The widely used Structured Query Language is gaining new life as a standard data access method for Big Data.

Remember when SQL developers felt threatened by Big Data? Relational database management systems were old-school relics that couldn't cope with the vast amounts of unstructured, disparate data. NoSQL ...

Not surprisingly, Microsoft itself uses this to provide Big Data services right within Excel – Excel is one of the primary clients to enable big data analytics on Microsoft platforms.

The second course is "Microsoft SQL 2019 – Big Data", where you will learn everything you need to know in order to begin working in SQL Server 2019 with Big Data Clusters.

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.

SQL-Driven Data Ingestion: Enhancing Big Data Pipelines With Python Automation In an era where data drives decision-making and innovation, the ability to effectively manage and process vast ...

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 ...

In an age of NoSQL and Hadoop, original 'Big 3' RDBMS vendor Oracle Corp. is getting back to its roots with a new product designed to integrate access across all three data stores with a single SQL ...

The biggest feature in the SQL Server 2019 preview launched at Ignite is SQL Server Big Data clusters. Travis Wright, Microsoft's principal program manager for SQL Server, explains exactly what ...

Now Teradata is making a "big data" play. The Aster SQL-MapReduce framework combines SQL with prepackaged MapReduce modules that are executed through an integrated Hadoop environment.