Since the early days of data warehousing, the concept of ETL (Extract, Transform, and Load) has been well-known and familiar. But a different approach to processing data for the warehouse has been gaining in favor and popularity. In the new order, made possible by the cloud, data is loaded before it’s transformed, thus changing the sequence to extract-load-transform and the corresponding acronym to ELT. But ELT is more than an anagram of ETL, and it’s not just an arbitrary resequencing of the same steps.
ELT is a fundamentally different approach to pre-processing data, in terms not only of architecture but philosophy as well. Today, as much data, from as many sources as possible, needs to be integrated into analyses. Enter ELT, which leverages the power of the cloud and the data warehouse platform itself, to do data transformation at scale.
To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dan D’Orazio, Solution Architect from Matillion, a major new player in the ELT arena.
In this 1-hour webinar, you will discover:
- Why the advent of cloud data warehouses changes the equation
- Why schema-on-read and ELT aren’t the same thing
- How ELT reduces coding, engineering and resource management efforts
Register now to join GigaOm and Matillion for this free expert webinar.
Who Should Attend:
- Chief Data Officers
- Business Intelligence Architects
- Cloud Architects
- Business Analysts
- Data Engineers
- Database Administrators and Developers
- Data Stewards