#Data Engineering Aws

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Aretove Technologies specializes in data science consulting and predictive analytics, particularly in healthcare. We harness advanced data analytics to optimize patient care, operational efficiency, and strategic decision-making. Our tailored solutions empower healthcare providers to leverage data for improved outcomes and cost-effectiveness. Trust Aretove Technologies for cutting-edge predictive analytics and data-driven insights that transform healthcare delivery.

[retconomics]

working in tech w/ non-tech people is really like 'you know how to do this right' and its an entirely different field/set of skills.

[anmolsmsblog]

Data Engineering with AWS: Building Next-Gen Data Architectures on AWS

Price: (as of – Details) “Data Engineering with AWS: Building Next-Gen Data Architectures on AWS” is your comprehensive guide to mastering data engineering in the cloud. This book delves into the full spectrum of data engineering on the AWS platform, from foundational concepts to advanced techniques, enabling you to build, optimize, and scale data pipelines with confidence. Designed for data…

[jcmarchi]

Shaktiman Mall, Principal Product Manager, Aviatrix – Interview Series

New Post has been published on https://thedigitalinsider.com/shaktiman-mall-principal-product-manager-aviatrix-interview-series/

Shaktiman Mall, Principal Product Manager, Aviatrix – Interview Series

Shaktiman Mall is Principal Product Manager at Aviatrix. With more than a decade of experience designing and implementing network solutions, Mall prides himself on ingenuity, creativity, adaptability and precision. Prior to joining Aviatrix, Mall served as Senior Technical Marketing Manager at Palo Alto Networks and Principal Infrastructure Engineer at MphasiS.

Aviatrix is a company focused on simplifying cloud networking to help businesses remain agile. Their cloud networking platform is used by over 500 enterprises and is designed to provide visibility, security, and control for adapting to changing needs. The Aviatrix Certified Engineer (ACE) Program offers certification in multicloud networking and security, aimed at supporting professionals in staying current with digital transformation trends.

What initially attracted you to computer engineering and cybersecurity?

As a student, I was initially more interested in studying medicine and wanted to pursue a degree in biotechnology. However, I decided to switch to computer science after having conversations with my classmates about technological advancements over the preceding decade and emerging technologies on the horizon.

Could you describe your current role at Aviatrix and share with us what your responsibilities are and what an average day looks like?

I’ve been with Aviatrix for two years and currently serve as a principal product manager in the product organization. As a product manager, my responsibilities include building product vision, conducting market research, and consulting with the sales, marketing and support teams. These inputs combined with direct customer engagement help me define and prioritize features and bug fixes.

I also ensure that our products align with customers’ requirements. New product features should be easy to use and not overly or unnecessarily complex. In my role, I also need to be mindful of the timing for these features – can we put engineering resources toward it today, or can it wait six months? To that end, should the rollout be staggered or phased into different versions? Most importantly, what is the projected return on investment?

An average day includes meetings with engineering, project planning, customer calls, and meetings with sales and support. Those discussions allow me to get an update on upcoming features and use cases while understanding current issues and feedback to troubleshoot before a release.

What are the primary challenges IT teams face when integrating AI tools into their existing cloud infrastructure?

Based on real-world experience of integrating AI into our IT technology, I believe there are four challenges companies will encounter:

Harnessing data & integration: Data enriches AI, but when data is across different places and resources in an organization, it can be difficult to harness it properly.

Scaling: AI operations can be CPU intensive, making scaling challenging.

Training and raising awareness: A company could have the most powerful AI solution, but if employees don’t know how to use it or don’t understand it, then it will be underutilized.

Cost: For IT especially, a quality AI integration will not be cheap, and businesses must budget accordingly.

Security: Make sure that the cloud infrastructure meets security standards and regulatory requirements relevant to AI applications

How can businesses ensure their cloud infrastructure is robust enough to support the heavy computing needs of AI applications?

There are multiple factors to running AI applications. For starters, it’s critical to find the right type and instance for scale and performance.

Also, there needs to be adequate data storage, as these applications will draw from static data available within the company and build their own database of information. Data storage can be costly, forcing businesses to assess different types of storage optimization.

Another consideration is network bandwidth. If every employee in the company uses the same AI application at once, the network bandwidth needs to scale – otherwise, the application will be so slow as to be unusable. Likewise, companies need to decide if they will use a centralized AI model where computing happens in a single place or a distributed AI model where computing happens closer to the data sources.

With the increasing adoption of AI, how can IT teams protect their systems from the heightened risk of cyberattacks?

There are two main aspects to security every IT team must consider. First, how do we protect against external risks? Second, how do we ensure data, whether it is the personally identifiable information (PII) of customers or proprietary information, remains within the company and is not exposed? Businesses must determine who can and cannot access certain data. As a product manager, I need sensitive information others are not authorized to access or code.

At Aviatrix, we help our customers protect against attacks, allowing them to continue adopting technologies like AI that are essential for being competitive today. Recall network bandwidth optimization: because Aviatrix acts as the data plane for our customers, we can manage the data going through their network, providing visibility and enhancing security enforcement.

Likewise, our distributed cloud firewall (DCF) solves the challenges of a distributed AI model where data gets queried in multiple places, spanning geographical boundaries with different laws and compliances. Specifically, a DCF supports a single set of security compliance enforced across the globe, ensuring the same set of security and networking architecture is supported. Our Aviatrix Networks Architecture also allows us to identify choke points, where we can dynamically update the routing table or help customers create new connections to optimize AI requirements.

How can businesses optimize their cloud spending while implementing AI technologies, and what role does the Aviatrix platform play in this?

One of the main practices that will help businesses optimize their cloud spending when implementing AI is minimizing egress spend.

Cloud network data processing and egress fees are a material component of cloud costs. They are both difficult to understand and inflexible. These cost structures not only hinder scalability and data portability for enterprises, but also provide decreasing returns to scale as cloud data volume increases which can impact organizations’ bandwidth.

Aviatrix designed our egress solution to give the customer visibility and control. Not only do we perform enforcement on gateways through DCF, but we also do native orchestration, enforcing control at the network interface card level for significant cost savings. In fact, after crunching the numbers on egress spend, we had customers report savings between 20% and 40%.

We’re also building auto-rightsizing capabilities to automatically detect high resource utilization and automatically schedule upgrades as needed.

Lastly, we ensure optimal network performance with advanced networking capabilities like intelligent routing, traffic engineering and secure connectivity across multi-cloud environments.

How does Aviatrix CoPilot enhance operational efficiency and provide better visibility and control over AI deployments in multicloud environments?

Aviatrix CoPilot’s topology view provides real-time network latency and throughput, allowing customers to see the number of VPC/VNets. It also displays different cloud resources, accelerating problem identification. For example, if the customer sees a latency issue in a network, they will know which assets are getting affected. Also, Aviatrix CoPilot helps customers identify bottlenecks, configuration issues, and improper connections or network mapping. Furthermore, if a customer needs to scale up one of its gateways into the node to accommodate more AI capabilities, Aviatrix CoPilot can automatically detect, scale, and upgrade as necessary.

Can you explain how dynamic topology mapping and embedded security visibility in Aviatrix CoPilot assist in real-time troubleshooting of AI applications?

Aviatrix CoPilot’s dynamic topology mapping also facilitates robust troubleshooting capabilities. If a customer must troubleshoot an issue between different clouds (requiring them to understand where traffic was getting blocked), CoPilot can find it, streamlining resolution. Not only does Aviatrix CoPilot visualize network aspects, but it also provides security visualization components in the form of our own threat IQ, which performs security and vulnerability protection. We help our customers map the networking and security into one comprehensive visualization solution.

We also help with capacity planning for both cost with costIQ, and performance with auto right sizing and network optimization.

How does Aviatrix ensure data security and compliance across various cloud providers when integrating AI tools?

AWS and its AI engine, Amazon Bedrock, have different security requirements from Azure and Microsoft Copilot. Uniquely, Aviatrix can help our customers create an orchestration layer where we can automatically align security and network requirements to the CSP in question. For example, Aviatrix can automatically compartmentalize data for all CSPs irrespective of APIs or underlying architecture.

It is important to note that all of these AI engines are inside a public subnet, which means they have access to the internet, creating additional vulnerabilities because they consume proprietary data. Thankfully, our DCF can sit on a public and private subnet, ensuring security. Beyond public subnets, it can also sit across different regions and CSPs, between data centers and CSPs or VPC/VNets and even between a random site and the cloud. We establish end-to-end encryption across VPC/VNets and regions for secure transfer of data. We also have extensive auditing and logging for tasks performed on the system, as well as integrated network and policy with threat detection and deep packet inspection.

What future trends do you foresee in the intersection of AI and cloud computing, and how is Aviatrix preparing to address these trends?

I see the interaction of AI and cloud computing birthing incredible automation capabilities in key areas such as networking, security, visibility, and troubleshooting for significant cost savings and efficiency.

It could also analyze the different types of data entering the network and recommend the most suitable policies or security compliances. Similarly, if a customer needed to enforce HIPAA, this solution could scan through the customer’s networks and then recommend a corresponding strategy.

Troubleshooting is a major investment because it requires a call center to assist customers. However, most of these issues don’t necessitate human intervention.

Generative AI (GenAI) will also be a game changer for cloud computing. Today, a topology is a day-zero decision – once an architecture or networking topology gets built, it is difficult to make changes. One potential use case I believe is on the horizon is a solution that could recommend an optimal topology based on certain requirements. Another problem that GenAI could solve is related to security policies, which quickly become outdated after a few years. AGenAI solution could help users routinely create new security stacks per new laws and regulations.

Aviatrix can implement the same security architecture for a datacenter with our edge solution, given that more AI will sit close to the data sources. We can help connect branches and sites to the cloud and edge with AI computes running.

We also help in B2B integration with different customers or entities in the same company with separate operating models.

AI is driving new and exciting computing trends that will impact how infrastructure is built. At Aviatrix, we’re looking forward to seizing the moment with our secure and seamless cloud networking solution.

Thank you for the great interview, readers who wish to learn more should visit Aviatrix. 

[gudguy1a]

Lack of Success in the AWS Data Engineer Job Market

Wow! Talk about disappointment, the job market is definitely tough right now for AWS Data Engineers. Or, Data Engineers overall. The oddest part though, ~85% of the emails/calls I receive, they are for Senior or Lead Data Engineer and/or Data Scientist roles. When I am trying to break in at the mid-level Data Engineer role because I know I do not yet have the Senior level experience yet. But…

[innovaticsblog]

Unleash the power of the cloud. Our cloud consulting strategy helps you design a secure, scalable, and cost-effective cloud roadmap aligned with your business goals.

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How to create a Redshift Cluster? Learn how to create a Redshift cluster effortlessly. Explore the process of setting up a Redshift cluster through the AWS console, managing Redshift Processing Units (RPUs), and optimizing cluster performance.

[evolvecloudlabs]

This blog will delve into the benefits of cloud data engineering, its significance in our data-driven world, key factors to consider during its implementation, and the pivotal role of Google-certified professional data engineers in this domain.

[nitor-infotech]

In today's fast-paced digital landscape, cloud technology has emerged as a transformative force that empowers organizations to innovate, scale and adapt like never before. Learn more about our services, go through our blogs, study materials, case studies - https://bit.ly/463FjrO

[antstackinc]

Serverless-native Data Engineering with AWS in Bangalore — Antstack

Modernize your applications for the digital age. Embrace cloud-native and serverless architecture and advanced technologies for increased scalability and flexibility. We transform conventional applications into a modern architecture that leverages serverless computing. Our data engineering with AWS effort doesn’t become a ‘legacy’ when we complete it!

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Various services provided by Aretove includes Data Science, Predictive Analytics, Applied AI, Business Intelligence, Data Engineering, Big Data & Analytics

[tommatt12]

(via GIPHY) Takeo Boorcamp

[avdgroupin]

Data Engineering Course in Pune: AVD Group offers a practical data engineering course in Pune that provides hands-on training in the latest tools and techniques. You can build, test, and use data pipelines with the aid of our skilled instructors who offer practical training. To help you develop important skills, our curriculum includes both theoretical and applied parts of data engineering. Join our team right away to advance your data engineering skills using AVD Group.

[gudguy1a]

Achieving the AWS Data Engineer Associate Certification

DAWG GONE IT!!!!              AGAIN – SUCCESS…!!! I’ve SUCCESSFULLY obtained my SECOND Data Engineering certification: AWS Data Engineering Associate cert after studying my little hiney off for months. This is after studying for months and successfully gaining the Google Cloud Platform (GCP) Pro Data Engineer (Sept 2023). This amount of time spent is because I had no previous Data Engineer…

[hederasgarden]

Preview: On the Horizon

Summary: You've been pining over your coworker for a while now. He might not have realized but someone has.

Paring: Tyler Owens x F!Reader (with minor Scott x F!Reader)

Rating: Mature, 18+ only. Angst, smut, flirting and asshole!Scott A/N: Thanks to @writercole for the summary. Hoping to have this fic out next weekend!

You brush the sweat from your brow as you surreptitiously watch Scott work beside you. He doesn't seem bothered by the heat, typing away on his computer despite the stagnant air. It makes you long for the cool labs you used to work in before Javi recruited you. Although he'd likely tell you this weather was perfect for a storm, you're miserable. Meteorology wasn't even your field; you were here for your engineering expertise to handle the specialized equipment the team needed to gather their data.

From your vantage point on the tailgate of the truck, you observe the other storm chasers gather around Tyler Owens' red truck. The man in question emerges with a brilliant smile, and beside you, Scott scoffs, annoyed. He hates Tyler, and you're pretty sure the feeling is mutual from the brief interactions you've observed.

"Ass," Scott mutters, returning his attention to his computer.

When you look up again Tyler's gaze falls on you. He grins and winks, pulling down the brim of his hat in acknowledgment. Before you can react, he's turned to speak to one of the young women on his team, giving her his full attention. A hand rests casually on her shoulder.

You wish Scott would acknowledge you like that. You thought things would be different after the night you shared weeks ago, but he'd been quick to dash those hopes the next morning, ignoring you completely. He only seemed to look at you when he needed your tech skills or when you made a mistake. Your cheeks still burn from his last reprimand in front of the team.

Clearing your throat, his eyes briefly land on you before returning to the screen in front of him. "What?" he demands.

"Oh. I was going to get something to eat. Do you want something?”

"Yeah, you know what I like," he says dismissively. When it's clear that's all you're getting from him, you push off the truck onto the dusty road with a soft exhale and head into the gas station.

The air conditioning inside practically makes you groan with relief, and you take a moment to appreciate the cool air.

"You're not melting on us, are you, city girl?" You jump at the unexpected voice, surprised to see it belongs to Tyler. "MIT got you all wound up, huh?” He questions, amused. 

"What?"

"Your boss," he clarifies. 

"Oh, he's um... he's not my boss. Javi is."

"No?" he questions, brows raised. "Well, he certainly barks at you like he is."

Heat rushes to your face as you realize Tyler must have overheard Scott reprimand you yesterday after you miscalibrated one of the sensors.

"If you worked with my team, I'd be a lot nicer," he says.

You stare at him, unsure how to respond to his comment or the flirty tone. Before today you’d hardly spoken, he mostly interacted with Javi or Scott.  You’re saved from answering when the bell on the door jingles and someone calls your name. 

It’s Scott. 

"Owens," he bites out, surprising you when he rests a hand on your shoulder and stands close enough that you feel his shirt brush your arm. Your lips part and your lashes flutter in response. 

Tyler's gaze drops briefly to your mouth before returning to your face with a knowing smile.  "Well, I enjoyed our chat," he tells you, not bothering to acknowledge Scott. "We should do this again, sweetheart."

"What did he want?" Scott demands, move to stand in front of you after Tyler’s gone.

"Oh, nothing. Just... saying hi."

Scott's jaw tenses, and he steps into your space, cupping your elbow. "You shouldn't talk to him," he advises.

When he tilts his head to stare down at you, something flickers in his dark brown eyes that looks an awful lot like jealousy. You glance over your shoulder at Tyler, only to have Scott say your name again, more forcefully. When you turn back around your suspicions are confirmed. For the first time since that night in the hotel room, you have Scott’s full attention and that sends a thrill of excitement through you.

You bite your lip, the beginning of an idea coming together.

Part 1 is now out!

[akhil-1]

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