Data. It’s the word that that results in billion dollar valuations, that drives industries, that creates new revenue streams, and that has introduced a “New Economy” where companies are able to harness massive volumes of it to drive their businesses…
Continue reading Why ETL software and Data Warehousing Are Foundational to Modern Analytics
We’ve upgraded! Check out our new Top ETL Tools of 2019 post.Rolls Royce is synonymous with power, reliability and dependability. What many may be surprised about, is that the engine manufacturer that powers some of the world’s largest airplanes and ships…
Continue reading 5 Essential ETL Tools Data Analysts Can’t Live Without
ETL. It should be fairly straightforward, right? We extract data, transform it as needed, and load it into the target application. But like the recipe for the perfect Bloody Mary or the ideal hamburger, someone else’s way of doing things…
Continue reading The Worst Advice We’ve Ever Heard About ETL
Managing big data is a never-ending challenge. Extract, transform, and load (ETL) processes serve as the traditional foundation for enterprise data warehousing. However, with the emerging popularity of big data ETL tools, some IT experts are eyeing new methods for…
One of the most critical steps in building a data warehouse or building a data lake is integrating your data sources into one format.Data integration is a crucial step, and it can be done using Extract, Transform, Load (ETL) or…
Continue reading ELT vs. ETL: Differences in Design and Architecture
ETL processes (extract, transform and load) might be fundamentally flawed.When we save data we do so for a purpose. In the context of reporting that purpose is to enable us to answer questions regarding our business; what is the number…
Continue reading How to Improve the ETL Process Flow with Row Data Processing
