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, ...

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 ...

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 ...

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 All data is created in one place and moved–sometimes very ...

In today's IT landscape, information is crucial. Any business, could be a startup or an established one, requires relevant data or information to make better business decisions, manage sales ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Airbyte today announced it has raised $5.2 million in seed funding as ...

So, I've done plenty of ETL over the years, but always on a small scale, and with basic tools like DTS, SSIS, custom scripts, etc. Now I'm about to begin my first truly large-scale project (loading ...