In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets. This comprehensive guide by Chandoo delves into these powerful techniques, ...

The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

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 ...

Another interesting session I attended at the PASS Summit in Seattle was one concerning dealing with VLDBs in SQL Server. It was called “Big Data – Working with Terabytes in SQL Server” presented by ...

SQream, the scalable GPU data analytics platform, is partnering with Dataiku, the platform for everyday AI, to offer a strategic integration that brings together SQream’s big data analytics technology ...

Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data. SQL often struggles when it comes to managing massive amounts ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

If you’ve always been in awe of folks using the Google Search Console API to do cool things, this article is a good read for you. You can use BigQuery with the GSC bulk data export to get some of the ...