SQL Integrated Services (SSIS) uses a drag-and-drop interface and strong data transformation capabilities to import data and integrate it with numerous software tools and platforms, including ...

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 ...

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 ...

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 ...

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 ...

MarkLogic's new version of its database is designed to help companies deal with growing volumes of unstructured data.

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 ...