Sap Taps Databricks to improve AI readiness with the new business data cloud

German software giant Sap Press the strip on the data front to power the use of the next generation AI. The company today introduced Business Data Cloud (BDC), a new SAAS product that covers Lakehouse’s architecture to help teams enrich their SAP data data with external data assets from different sources and stimulate long -term value.

Product is the result of remarkable collaboration with basic data ecosystems DatabricksS Essentially SAP BDC Pory integrates the capabilities and data of the Databricks Data Intelligence Platform. This eliminates the need to create and maintain complex pipelines and create a harmonized basis for data for advanced AI agents and analytical loads.

Several businesses, including Henkel, use BDC to power their AI projects. SAP itself uses the enriched BDC to power a new era of Joule agents Focused on specific domains such as finances, services and sales. Development makes SAP another remarkable player similar to Microsoft and SalesforceEnhancing your data platform to lay the foundation of AI.

Foundation for Updated SAP Data

Over the years, SAP has established itself as one of the leading players in the Corporation’s Resources (ERP) with the S4/HANA cloud and several mission -critical financing applications, supply chain and human capital management. These applications produce scale data on the business context and power AI and analytical value for the teams through the company’s business technology platform (BTP).

SAP BTP has ever had ‘Datasphere“This allows businesses to connect SAP data to non-SAP systems and ultimately to connect them to SAP Analytics Cloud and other internal tools for the down chain applications. The company is now developing in this experience in the single BDC, which is powered by the Databricks base.

What does Cloud Business Data Cloud offer

This means that SAP covers the Lakehouse architecture, creating a united base that combines all SAP Data products – from financing, spending and supply chain in SAP S/4hana and SAP ARIBA to SAP SUCCESSFACTORS Learning and Talents – With structured and unstructured data from other diverse but critical business systems stored in the base.

Once the data is combined (by zero copying, two -way sharing), SAP BDC can use database -specific load capabilities such as data storage, data engineering and AI, all managed by the Unity Unity catalog.

“We take all these different data products that are provided and managed by SAP… and we will keep them in the cloud of Lake House of Sap Business Data, in a harmonized data model,” Irfan Khan, President and SAP Data and Analyzing, Venturebeat told. “This Lakehouse will have opportunities for users -based base to upgrade.”

Previously, said Khan, users who have a large percentage of their data in the database and SAP data in the S4 or BW, had to build and manage complex pipeline The main data model at the same time. The approach took time and required them to maintain their pipelines updated with changing data. However, with the native integration of Databricks, users have access to everything in one place and can directly do data engineering, data science and other tasks on the BDC top.

“At Datasphere, you had the means to do such a thing, but they were all customer -managed products,” Khan explained. “So, you had to enter the data platform, select data sources, and build data pipelines. Then you had to find out what to repeat. Here, everything is managed by SAP. “

What does this mean to businesses

Basically, this base-powered product gives the teams a faster, simpler way to combine and mobilize their business data assets locked in SAP and Databricks Environment.

Combined, semantically improved data will pave the way to build next -generation AI applications aimed at various use cases. For example, a team may use the AI ​​AI capabilities of Databricks AI to develop AI -specific AI domain agents that could use the context of SAP business data as well as external data specific to automate specific Human capital management functions or supply chain.

In particular, SAP itself eavesdrop for this improved data foundation to power, ready-to-use Joule agents aimed at automating tasks and accelerating work processes in sales, services and finance functions. These agents deeply understand the end -to -end processes and collaborate to solve complex business problems.

Beyond that, the BDC will have the “Insight Apps” capacity, which will allow users to connect their data products and AI models with external data in real time to provide advanced analysis and planning in business features.

More data partners are yet to come

Although the partnership emphasizes a large move for both Databricks and SAP base, it is important to note that the specialty data led by Ali Ghodsi will not be the only boosting BDC.

According to Khan, sharing data and the openness of ecosystems are the first principles of the company’s design – and they will expand to other data platforms through their ability to connect the partner. This means that a business user will be able to choose the platform they prefer (or is locked) and two -way sharing data on cases of purposeful use.