Today’s organizations must process a tremendous volume of data arriving in a wide array of forms and make data seamlessly available across diverse platforms and hybrid environments. For years, there was a standard order of operations for data delivery: ETL, or extract, transform, and load.
With data coming at us faster than ever, there’s another option on the table: ELT, or extract, load, and transform. ELT offers benefits that aren’t available in ETL, especially for situations where speed is critical.
Which model should you use, and when? Download the eBook to learn critical differences between ETL and ELT.
Why ETL was effective for so long – and where it falls short
What ELT delivers that ETL can’t
The advantages of ELT in big data management
Common use cases for ETL and ELT
How to build a real-time data pipeline with ELT
Benefits of adding change data capture (CDC) to ELT processes
The eBook highlights one ELT success story: how Jaguar Land Rover unlocked mission-critical data on premises and in the cloud for immediate, informed decisions.
