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 ...

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 ...

GitHub hosts a wide range of database repositories that support developers working with database systems, SQL tools, and modern data engineering workflows. These open source database tools help power ...

The struggles many companies have had making data lakes work and the inability of SQL-based data warehouses to solve the modern problem of making data widely useful brings us to a fascinating ...

Microsoft's SQL Server toolbox is a morass of acronyms, from SMO to SSMS to SOS, and differentiating one from the other can be a challenge. I recently caught up with Vicky Harp, lead program manager ...

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 ...

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 ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...