But for those needing more robust ELT (extract, load, transform), data science, and machine learning features, Databricks is the winner. Synapse’s reliance on SQL and Azure offers familiarity to ...

Databricks said the free offering automates up to 80% of the migration lifecycle and can be used as part of a strategy to ...

The second major version of Azure Data Factory, Microsoft's cloud service for ETL (Extract, Transform and Load), data prep and ... after its initial release, SQL Server Integration Services ...

For example, when a Synapse cluster is provisioned, ADLS capacity -- which can store Spark SQL tables -- is requisitioned along with it (as is Azure Data Factory). Spark SQL tables are immediately ...

Databricks is a unified, cloud-based data intelligence platform that helps data scientists and engineers streamline their big data workflows—from extract, transform, and load (ETL) tasks and ...

Because this is essentially a first-party Azure service, users will also get all of the usual Azure SLAs and be able to deliver support to their joint customers — a group of Databricks engineers ...

Data warehouses that support external tables, such as Snowflake and Azure ... The Databricks SQL Editor is closely linked to the Data Explorer. In this next screen, we load and run a SELECT ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks ...

“So, a product like Databricks, if it’s not natively really, really integrated with something like Stream Analytics, or something like Azure SQL Data Warehouse, or something like Azure Cosmos ...