In this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. BlazingSQL is a GPU-accelerated SQL engine built on top of ...

Using SSDT means we don't just shout orders at the database; instead, we plan what we're going to say. For almost 13 years, Microsoft has tried to make Visual Studio a place where developers can do ...

I've been playing around with the new SQL Server Data Tools, and although many have complained about missing features compared to the "Data Dude" Visual Studio projects and other tools that SSDT ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

The first tools for populating data warehouses focused on moving data from relational databases. They provided GUIs for pulling data from an RDBMS (extracting it), massaging the data into a standard ...