Databricks and SAP are expanding their partnership to provide end-to-end data and AI capabilities, allowing customers to accelerate time to value for advanced analytics and AI by leveraging SAP's deep understanding of business processes and Databricks' industry-leading data platform. The new SAP Application Data Foundation makes SAP application data available for consumption in SAP Business Data Cloud, including SAP Databricks, and provides a cloud-native way to access SAP application data, helping to lower total cost of ownership and reduce time to value. AI summary
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Procore has implemented OpenSharing on Databricks to power its construction analytics solution, doubling the catalog of extractable data for its customers across all projects and regions. This allows customers to pull data for their downstream systems and business processes hourly, rather than daily. AI summary
Databricks Lakehouse Federation allows querying on-premises databases directly from Databricks with standard SQL, without moving data, and enables subscription to third-party data from the Databricks Marketplace, also without data movement. This approach lets users create federated connections to external databases, query them directly, and combine the data with third-party data in a single SQL query, without persisted intermediate objects. AI summary
Migrating from Google BigQuery to Databricks Lakehouse requires a strategic framework, encompassing a phased approach with governance, technology, and people elements. This framework enables organizations to unify BI, ETL, and multi-model AI workloads into one environment, reducing operational overhead and improving predictability. AI summary