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 ...

A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...

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 ...

At Matillion, we spend a lot of our time talking to users. We’re especially interested in hearing your thoughts and opinions on Matillion ETL; what you love about it, and how we could make it better.

Moving data between applications and warehousing data for analysis are recurring issues for app builders, data engineers, and IT teams. But we all know our businesses can benefit in significant ways ...

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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. John Hall covers entrepreneurial topics that help companies grow. Big data is a big deal. Spotting trends in data enables business ...

Business today depends on data. The ability to efficiently acquire, access, and analyze information is essential to effective decision-making. And better decisions are key to building better ...

Data lineage is the process of identifying the source of data, recording the transformations and flows of data over time, and visualizing data flow from sources to end users. Data lineage empowers ...