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 about extract, transform, load, including the benefits, drawbacks, and top tools, in this comprehensive guide. Databricks, AWS and Google Cloud are among the top ETL tools for seamless data ...

Oracle has announced the general availability of Oracle Warehouse Builder 10g Release 2, the database design and Extraction, Transformation and Load (ETL) tool that helps customers manage the life ...

See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more. With more and more solutions entering the enterprise ...

Explore how Anusha Joodala's ETL design strategies empower business intelligence by transforming unstructured data into ...

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 ...

Third generation ETL tools are capable of handling structured data from different data sources including legacy systems such as mainframe and UNIX based application systems, spreadsheets, XML format, ...

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 ...

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 ...