Legacy pipelines designed to accommodate predictable, slow-moving, and easily categorized data via extract, transform, load (ETL) processes are no longer adequate for the diversity of data types and ingestion styles of the modern data landscape.
Modern data pipelines are designed to extract and load the data first and then transform the data once it reaches its intended destination—a cycle known as ELT. Modern ELT systems move transformation workloads to the cloud, enabling much greater scalability and elasticity.
In this ebook, we explore:
- the advantages and disadvantages of each approach
- how to establish a versatile data management strategy
- when to consider ETL vs ELT for your data pipelines
To learn more, download our ebook, Moving from On-Premises ETL to Cloud-Driven ELT.