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German software giant Bait The tape is pushed on the front of the data to run cases of artificial intelligence from the next generation. The company today foot Business Data Cloud (BDC), the new Saas product that embraces Lakehouse’s structure to help the teams enrich the SAP ecosystem data with external data assets of different source systems and lead a long -term value.
The product is the result of cooperation cooperation with the main data of the ecological system. Basically, SAP BDC merges the possibilities and data of the Databricks. This removes the need to create and maintain complex pipelines and create a coordinated data basis for advanced artificial intelligence agents and analytical work burdens.
Several institutions, including henkel, BDC, are used to operate artificial intelligence projects. SAP itself uses fertilized BDC to operate a new era of Joule agents that focus on specific areas such as financing, service and sales. SAP development makes another prominent player, such as Microsoft and Salesforce, which enhances its data platform for Amnesty International.
The SAP Data Foundation, which was renewed
Over the years, SAP has created itself as one of the major players in the ERP resource (ERP) with the S4/Hana Cloud and many important applications for financing, supply chain and human capital management. These applications produce data on the Petabyte scale with the context of the work, and have been operated from artificial intelligence and the analytical value of the teams, via the company’s business technology platform (BTP).
To date, Sap BTP “Datasphere” allowed institutions to connect data from SAP with information from non -SAP systems and finally link them using SaP Analytics Cloud and other internal tools for estuaries. Now, the company is developing this experience in the unified BDC, supported by Databricks.
What Sap Business Data Cloud offers
What this means is that the SAP adopts the structure of Lakehouse, which creates a unified basis that combines all SAP data products – from financing, spending and supply data at SAP S/4Hana and SAP Ariba, to learning and talent in SaP SuccessFactors – with an organizer and non -structured data from other systems Various and calm, stored in data.
Once the data is unified (via zero version, two -way sharing), SaP BDC can take advantage of the data possibilities of work burden such as data warehouse, data engineering and AI, all governed by Unity Databrics.
“We take all these different data products, which are provided and managed by SAP … and we will continue in Lakehouse of SAP Business Data Cloud, in a consistent data form,”, tell Venturebeat. “This will have a databrics possibilities for users to build on.”
In the past, Khan said, users who have a large percentage of their data in data data and SAP data in S4 or BW had to create and manage complex pipelines and repeat all data assets to the SAP platform while rebuilding the entire indications and the basic data form at the same time. The approach took time and asked them to keep their pipelines while changing the data. However, with the original integration of DATABRICKS, users can access everything in one place and can carry out data engineering directly, data science and other tasks above BDC.
“In Datasphere, you had a way to do something similar, but they were all customer -running products,” Khan explained. “Therefore, you had to go to the data platform, identify data sources and create data pipelines. Then, you had to know what you repeated. Here, all managed by SAP.”
What does this mean for institutions
In essence, this product -backed data is given the difference is a faster and simpler way to unify the assets of their business data and mobilize them in SAP and Databrics.
The joint and improved data will pave the way for building artificial intelligence applications from the next generation, which aims to different cases of use. For example, the team can use Databricks from AI to develop the field intelligence agents of the field that can use the context from SAP business data as well as data data for data to automate some human capital functions or supply chain.
It is worth noting that the SAP itself takes advantage of this enhanced data basis to operate Joule’s ready -made agents for use that aims to automate tasks and accelerate the workflow through sales, services and financing. These agents understand the depth of comprehensive operations and cooperation to solve complex work problems.
Moreover, BDC will have the ability to “Insight applications”, which will allow users to connect their data products and artificial intelligence models with external external data to provide advanced analyzes and planning through business functions.
More upcoming data partners
Although the partnership confirms a big step for both data and SAP data, it is important to note that the Data Data Specialization by Ali Ghodsi will not be the only BDC to enhance BDC.
According to khan, data sharing and ecosystem openness is the first principle of design for the company – and will expand to other data platforms through partner communication capabilities. This means that the institution’s user will be able to choose the statute they prefer (or that it has been closed) and sharing the dual -direction data for targeted use cases.