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 ...

Extraction, transformation and load (ETL) became a familiar concept in the 1990s, when data warehousing became a well known business intelligence (BI) concept. The advent of the web, and the vast ...

There is no doubt that the digital transformation age is here. Thanks to trends accelerated by the pandemic, every company is now a digital company. The question is which ones are riding this ...

Cycles of innovation in data management and analytics appear to drive classic ETL (Extract-Transform-Load) functions to a reversal, ELT (Extract-Load-Transform). The implications of this reversal ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. ETL (extract, transform, load) migration is often treated as an afterthought when companies ...

This story was co-published with Source. I avoided using GNU Make in my data journalism work for a long time, partly because the documentation was so obtuse that I couldn’t see how Make, one of many ...

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 ...

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 ...

As I mentioned in another thread, I'm beginning on my first large-scale ETL project. I'll be replacing an existing system that works, fixing a few bugs along the way. I'd like to take the opportunity ...