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German software giant Sap is pushing the bar in front of the data to powerful cases of AI use. The company now introduced The Data Cloud Data (BDC), a new SaAs product that embraces the architecture of the lakhouse to help teams enrich their SAP ecosystem data with external data assets from various resource systems and drive a long -term value.
Product is the outcome of a landmark cooperation with data ecosystem major Databricks. Importantly, SAP BDC native includes capabilities and data from the Databricks intelligence data platform. It eliminates the need for creating and maintaining complex pipelines and creates a harmonious data foundation for advanced AI agents and analytical workloads.
Many businesses, including Henkel, use the BDC to empower their AI projects. SAP itself uses the enriched BDC to be powerful a new era of Joule agents Focused on specific domains such as finances, services and sales. Development makes the SAP of another well -known player, such as Microsoft and SalesforceStrengthen its data platform to lay the foundation for AI.
The that -revamp SAP data
Over the years, SAP has established itself as one of the leading players in Enterprise Resource Planning (ERP) with S4/Hana Cloud and several applications of critical mission for finance, supply chain and human capital management . These apps produce petabyte-scale data with a business context and activate AI and analytical values for teams, through the company's business technology platform (BTP).
So far, SAP BTP has had 'Datasphere'It allows businesses to connect data from SAP with information from non -SAP systems and will eventually associate it with SAP analytics clouds and other internal tools for upstream applications. Today, the company is emerging this experience with the BDC, natively strengthened by Databricks.
What is the SAP Business Data Cloud offer
What does this mean is the architecture of the lankhouse architecture, creating a single foundation that combines all SAP data products -from finance, spending and supply chain data to SAP s/4hana and sap and sap ARIBA, in studying and talented data on SAP SuccessFactors -with structured and unoccupied data from other different but critical business systems, stored in Databricks.
When unified data (by zero-copy, BI-Direction Sharing), SAP BDC can use capabilities that are specific databricks for workloads such as data waresousing, data engineering and AI, all is Managed by Databricks Unity Catalog.
“We take all of these different data products, which is intended and managed by SAP … and we will continue in the SAP Business Data Cloud's lachouses, in a neat data model,” IRFAN Khan, president and CPO for SAP and analytics data, told Venturebeat. “This lakhouse will have Databricks capabilities for users to be built.”
Previously, Khan said users with a large percentage of their data on Databricks and SAP data to S4 or BW had to develop and manage complex pipelines and copy all data assets on the SAP platform while The entire semantics and the main data model were rebuilt at the same time. The approach took time and asked them to keep their data change pipelines. However, in the native integration of Databricks, users have access to everyone somewhere and may directly produce data engineering, science science and other activities at the top of the BDC.
“In Datasphere, you have a way to do something similar, but they are all products managed by customer data,” Khan explained. “So, you need to go to the data platform, select data resources and build data pipelines. Then, you need to know what to replicate. Here, it is all managed by SAP.”
What does this mean for businesses
At its core, this Databrick-enabled product provides teams faster, simpler ways to unify and mobilize their business data assets locked within SAP and Databricks environments .
The combined, semantically enhanced data will give way to the development of the next Gen AI applications aimed at different cases of use. For example, a team may use mosaic AI's capabilities of Databricks to generate AIs who are definitely AI that can use context from SAP business data as well as external data specific databricks to Capital chain function management automatically.
Interestingly, the SAP itself is tapping the improved foundation of this data in power ready to use Joule agents aimed at automating tasks and accelerating workflows in sales, service and financial function. These agents deeply understand end-to-end processes and cooperate to solve complex business problems.
Furthermore, the BDC will have the ability of “Insight Apps”, which will allow users to connect their data products and AI models with external real-time data to deliver advanced analytics and planning business functions.
Many more data partners to come
While the collaboration emphasizes a major move for both Databricks and SAP, it is important to note that the basic data led by Ali Ghodsi is not the only bolstering BDC.
According to Khan, the data sharing and the openness of the ecosystem are the first principles of the company's design – and they will expand to other data platforms through their partner connecting capabilities. This means that an enterprise user can choose the platform they want (or that they are locked) and bi-directed to share data for target use cases.
