Microsoft today released SQL Server 2022, the latest version of its database software, which originally launched more than 33 years ago. Microsoft describes this release as the “most Azure ...

At Ignite 2019, Microsoft launched Azure’s existing SQL Data Warehouse as Azure Synapse, rearchitected and rebranded, adding support for Apache Spark and its own Studio development and analytics ...

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 ...

Enterprises that use Azure Synapse to merge insights from data warehouses and data lakes need a data transformation solution that can pull in data from a variety of sources, and transform it to ...

As noted in Andrew's coverage last fall, Azure Synapse Analytics is a rebrand and evolution of Azure SQL Data Warehouse, broadening its footprint to span data warehousing,data lakes, and data ...

Let’s examine them both and see who comes out ahead. Azure Synapse, formerly the Microsoft Azure SQL Data Warehouse, is built on a strong SQL foundation and seeks to be a unified data analytics ...

Azure Synapse Analytics is the result of a lot of work ... drawing board and spent an additional two years revamping the heart of its data business, Azure SQL Data Warehouse, which lets customers ...

Azure Synapse Analytics, which Microsoft describes as “the next evolution of Azure SQL Data Warehouse.” Like SQL Data Warehouse, it aims to bridge the gap between data warehouses and data ...

I’ve long talked about how much I like Jupyter Notebooks, and you now get that experience with Azure Synapse Studio. That means you can develop and execute, at present, in Python, Scala, Spark SQL, ...

serverless data lake exploration with Synapse SQL, shared metadata store and built-in Power BI authoring." More can be learned about these new capabilities here. In further news on Azure analytics ...