We will discuss the Lakehouse platform features and capabilities in future blogs but as mentioned before we are going to focus on a data federation scenario to access data from Databricks SQL into SAP Datasphere.Ĭonsider a scenario where the data from a non-SAP source is continuously ingested into cloud object storage say AWS S3. And as mentioned on their site, the platform is simple, open & multi-cloud. Operating on multi-cloud environments and many more.Īnd Databricks is one such Lakehouse platform that takes a unified approach by integrating disparate workloads to execute data engineering, Analytics, Data Science & Machine Learning use cases.Support for open source & commercial tooling.Simplified security with a single source of truth.Enables Direct Data Access across SAP and Non-SAP sources.And by utilizing a combined data management platform such as lakehouse has the following benefits In simple terms, a lakehouse is a Data Management architecture that enables users to perform diverse workloads such as BI, SQL Analytics, Data Science & Machine Learning on a unified platform. Brief Introduction to the Lakehouse Platform There will be additional ways of integrating with Databricks in the future. Please note that what I am about to discuss further is the data federation scenarios between SAP Datasphere and Databricks that works as of today. There was an article posted by The Register regarding the SAP Datasphere and it exactly resonated with the SAP messaging But the current partnership with Databricks will focus to simplify and integrate the hybrid landscapes efficiently. ![]() ![]() Previously, there is a need to replicate the data completely out of SAP environments for customers to adopt the lakehouse platform. With the rise of the Lakehouse platform that combines both Data Warehouses & Data Lakes, there has been a trend with SAP customers exploring Unified Analytics Platforms or say unified environments that address different perspectives of data management, governance, development, and finally deployments of analytic workloads based on diverse data sources and formats. However, this blog focuses on the latest announcement related to open data partners and I am going to start by focusing on Databricks. I am sure there will be lots of blogs that will be published soon discussing the latest offerings, roadmaps, and features. Our Datasphere has been enriched with new features thereby delivering a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across SAP and non-SAP data. With the announcements in the SAP Data Unleashed, SAP introduced the successor of SAP Data Warehouse Cloud, SAP Datasphere – a powerful Business Technology Platform data service that addresses the Data to value strategy of every Enterprise organization to deliver seamless access to business data.
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