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German software giant SAP You are pushing the bar on the data front to the next -generation AI use cases. The company today inserted Business Data Cloud (BDC), a new SAAS product that covers Lakehouse’s architecture to help equipment enrich their SAP ecosystem data with external data assets of different systems of origin and boost long -term value.
The product is the result of a historical collaboration with the main data ecosystem data ruins. Essentially, SAP BDC natively integrates capacities and data of the Databricks Data Intelligence Platform. This eliminates the need to create and maintain complex pipes and creates a harmonized database for advanced AI agents and analytical work loads.
Several companies, including Henkel, are using BDC to feed their AI projects. SAP itself is using enriched BDC to feed a new era of Joule agents focused on specific domains such as finance, service and sales. The development makes SAP another notable player, as well as Microsoft and Salesforce, reinforcing its database to establish the basis for AI.
SAP’s renovated Data Foundation
Over the years, SAP has been established as one of the main actors in business resources planning (ERP) with S4/Hana Cloud and several critical missionary applications for finance management, supply chain and human capital. These applications produce data at Petabyte scale with commercial context and have been promoting the analytical value and the analytical value for the equipment, through the Commercial Commercial Technology Platform (BTP).
Until now, SAP BTP has had a ‘DataSphere’ that allows companies to connect SAP data with systems information that are not SAP and, finally, links it with SAP Analytics Cloud and other internal tools for subsequent applications. Now, the company is evolving this experience in the unified BDC, natively fed by Databricks.
What Sap Business Data Cloud has on offer
What this means is that SAP is adopting the architecture of Lakehouse, creating a unified base that combines all SAP data products, from finance, expenses and data on the supply chain in SAP s/4hana and SAP Ariba, to the Learning and talent data at SAP SuccessFactors, with structured. and unstructured data from other varied but business critics, stored in Databricks.
Once the data is unified (by zero copy, bidirectional exchange), SAP BDC can take advantage of the specific databricks capabilities for work loads such as data storage, data engineering and Ia, all governed by the Databricks unit catalog .
“We take all these different data products, which are supplied and administered by SAP … and we will persist them in the Lakehouse of SAP commercial cloud, in a harmonized data model,” Irfan Khan, President and CPO for SAP Data and Analytics, he told Venturebeat. “This Lakehouse will have Databricks capabilities in which users are built.”
Previously, said Khan, users who had a large percentage of their data in Databricks and SAP data in S4 or BW had to build and manage complex pipes and replicate all data assets to the SAP platform while rebuilt the entire semantic and Basic data model at the same time. The approach took time and demanded that they maintain their updated pipes with changing data. However, with the native databricks integration, users have access to everything in one place and can directly do data engineering, data science and other tasks in addition to BDC.
“In Datasphere, I had a means to do something similar, but they were all data products managed by the client,” Khan explained. “Therefore, he had to enter the data platform, select data sources and build the data pipes. So, I had to find out what to replicate. Here, everything is administered by SAP. “
What this means for companies
In essence, this product with databricks food offers equipment a faster and more simple way to unify and mobilize their commercial data assets blocked in SAP and Databricks environments.
Combined and semantically improved data will pave the way to build next -generation AI applications aimed at different cases of use. For example, a team could use Databricks mosaic capabilities to develop domain -specific agents that could use the context of SAP commercial data, as well as specific data from external Databricks to automate certain functions of human capital management or supply chain.
In particular, SAP itself is taking advantage of this improved database to feed Joule agents ready to use aimed at automating tasks and accelerating workflows in sales, services and finance functions. These agents deeply understand end -to -end processes and collaborate to solve complex commercial problems.
Beyond this, BDC will have a capacity for “information applications”, which will allow users to connect their data products and AI models with real -time external data to offer advanced analysis and planning in all commercial functions.
More data partners to come
While the association underlines a great movement for both Databricks and SAP, it is important to keep in mind that Data Data Major led by Ali Ghodsi will not be the only one that reinforces BDC.
According to Khan, the exchange of data and the opening of the ecosystem are the first design principles of the company, and will expand to other data platforms through their Connect partners capabilities. This means that a business user will be able to choose the platform you prefer (or in which they are blocked) and bidirectionally share the data for specific use cases.
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