Where your ELT provider normalizes your data can dramatically increase or decrease your compute costs.
Learn the major benefits of ELT tools and get a detailed analysis of the top eight solutions you can use.
Learn three reasons why you should only perform your data transformations post load.
Compare the features & pricing of 2023's top ETL tools.
Extract, transform, load (ETL) is a critical component of data warehousing, as it enables efficient data transfer between systems. In the current scenario, Python is considered the most popular language for ETL. There are numerous Python-based ETL tools available in the market, which can be used to define data warehouse workflows. However, choosing the right ETL tool or your needs can be a daunting task.
Good data hygiene means data is correct and easily used to draw insight. This definition then begs the question: How do you achieve it?