The first generation of Azure SQL Data Warehouse (SQL DW) was announced in 2015, and SQL DW "Gen 2" reached general availability in 2018. Today, at its Ignite confab on Orlando, Microsoft is ...
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Roughly six months after its unveiling at the Ignite conference last fall, Microsoft took a group of analysts and MVP professionals on a deep dive into the Azure Synapse Analytics service. As noted in ...
Microsoft Corp.’s Azure cloud is getting boosted with an array of data-focused updates, with expanded capabilities for its Intelligent Data Platform and new functions in its main database offerings ...
Microsoft continues to bolster its Azure data services offerings for enterprise users with its announcement that Azure Data Lake Storage Gen2 and Azure Data Explorer are now generally available for ...
SAN MATEO, Calif., Sept. 21 — SnapLogic, the industry’s first unified data and application integration platform as a service (iPaaS), today announced the availability of new pre-built intelligent ...
SAN FRANCISCO, Calif., March 22, 2017 — StreamSets Inc., a provider of innovative data-in-motion middleware, today announced integration of its award-winning StreamSets Data Collector™ open source ...
Microsoft Power BI users can now collaborate directly with Azure users using data stored in Azure Data Lake Storage Gen2 through new integration capabilities recently unveiled by Microsoft. The new ...
FPT is the largest private Vietnamese ICT company, spanning 27 countries with ten subsidiaries and affiliates. It implemented Azure Big Data Analytics services to empower its global teams with timely ...
Microsoft has beefed up several data analytics offerings in its Azure cloud platform, headed by the general availability of Azure Data Explorer. Azure Data Explorer fosters real-time analytics of ...
Microsoft today launched Microsoft Fabric, a new end-to-end data and analytics platform (not to be confused with Azure Service Fabric). The new platform centers around Microsoft’s OneLake data lake, ...
If there’s one thing a modern business needs, it’s data—as much of it as possible. Starting with data warehouses and now with data lakes, we’re using on-premises and cloud tools to manage and analyze ...
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