#SAP Datasphere

[applexustechnologies]

Organizations today are looking to fast-track their BW or B/4HANA investments to the limitless possibilities of the cloud. Embracing the cloud is rooted in a strategic technological shift to future-proof their business for higher agility, scalability, and cost-efficiency, besides being able to adapt in real-time, in the constantly evolving dynamic market. However, getting there is easier said than done.

In this blog, Sanjay Sinha, Analytics Architect at Applexus discusses the significance of the BW bridge of SAP Datasphere for organizations looking to realize an expedited migration of their existing SAP on-premise investments of Data Warehouse into the public cloud and a faster ROI.

Read more at https://www.applexus.com/blogs/sap-bw-bridge-with-datasphere-for-cloud-transformation

[emmaanderson-blog1]

What are the best free online resources for beginners to learn SAP Datasphere?

For beginners looking to learn SAP DataSphere, there are several valuable free online resources available. Here are some top options:

SAP Official Website: SAP provides documentation, tutorials, and learning materials for various products, including DataSphere. You can find official guides and resources on the SAP website.

SAP Community: The SAP Community platform offers a wealth of knowledge shared by experts and community members. You can find discussions, blogs, and helpful tips related to SAP DataSphere.

YouTube: There are many tutorial videos and demos available on YouTube, which can provide a visual and interactive way to learn the basics of SAP DataSphere.

Online Training Platforms: Some online training platforms offer free courses or trial versions for SAP DataSphere. Look for reputable platforms that provide quality content.

Anubhav Oberoy's Demo Video: Anubhav Oberoy is a renowned SAP trainer known for his expertise. His demo video could be a valuable resource to gain insights into SAP DataSphere training and its functionalities.

By leveraging these resources, beginners can start their journey to learn SAP DataSphere at their own pace, gaining a foundational understanding of this powerful data orchestration and processing platform. Remember to verify the credibility of the sources to ensure you're learning from reliable and up-to-date materials.

[sap001]

How do I create a table in SAP Datasphere?

To create a table in SAP Datasphere, log into your SAP Datasphere workspace, navigate to the "Data Builder" section, and click on "New Entity." Select "Table" and define the required fields, including column names, data types, and constraints. You can also import existing data or set up relationships between tables to enhance data integration. Once the table structure is ready, save and deploy it to make it available for use in your projects.

If you want to master SAP Datasphere and other SAP tools, Anubhav Trainings offers excellent online courses tailored to professionals.

Recognized globally, Anubhav Oberoy is a top-rated corporate trainer known for his expertise in SAP. With comprehensive course materials and real-time scenarios, his training is ideal for anyone aiming to upskill. Check the upcoming batches at Anubhav Trainings and join thousands of learners worldwide who trust his expert guidance.

[ameri100]

https://justpaste.it/SAP-Datasphere

In a world where data is king, businesses are constantly seeking better ways to integrate, manage, and analyze their data to make informed decisions. SAP Datasphere offers a unified approach to data integration and analytics, enabling organizations to bring data from diverse sources into a single platform for streamlined insights and operations. At Ameri100, we guide companies on harnessing the full potential of SAP Datasphere, ensuring seamless data management that drives actionable insights. This article covers best practices for leveraging SAP Datasphere to elevate your data strategy.

[influencermagazineuk]

SAP Datasphere: Your Bridge to Cloud Data Warehouses

The SAP Datasphere is a very good solution for a company that wants to maximize the potential of their data in the ever-changing world of data management. Today we will explore how this amazing device can be used as both a data warehouse and ingestion tool for moving data from SAP to popular cloud-based warehouses. The figure, SAP Datasphere Architecture, shows a high-level architecture of SAP Datasphere. Initial Steps of Modeling in SAP Datasphere SAP Datasphere offers multiple modeling capabilities that address different user groups – from business analysts with deep business understanding to tech-savvy developers and power users. In a typical end-to-end scenario, the following two closely related components of SAP Datasphere are used/applied:" - The SAP Datasphere Data Layer contains the basic modeling of the underlying data sources and tables. - The SAP Datasphere Business Layer enables users to create their own business models on top based on business terms. Data Warehousing Strategy of SAP You are not forced to follow this paradigm in a short period of time. You can shift to the cloud in your own pace, combining the migration, hybrid and green-field approaches. For example, your path can include the following optional steps: - In the first step, you can continue to develop models in SAP BW or SAP BW/4HANA and connect them as source in SAP Datasphere (approach B). - Additionally, you can start using SAP Datasphere and SAP BW bridge for new topics (as part of approach C). Reuse standard extractors for SAP's on-premise sources and leverage SAP's business content to persist the data, including ABAP logic. When you decide to discontinue your on-premise BW, SAP provides a tool support to migrate SAP BW 7.x and SAP BW/4HANA applications one by one to the SAP bridge (approach A). - You have two options to transfer models that you have created or migrated in SAP BW bridge to the SAP Datasphere core tenant: manual import and / or model transfer with semantic integration (approach A and C). Double Faced SAP Datasphere In the field of data management, SAP Datasphere has two roles. First it operates as an effective data warehouse which holds your organizational data in one location. However, it goes beyond this function because it also performs excellently as a means of ingesting data, thereby making it invaluable to businesses who want to collate their SAP information with those kept on clouds. Integration of Data into SAP Datasphere Introduction SAP Datasphere provides a large set of default Built-in-connectors to access data from a wide range of sources, in the cloud or on-premise, from SAP or from non-SAP sources or partner tools. Connections provide access to data from a wide range of remote systems, cloud as well as on-premise, SAP as well as non-SAP, and partner tools. They allow users assigned to a space to use objects from the connected remote system as source to acquire, prepare, and access data from those sources in SAP Datasphere. In addition, you can use certain connections to define targets for replication flows. SAP and Cloud Data Warehouses Reconciliation One of the most exciting capabilities of SAP Datasphere is its ability to transfer information from non-SAP cloud databases. Here comes into play the feature called “Data Integration” in Datasphere. Data Integration is what enables Datasphere integrate seamlessly with different cloud warehouses among them being Azure Synapse, Amazon Redshift, Google BigQuery and Snowflake. It thus serves as a link between your systems running on SAP and these powerful platforms located in clouds. How Data Integration Works Data replication and transformation capabilities in Datasphere, an SAP feature, help move your SAP data to cloud data warehouses. Here is how it works on different platforms: Azure Synapse: Datasphere can establish a direct connection to Azure Synapse so that you can synchronize your data in real time. This ensures that your SAP data gets into Azure instantly for further analysis or other information sources combination. Amazon Redshift: It is possible to extract and load SAP system data into amazon redshift with the use of Data Integration. As such, AWS advanced analytics as well as machine learning options can be used on SAP data. Google BigQuery: Via Datasphere, it is possible to transfer data to Google BigQuery where powerful analytics engine from Google can be engaged in analyzing SAP related information. Snowflake: There is a seamless integration between Datasphere and Snowflake that enables you as an enterprise to analyze your sap data using snowflakes’ cloud native architecture. Why it’s important It is not a small feat to make SAP data moveable into these cloud platforms rather, it is a big leap for several organizations. Here’s why: You can now combine your SAP data with other sources of information in order to get a more holistic view of your business. The cloud platforms have advanced analytics and machine learning which can offer new perspectives on your SAP data. Cloud enables you to easily scale up storage and processing as the size of your data increases. There is a potential for reducing costs by using the infrastructure of the cloud instead of maintaining everything on premises. Summary SAP Datasphere is much more than a data warehouse or an ingestion tool, thanks to its Data Integration capability. It bridges the gap between your SAP systems and the incredible powers of cloud data warehouses, making it a way forward for data analytics. As you develop your data strategy, consider how SAP Datasphere may assist in breaking down information silos while revealing new discoveries. If you are thinking about centralizing your data, boosting analytics capabilities or simplifying your data architecture then Datasphere presents an exciting opportunity. Always remember that bettering your approach to managing information is not a quick sprint but rather an enduring task. Take time to learn what exactly you want and see if Sap Datasphere can help out with this. This will add value to both your decisions on business matters and the contents of your database.s Read the full article

[teklink]

Transform your business with TekLink’s BW modernization Workshop

Are you ready to take your business intelligence to the next level?

Join TekLink for an insightful BW Modernization Workshop featuring the latest advancements in SAP DataSphere and other cutting-edge BI tools with GenAI and Analytics capabilities. This workshop will demonstrate how to unlock your data’s full potential, streamline processes, integrate and harmonize data from various sources, and drive superior business outcomes.

Learn how implementing SAP DataSphere can elevate your business intelligence with a comprehensive, integrated, and secure data management solution that supports advanced analytics and real-time processing.

Click here to register for TekLink's Workshop!

[applexustechnologies]

In today's fast-paced & dynamic digital landscape, personalized experiences are the key to winning customer loyalty and staying ahead of the competition. Data-driven personalization empowers marketers to improve their reach, engagement, and customer lifetime value. And that is where the power of SAP Datasphere, S/4HANA, and SAP CAR truly shines - leveraging 360 degree omnichannel customer data to revolutionize marketing campaigns and improve the impact on the target audience.

In this blog, Richard Pascoe, VP of Consulting Services at Applexus dives deep into how you can harness the full potential of personalization through the above cutting-edge SAP technologies.

Read more at https://www.applexus.com/blogs/sap-solutions-for-hyper-personalization

[emmaanderson-blog1]

Where can I find good SAP Datasphere training materials?

In SAP, there are various modules and technologies you can learn based on your interests and career goals. SAP DataSphere is an excellent choice if you want to master data orchestration and processing. However, SAP offers a wide range of other modules and technologies, such as SAP ERP (Enterprise Resource Planning), SAP HANA (in-memory database), SAP BW/4HANA (data warehousing), SAP S/4HANA (next-gen business suite), SAP Fiori (user experience), SAP ABAP (programming language), SAP SuccessFactors (human capital management), SAP Ariba (procurement), and many more.

For a comprehensive understanding of SAP DataSphere, you can explore the free online demo video provided by Anubhav Oberoy, a renowned SAP trainer.

His expertise in SAP and teaching experience will undoubtedly enhance your learning experience. To access the demo video and benefit from his insights, visit the platform offering the training and enroll for the SAP DataSphere course. Remember that continuous learning and staying updated with the latest SAP technologies are essential to excel in the competitive job market.

[aws-solutions]

Celebal Technologies: Pioneering AWS Cloud Solutions for Business Transformation 

Celebal Technologies is a leading AWS Advanced Tier Services Partner, recognized for our deep understanding of core AWS services. This expertise empowers us to design, build, and manage robust cloud architectures that perfectly align with your unique business requirements. 

Our team boasts a comprehensive portfolio of advanced AWS certifications, solidifying our proven track record of delivering secure, scalable, and cost-effective solutions on the AWS platform. As one of the leading AWS consulting services, we leverage the full potential of AWS to craft and implement cloud solutions that unlock the power of your data and propel organizational transformation.  Our all-encompassing suite of services equips you to achieve your business objectives through cutting-edge technology. 

Unleashing the Power of AWS Solutions 

Celebal Technologies offers a comprehensive range of AWS cloud solutions designed to optimize your operations and unlock new possibilities on AWS: 

SAP BW Migration: Simplify migrating your SAP BW to cloud platforms like Redshift, Datasphere, or Databricks using our SAP BW Migration Acceleration Packages. These packages can significantly speed up the process by 50-60% thanks to built-in solutions that translate and analyze even the most complex SAP structures, logic, and data models. This ensures a smooth and efficient migration. 

Contact Center Intelligence: This AI-powered solution leverages AWS Bedrock and other Amazon Web Services to unlock valuable insights from calls. It analyzes past interactions, assists agents in real-time, and automates tasks. The result? A significant boost in efficiency – calls are 30% shorter, resolutions rise by 25%, escalations drop by 40%, and complex issues are handled 50% faster. Additionally, agents save a massive 90% of search time and automate forms with live transcriptions, tripling their overall productivity. 

CT-Miner: Unveiling hidden knowledge from massive documents becomes effortless with this automated system. Powered by deep learning, it securely processes large files and delivers real-time insights.  Search through documents, extract key details, ask questions in natural language, uncover hidden themes, generate summaries, handle multiple languages, automatically import data, and even perform semantic image searches – all within a secure AWS environment. 

SAS Migration: Unleash the full potential of your data with Celebal's seamless SAS workload migration to the Lakehouse Platform. This powerful AWS-based solution tackles scalability, performance, and workload variety head-on, ensuring a quicker and more cost-effective migration. By leveraging the Lakehouse Platform, you'll unlock a world of comprehensive analytics possibilities, empowering your organization with faster data processing and deeper insights. 

SAP PO to Invoice Reconciliation Solution: Streamline your purchase-to-pay process with this automated solution. It utilizes Cloud Platform Integration (CPI) to effortlessly extract emails, securely stores purchase orders (POs) in Amazon S3, and leverages Textract for intelligent data extraction.  By validating POs against Goods Received Notices (GRNs) and automating invoice posting within SAP, the system ensures data accuracy and facilitates open item processing.  This translates to error-free data capture, optimized resource allocation, and automated validation checks –  all contributing to seamless regulatory compliance. 

Procurement AI Assistant: Powered by the cutting-edge capabilities of Amazon Bedrock and Anthropic Claude, our GenAI solution revolutionizes procurement by seamlessly integrating SAP data with unstructured sources. This AI powerhouse automates tasks like requisitioning, supplier analysis, spend optimization, and inventory management, while providing valuable market insights. Experience significant productivity gains through features like automated inventory monitoring, purchase orders, streamlined sourcing processes, improved supplier communication, and real-time KPI tracking. 

Sales AI Assistant: Take your sales team to the next level with our AI solution. It seamlessly combines data from your SAP system and other sources to prioritize leads, automate reports, analyze customer sentiment, and track performance across all sales activities. This not only ensures clean CRM data but also empowers your team with automated analytics and reporting, driving excellence in cross-selling, upselling, and uncovering new opportunities. 

STARGen AI: Forget complex queries! STARGen AI is your key to unlocking insights from massive datasets. This revolutionary AI solution uses natural language processing to understand your questions and translate them into SQL queries for structured data tables. Powered by cutting-edge large language models like Anthropic Claude and Llama 2, STARGen AI makes data interaction effortless, allowing you to extract valuable information with ease. 

Partner with Celebal Technologies for a Successful Cloud Journey 

By partnering with Celebal Technologies, you gain access to a team of AWS experts who are passionate about helping you achieve your business goals.  We will work closely with you to understand your specific needs and challenges, and then design and implement a customized cloud solution that delivers optimal results. 

Contact Celebal Technologies today at enterprisesales@celebaltech.com and unlock the full potential of AWS services for your business! 

[govindhtech]

SAP Datasphere now available on Google Cloud Marketplace

SAP Datasphere

According to Google Cloud and SAP, the cloud should provide more than just incredibly dependable, secure, and performant infrastructure. Additionally, it must to offer a multi-cloud, open, and comprehensive platform that lets your company leverage generative AI and analytics to extract the most value from its data. This is particularly relevant to important data that is kept on SAP systems, which include supply chains, finance, human resources, and more.

The Google Cloud alliance enables your company realise the full potential of its information to create continuous innovation, take on your most difficult business challenges, and make more informed decisions by combining Google Cloud’s generative AI and analytics capabilities with SAP data.

Google Cloud is thrilled to present new developments in AI and infrastructure at the SAP Sapphire conference today, enabling SAP clients to innovate and handle data more efficiently. These developments include:

A solution driven by AI to make supply networks more robust. The system combines SAP Joule and Integrated Business Planning (IBP) for Supply Planning with Google Cloud Cortex Framework and Gemini models.

A combined analytics solution with SAP Datasphere is currently offered on the Google Cloud Marketplace.

The release of memory-optimized X4 instances from Google Cloud, which offer the biggest SAP-certified compute instances available in the cloud and can support workloads up to 32TB SAP HANA.

Regional RISE extensions utilising SAP, SAP BTP, and SAP Datasphere in addition to assistance with RISE’s EU access.

Multiple Gemini updates that let SAP users use SAP GenAI Hub to leverage Google Cloud’s big language models and provide more gen AI capabilities to SAP workloads.

Accelerating resilient supply chains enabled by AI

Google Cloud is delving further into business-critical use cases that will provide clients a competitive edge as they collaborate with SAP on new innovations. It makes sense to use Google Cloud’s combined data and AI technologies to improve supply chain management and lower supply chain risks.

Organisations may accelerate insights from sensed events, threats, and opportunities to allow faster, more intelligent supply chain reactions by combining Cortex Framework and Gemini models with SAP’s generative AI assistant Joule and Integral Business Planning (IBP) for Supply Planning.

You may also assist in improving demand forecasting and supply chain risk mitigation using an AI-powered resilient supply chain, including use cases such as:

Improved demand forecasting with the incorporation of many data sources, including advertising efforts.

Supply chain risk mitigation using proactive disruption detection and alarms, supported by other data sources including meteorological and event data.

Enhanced productivity through options for automation, the capacity to manage ideal inventory levels, and more accurate planning.

You can now get SAP Datasphere on the Google Cloud Marketplace

Real-time access to your SAP and non-SAP data is still made possible by the SAP Datasphere integration with BigQuery. This includes access to publically accessible datasets within BigQuery as well as additional integrated data, such as Google Ads, that is accelerated by the Cortex Framework. Bidirectional replication and federation with BigQuery are now possible with SAP Datasphere’s Replication Flow, allowing for a petabyte-scale analytics and data science platform in addition to providing a basis for machine learning and gen AI with Vertex AI and Gemini. With SAP Datasphere for Google Cloud, which is offered on the Google Cloud Marketplace, all of this is accessible “out of the box.”

Customers using SAP Datasphere for Google Cloud have already produced impressive outcomes; one such customer was a large consumer electronics company that updated its sales reporting procedure. In order to replace their outdated PDF reports and update their entire reporting process, they developed a real-time sales reporting dashboard using SAP Datasphere, BigQuery, and Google Dataform for sales pipeline automation. They have consequently enhanced operating speed, saved a substantial amount of money, and produced greater business insights on business sales.

Presenting X4

More memory- and compute-intensive systems are needed to handle massive workloads as more multinational corporations move to SAP S/4HANA on the cloud. With 16TB, 24TB, and 32TB instances created especially for SAP HANA OLTP and OLAP workloads to run with optimal performance and dependability, Google Cloud is excited to present the X4 machine family. The X4 family leads the industry in several areas, including:

32TB instances certified by SAP HANA initially

Due to Google Cloud’s Titanium off-load technology, it offers 1920 vCPUs, more than double the amount of other approved hyperscalers, and industry-leading compute and Hyperdisk block storage speed (up to 10,000 MBps throughput).

With the industry-highest Compute Engine Memory-Optimized Single Instance SLA of 99.95%, the X4 Instance family guarantees outstanding dependability for SAP applications.

These systems also gain from the infrastructure differentiators offered by Google Cloud, which include the widest network footprint that provides low latency for SAP workloads and strong security features like proactive threat detection and inbuilt encryption.

According to Deloitte’s US Chief Technology Officer Shawn Lund, “our SAP HANA systems have seen significant data growth in the past few years with an increasing need for higher performance.” Google Cloud’s 24TB X4 servers and Hyperdisk storage have raised the bar for our data growth and performance. Also, Google’s X4 machines are cloud native, allowing system management and operations automation.”

Developing with SAP Clients for RISE

One example of how Google Cloud is investing to be the most dependable and scalable cloud provider for RISE with SAP workloads is the new high-performance X4 Instance family.

“SAP and Google Cloud have a deep co-innovation partnership, and Google Cloud is continuously launching new, differentiated solutions to benefit RISE with SAP customers,” says Lalit Patil, CTO of RISE with SAP.

Google Cloud is pleased to introduce two new products at SAP Sapphire:

New X4 Systems for SAP RISE

The most recent 16, 24, and 32TB X4 systems from Google Cloud are now supported by SAP RISE. This co-engineered solution will provide the performance and dependability required for even the biggest and most demanding SAP workloads, as proven by Google Cloud’s extensive testing through customer POCs.

Enhanced Compliance for Users in the EU

Google Cloud is happy to announce that EU Access for RISE is now available on Google Cloud. This takes care of Google Cloud’s European customers’ regulatory and compliance needs.

Asian Paints is a new RISE customer on Google Cloud that works with SAP. Aashish Kshetry, CIO of Asian Paints, states, “We chose Google Cloud for RISE with SAP because of their strong partnerships with SAP and their ability to manage large installations in the region.” “We are eager to implement SAP S/4HANA on their most recent platforms and infrastructure on Google Cloud in order to support our business innovations and long-term growth.”

Other recent developments that further establish Google Cloud’s standing as the best cloud partner for RISE with SAP clients are as follows:

The extension of SAP BTP and SAP Datasphere, with new launch areas scheduled for this quarter in Israel and Japan and later this year in Saudi Arabia, Australia, and Brazil.

The addition of SAP BTP to the ABAP SDK for Google Cloud. With the release of a fully supported version of the ABAP SDK on SAP BTP, Google Cloud becomes the first hyperscaler to assist customers in integrating AI, analytics, and automation into their SAP business processes through the use of 55 Google Cloud APIs.

Through SAP’s Customer Database Platform (CDP), organisations can directly integrate Vertex AI, bringing predictability to business operations, enhancing customer experiences, and spurring growth.

With the help of a natural language interface, SAP administrators may manage SAP deployments with the help of Gemini Assist for SAP, a part of Google Cloud Workload Manager (WLM).

Google Gemini LLMs are available in SAP GenAI Hub to enable SAP Joule and embedded generative AI capabilities across SAP’s product line. Ariba, SuccessFactors, S/4, and other workloads can all be improved by Google Cloud models. The most recent models from Google Cloud, such as Gemini Flash, which was unveiled at Google I/O in May, will remain available to SAP clients.

Read more on Govindhtech

[coolcreationdreamer]

Partnership with NVIDIA for Generative AI

SAP has recently partnered with NVIDIA to enhance the adoption of generative AI across its enterprise applications, a move that signifies a significant advancement in AI capabilities for business solutions.

Key Highlights of the Partnership

SAP Business AI:

The collaboration aims to build and deliver SAP Business AI, which includes scalable, business-specific generative AI capabilities integrated into the Joule copilot and across SAP's cloud solutions. The generative AI hub will underpin these capabilities, providing access to a broad range of large language models.

Generative AI in SAP Solutions:

The partnership will integrate generative AI into SAP's latest solutions such as SAP Datasphere, SAP Business Technology Platform (BTP), and RISE with SAP. This integration is expected to enhance AI capabilities within these platforms, enabling better data insights, process automation, and intelligent decision-making​.

Technological Integration:

SAP will leverage NVIDIA's generative AI foundry services to fine-tune LLMs for domain-specific applications. Additionally, new NVIDIA NIM microservices will be deployed to maximize inference performance, and NVIDIA Nem Retriever microservices will enhance data accuracy and insights using retrieval-augmented generation (RAG) capabilities​.

Use Cases and Applications:

The partnership explores over 20 use cases where generative AI can simplify and enhance digital transformation. These include intelligent invoice matching in SAP S/4HANA Cloud, improved HR functions in SAP SuccessFactors, and better business process recommendations in SAP Signaigo​.

Strategic Goals:

The strategic goal of this partnership is to help enterprises leverage AI to unlock the potential of their data, streamline operations, and drive innovation. This aligns with SAP's broader strategy to invest in technologies that deliver tangible business value and empower enterprises to stay competitive.

Overall, the SAP-NVIDIA partnership marks a significant step in making advanced AI capabilities accessible and practical for businesses, facilitating the integration of cutting-edge AI technologies into everyday business processes. This collaboration aims to bring about substantial efficiency and innovation in the enterprise sector.