ELT Versus ETL: Which One Is Right for Your Environment?
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, June 22, 2022
Time: 9:00 a.m. PT, 12:00 p.m. ET
As organizations seek to utilize higher volumes of more diverse data, data delivery and integration have become more important than ever. ETL (extract, transform, and load) rose to prominence in the 1980s when data warehouses became popular. ETL provided a well-established set of steps for delivering data to the data warehouse. Data was first extracted from source systems, then transformed before being loaded into the data warehouse.
A new model, ELT (extract, load, and transform), has become popular over the past few years as cloud platforms have become more important. Here, data is loaded to the cloud platform before it is transformed. This method “pushes down” processing of the data to use the computing power of the cloud.
So, which method is better? The reality is that there are pros and cons of each. Join TDWI and Matillion as they discuss the practical differences.
You will learn about:
- Trends leading to the rise of ELT
- Differences between ETL and ELT in practice
- Considerations for ETL and ELT use in modern platforms
Senior Director, Product Marketing
Mark Balkenende has had a long career of mastering and integrating data at a number of enterprise companies, including Motorola, Abbott Labs, and Walgreens. Mark is a developer at heart stuck in a Product Marketing role. He loves to geek out and explain how different technology and cloud stacks will help you evolve your business.
Fern Halper, Ph.D.