirty agencies responsible for nearly all financial assistance awards. Discover Federal agency’s priorities by following the money.

SBIR and STTR

GovSurf collects current opportunities for the Small Business Innovation Research (SBIR) as well as the Small Business Technology Transfer (STTR) program from every agency authorized to fund innovative ideas.

WHAT WE OFFER

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PERSONALIZE YOUR PROFILE

One of the greatest challenges for government contractors is matching your past performance to opportunities with the highest probability of winning. GovSurf creates a conceptual description of your company with our advanced analysis capabilities. Let our artificial intelligence engine analyze your past performance in a way that goes way beyond NAICS codes.

.fusion-content-boxes-7 .fusion-content-box-hover .heading-link:hover .icon i.circle-yes, .fusion-content-boxes-7 .fusion-content-box-hover .link-area-box:hover .heading-link .icon i.circle-yes, .fusion-content-boxes-7 .fusion-content-box-hover .link-area-link-icon-hover .heading .icon i.circle-yes, .fusion-content-boxes-7 .fusion-content-box-hover .link-area-box-hover .heading .icon i.circle-yes background-color: #ffffff !important; border-color: #ffffff !important;

.fusion-content-boxes-8 .heading .content-box-heading color:#ffffff; .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover .heading .content-box-heading, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover .heading .heading-link .content-box-heading, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover .heading .content-box-heading, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover .heading .heading-link .content-box-heading, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover.link-area-box .fusion-read-more, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover.link-area-box .fusion-read-more::after, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover.link-area-box .fusion-read-more::before, .fusion-content-boxes-8 .fusion-content-box-hover .fusion-read-more:hover:after, .fusion-content-boxes-8 .fusion-content-box-hover .fusion-read-more:hover:before, .fusion-content-boxes-8 .fusion-content-box-hover .fusion-read-more:hover, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover.link-area-box .fusion-read-more, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover.link-area-box .fusion-read-more::after, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover.link-area-box .fusion-read-more::before, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover .icon .circle-no, .fusion-content-boxes-8 .heading .heading-link:hover .content-box-heading color: #ffffff; .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover .icon .circle-no color: #ffffff !important; .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box.link-area-box-hover .fusion-content-box-button background: #d6d6d6;color: #787878;background-image: -webkit-gradient( linear, left bottom, left top, from( #e8e8e8 ), to( #d6d6d6 ) );background-image: linear-gradient( to top, #e8e8e8, #d6d6d6 ).fusion-content-boxes-8 .fusion-content-box-hover .link-area-box.link-area-box-hover .fusion-content-box-button .fusion-button-text color: #787878; .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover .heading .icon > span background-color: #ffffff !important; .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover .heading .icon > span border-color: #ffffff !important;

PERSONALIZE YOUR OPPORTUNITIES

We use a more complete description of our your company’s past performance to find opportunities hidden within government solicitations and spending records. We ingest and analyze millions of solicitation documents, contract descriptions, spending records and forecasts to identify opportunities based on the unique fingerprint of your company.

.fusion-content-boxes-8 .fusion-content-box-hover .heading-link:hover .icon i.circle-yes, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box:hover .heading-link .icon i.circle-yes, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-link-icon-hover .heading .icon i.circle-yes, .fusion-content-boxes-8 .fusion-content-box-hover .link-area-box-hover .heading .icon i.circle-yes background-color: #ffffff !important; border-color: #ffffff !important;

GOVSURF DOES ALL THE HARD WORK

GovSurf is a new direction in government contracting.

We are so confident that we don’t require you to pay for a whole year upfront.

That’s right – no long-term contract – it’s month-to-month

No Long-term Commitment

.fusion-button.button-14 .fusion-button-text, .fusion-button.button-14 i color:#ffffff;.fusion-button.button-14 border-width:2px;border-color:#ffffff;.fusion-button.button-14 .fusion-button-icon-dividerborder-color:#ffffff;.fusion-button.button-14.button-3d-webkit-box-shadow: inset 0px 1px 0px #fff,0px 4px 0px #787878,1px 6px 6px 3px rgba(0,0,0,0.3);-moz-box-shadow: inset 0px 1px 0px #fff,0px 4px 0px #787878,1px 6px 6px 3px rgba(0,0,0,0.3);box-shadow: inset 0px 1px 0px #fff,0px 4px 0px #787878,1px 6px 6px 3px rgba(0,0,0,0.3);.button-14.button-3d:active-webkit-box-shadow: inset 0px 1px 0px #fff,0px 4px 0px #787878,1px 6px 6px 3px rgba(0,0,0,0.3);-moz-box-shadow: inset 0px 1px 0px #fff,0px 4px 0px #787878,1px 6px 6px 3px rgba(0,0,0,0.3);box-shadow: inset 0px 1px 0px #fff,0px 4px 0px #787878,1px 6px 6px 3px rgba(0,0,0,0.3);.fusion-button.button-14:hover .fusion-button-text, .fusion-button.button-14:hover i,.fusion-button.button-14:focus .fusion-button-text, .fusion-button.button-14:focus i,.fusion-button.button-14:active .fusion-button-text, .fusion-button.button-14:activecolor:#787878;.fusion-button.button-14:hover, .fusion-button.button-14:focus, .fusion-button.button-14:activeborder-width:2px;border-color:#787878;.fusion-button.button-14:hover .fusion-button-icon-divider, .fusion-button.button-14:hover .fusion-button-icon-divider, .fusion-button.button-14:active .fusion-button-icon-dividerborder-color:#787878;.fusion-button.button-14background: #209584;.fusion-button.button-14:hover,.button-14:focus,.fusion-button.button-14:activebackground: #d6d6d6; background-image: -webkit-gradient( linear, left bottom, left top, from( #e8e8e8 ), to( #d6d6d6 ) ); background-image: -webkit-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: -moz-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: -o-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: linear-gradient( to top, #e8e8e8, #d6d6d6 );.fusion-button.button-14width:auto;See the Offer

FOUNDERS CLUB

For a limited time, we are offering GovSurf One subscriptions at a heavily discounted price through the advance purchase of a license.

By supporting us now,  you can become part of our Founders Club and receive a subscription price that will never change

Being a member of the Founder’s Club means that you will also receive discounts to future products and services.

We want to hear from you!

As we grow and add new features, you will have the opportunity to provide direct feedback to our core development team.  This means that your ideas and recommendations will matter.

.fusion-button.button-15 .fusion-button-text, .fusion-button.button-15 i color:#ffffff;.fusion-button.button-15 border-width:2px;border-color:#ffffff;.fusion-button.button-15 .fusion-button-icon-dividerborder-color:#ffffff;.fusion-button.button-15.button-3d-webkit-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);-moz-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);.button-15.button-3d:active-webkit-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);-moz-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);.fusion-button.button-15:hover .fusion-button-text, .fusion-button.button-15:hover i,.fusion-button.button-15:focus .fusion-button-text, .fusion-button.button-15:focus i,.fusion-button.button-15:active .fusion-button-text, .fusion-button.button-15:activecolor:#787878;.fusion-button.button-15:hover, .fusion-button.button-15:focus, .fusion-button.button-15:activeborder-width:2px;border-color:#787878;.fusion-button.button-15:hover .fusion-button-icon-divider, .fusion-button.button-15:hover .fusion-button-icon-divider, .fusion-button.button-15:active .fusion-button-icon-dividerborder-color:#787878;.fusion-button.button-15background: #209584;.fusion-button.button-15:hover,.button-15:focus,.fusion-button.button-15:activebackground: #d6d6d6; background-image: -webkit-gradient( linear, left bottom, left top, from( #e8e8e8 ), to( #d6d6d6 ) ); background-image: -webkit-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: -moz-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: -o-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: linear-gradient( to top, #e8e8e8, #d6d6d6 );.fusion-button.button-15width:auto;EXPERIENCE GOVSURF

Levels for Every Business Budget

Reward Level Reward Description Pledge Users Months Presale Cap Discounts on Future Services Discounts on Future Products Subscription Price Forever Founders Club Supporter A one month subscription to GovSurf One for a single user. $25 1 1 200

Early Adopter A six month subscription to GovSurf One for a single user. Equates to $16.67 per month $100 1 6 200

Disruptor A twelve month subscription to GovSurf One for a single user. Equates to $12.50 per month $150 1 12 200

Pioneer A six month subscription to GovSurf One for five users. Equates to $10.00/user per month $300 5 6 1000

Visionary A twelve month subscription to GovSurf One for five users. Equates to $8.33/user per month $500 5 12 2000

Heavy Lift A twenty-four month subscription to GovSurf One for five users. Equates to $8.33/user per month $1000 5 24 200

.fusion-button.button-16 .fusion-button-text, .fusion-button.button-16 i color:#ffffff;.fusion-button.button-16 border-width:2px;border-color:#ffffff;.fusion-button.button-16 .fusion-button-icon-dividerborder-color:#ffffff;.fusion-button.button-16.button-3d-webkit-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);-moz-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);.button-16.button-3d:active-webkit-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);-moz-box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);box-shadow: inset 0px 1px 0px #fff,0px 5px 0px #787878,1px 7px 7px 3px rgba(0,0,0,0.3);.fusion-button.button-16:hover .fusion-button-text, .fusion-button.button-16:hover i,.fusion-button.button-16:focus .fusion-button-text, .fusion-button.button-16:focus i,.fusion-button.button-16:active .fusion-button-text, .fusion-button.button-16:activecolor:#787878;.fusion-button.button-16:hover, .fusion-button.button-16:focus, .fusion-button.button-16:activeborder-width:2px;border-color:#787878;.fusion-button.button-16:hover .fusion-button-icon-divider, .fusion-button.button-16:hover .fusion-button-icon-divider, .fusion-button.button-16:active .fusion-button-icon-dividerborder-color:#787878;.fusion-button.button-16background: #209584;.fusion-button.button-16:hover,.button-16:focus,.fusion-button.button-16:activebackground: #d6d6d6; background-image: -webkit-gradient( linear, left bottom, left top, from( #e8e8e8 ), to( #d6d6d6 ) ); background-image: -webkit-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: -moz-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: -o-linear-gradient( bottom, #e8e8e8, #d6d6d6 ); background-image: linear-gradient( to top, #e8e8e8, #d6d6d6 );.fusion-button.button-16width:auto;See the Offer

[expomahal-blog]

cipe at China(Beijing) 2019-March

communications technology Meetings, conveying technology network, oil exploration companies contacts, oil industry Exhibitors, transportation business, actuators contact list, anti-corrosion methods Exhibitors, anti-wear methods B2B ideas, cables directory, chains Trade Fairs, communications equipment info, control equipment B2B Opportunities, drilling equipment info, fastener tools Exhibitors, fountain equipment companies list, fpso equipment events, fpso vessels network, hardware contacts list, high-tech laboratories B2C ideas, infrastructure equipment Events, infrastructure materials companies contacts, marine equipment directory, measuring instruments Meetings, offshore platforms events, pipelines Meetings, piping components B2B Opportunities, pipline components info, pumps Fairs, ropes contacts list, software Exhibitors Directory, transport equipment Business events, transport machinery B2B Opportunities, valves companies, trade fairs with conveying technologies business, trade shows for communications technology Exhibitors Directory, trade shows for oil exploration Trade Shows, trade shows for oil industry business ideas, transportation trade shows network 2019, March, China, Beijing

cipe at China(Beijing) 2019-March

cipe trade show event mainly focuses on:

communications technology contact list, conveying technology network, oil exploration business ideas, oil industry business opportunities, transportation B2B Opportunities, actuators Exhibitors Directory, anti-corrosion methods B2C opportunities, anti-wear methods Trade Fairs, cables B2B Opportunities, chains Fairs, communications equipment business ideas, control equipment Trade Fairs, drilling equipment info, fastener tools Trade Shows, fountain equipment Exhibitions, fpso equipment B2B Opportunities, fpso vessels Fairs, hardware B2B ideas, high-tech laboratories business contacts, infrastructure equipment Exhibitors, infrastructure materials Trade Fairs, marine equipment Events, measuring instruments contact info, offshore platforms info, pipelines contacts list, piping components business ideas, pipline components companies, pumps companies list, ropes Events, software contacts list, transport equipment Expos, transport machinery contact list, valves Exhibitors, trade fairs with conveying technologies Fairs, trade shows for communications technology B2C ideas, trade shows for oil exploration B2B ideas, trade shows for oil industry Business events, transportation trade shows business

related products/services/industry/business. This trade show opens top business opportunities to exhibit products and services from communications technology contact list, conveying technology business, oil exploration Shows, oil industry companies contacts, transportation Meetings, actuators Fairs, anti-corrosion methods B2C opportunities, anti-wear methods B2B ideas, cables contacts list, chains Exhibitions, communications equipment business, control equipment Events, drilling equipment Fairs, fastener tools directory, fountain equipment business opportunities, fpso equipment B2C opportunities, fpso vessels business contacts, hardware business ideas, high-tech laboratories contact links, infrastructure equipment directory, infrastructure materials Shows, marine equipment B2B ideas, measuring instruments Trade Fairs, offshore platforms Business events, pipelines contact info, piping components Events, pipline components companies contacts, pumps Trade Fairs, ropes companies list, software contact list, transport equipment business ideas, transport machinery contact info, valves Trade Fairs, trade fairs with conveying technologies B2B Opportunities, trade shows for communications technology business opportunities, trade shows for oil exploration companies list, trade shows for oil industry Trade Shows, transportation trade shows contact info industry.

Find More Details about cipe event...

We help you to grow your business by providing the required contact details of all companies participating in this event and you can download the same data in excel format using the above links. Location of the Event:China(Beijing) Year-Month:2019-March Official Website:Event Website source https://www.expomahal.com/2019/03/cipe-at-chinabeijing-2019-march.html

[johanlouwers]

IRC's 30th Birthday; Mozilla Working on New JavaScript APIs for VR; Arch Linux Answering Questions on Reddit; Microsoft Splits Its Visual Studio Team Services; and Hortonworks, IBM and Red Hat Announce the Open Hybrid Architecture Initiative

News briefs for September 11, 2018.

IRC recently celebrated its 30 birthday. The internet chat system was developed in 1988 by Jarkko Oikarinen at the Department of Information Processing Science of the University of Oulu. See the post on the University of Oulu website for more details.

Mozilla yesterday announced it is beginning a new phase of work on JavaScript APIs "that will help everyone create and share virtual reality (VR) and augmented reality (AR) projects on the open web". Mozilla's new WebXR Device API has two goals: 1) "To support a wider variety of user inputs, such as voice and gestures, giving users options for navigating and interacting in virtual spaces"; and 2) "To establish a technical foundation for development of AR experiences, letting creators integrate real-world media with contextual overlays that elevate the experience." For more information, see the Immersive Web Community Group.

The Arch Linux team is answering questions on Reddit. The post also mentions they are looking for new contributors. See the Arch Linux wiki for more information.

Microsoft is splitting its Visual Studio Team Services (VSTS) into five separate Azure-branded services, which will be called Azure DevOps, Ars Technica reports. In addition, the Azure Piplines component—"a continuous integration, testing, and deployment system that can connect to any Git repository"—will be available for open-source projects, and "open-source developers will have unlimited build time and up to 10 parallel jobs".

Hortonworks, IBM and Red Hat yesterday announced the Open Hybrid Architecture Initiative, a "new collaborative effort the companies can use to build a common enterprise deployment model that is designed to enable big data workloads to run in a hybrid manner across on-premises, multi-cloud and edge architectures". For the initial phase, the companies will work together to "optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for use on Red Hat OpenShift, an industry-leading enterprise container and Kubernetes application platform".

News

IRC

Mozilla

Arch Linux

Microsoft

open source

DevOps

Azure

Red Hat

Kubernetes

Cloud

Big Data

OpenShift

https://ift.tt/2CH47Of via @johanlouwers . follow me also on twitter

[anthrochristianramsey]

Block 1 (6-8AM): Getting Data Input Piplines- Distributed Deep Learning

3/7/2018