eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More All data is created in one place and moved–sometimes very ...

BigQuery vs Snowflake: Which ETL tool is best? Your email has been sent ETL tools can help you gain more actionable insights from your data sets across multiple sources. Read this comparison of ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new ...

Learn how to work with streaming data using Microsoft Fabric, KQL, and Real-Time Intelligence in this full-day Live! 360 ...

Microsoft has dabbled in the ETL (extract-transform-load) marketplace for a long time, in fact, almost 2 decades. Way back in the day, SQL Server shipped with a command-line tool known as the Bulk ...

If you want to make good data-driven decisions, it’s critical for your data to be as accurate as possible. But ensuring the accuracy of data can be a difficult task in large enterprise environments ...

To help drive business growth and make informed decisions, organizations often turn to data software systems to turn their datasets into actionable insights. However, with many data solution tools ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. MarkLogic released a new version of its database Oct. 19 ...

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 extract, transform and load (ETL) processes that feed Humana Inc.’s multiterabyte data stores consist of hundreds of custom-coded, table-driven Cobol programs. Those processes proved too ...