Microsoft is touting a new version of SQL Server that features in-memory processing for faster web transactions. But Azure is fast becoming the star in Microsoft's big data strategy.

SQL Server 2019 introduces a custom capture option that enables you to fine-tune data collection to avoid this issue. Additionally, there are a number of enhancements around execution plan collection.

And, mind you, that growth was generated by SQL Server 2012, not SQL Server 2014, which brings its customers hybrid capabilities and in-memory processing that’s, on average, 1000 percent faster ...

Microsoft's SQL Server 2012 has released to manufacturing. This release of the 20+ year-old database has tie-ins to Hadoop and Big Data analytics in general.

Microsoft SQL Server and Big Data in the Cloud HDInsight is a 100% Apache Hadoop service, currently at v2.2, available through Microsoft’s Windows Azure cloud offerings. HDInsight makes all of the ...

Ignite, Microsoft's annual IT Pro and Developer confab kicks off today, with a slew of news in the data, analytics and AI areas of the company's stack, both in-cloud and on-premises.

It's the underlying technology behind many "big data" analysis tools being used to sift through huge volumes of information created by Web visits, server logs, and all other sorts of data streams.

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems.

When it comes to implementing a big data strategy in a Microsoft SQL Server shop, you're generally going to consider three approaches, one of which is a cloud implementation. SQL Server 2012, and even ...