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 ...

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 ...

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

Next, I will start with the ETL process and application scenarios to explain why companies are willing to invest resources in ...

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 ...

AWS has made a big push into data management during re:Invent this week, with the unveiling of DataZone and launch of zero-ETL capabilities in Redshift. But AWS also bolstered its ETL tool with the ...

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 ...