There's a new buzzword on the loose, the "data lake." At first glance, a data lake could be easily mistaken for a data warehouse. The two big data concepts have a common focus on analytics and they ...

Developers have updated SQL’s syntax to make it a bit neater and easier to read, so it’s less jarring to shift gears between writing code for the browser and retrieving data. The creators of ...

A large storage repository that holds data in their original format prior to being parsed and analyzed. The term is often associated with Hadoop, which was designed to hold huge amounts of data ...

In general, Synapse Analytics seeks to unify an array of analytics workloads, including data warehouse, data lake ... Also read: The big data odyssey of SQL Server 2019, and more data and AI ...

Also read: At Ignite, Microsoft enhances its cloud database, warehouse and lake ... statement, accommodating different data sizes based on provided runtime parameter values. SQL Server 2022 ...

Dive into data ... your data lake. As an example, you could address the need for a schema by creating a Hive metastore in ORC format. Once it’s set up, the metastore supports fast SQL queries ...