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 ...

ETL (Extract, Transform, Load) tools are crucial for firms intending to merge data from various sources, modify it into a useful form, and move it to a target database or data warehouse. The ...

Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without ...

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 ...

It’s hard to imagine data warehousing without ETL (extract, transformation, and load). For decades, analysts and engineers have embraced no-code ETL solutions for increased maintainability. Does this ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Organizations face steep obstacles related to finding ...

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 ...

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, ...