Tech Insights

ELT

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What is ELT?

ELT stands for Extract, Load, Transform. It is a data integration process where data is first extracted from various source systems, then loaded into a data warehouse or data lake, and finally transformed within the target system. This approach is particularly beneficial when working with large volumes of data and powerful data warehouses or data lakes that can efficiently handle the transformation process. ELT leverages the processing power of the target system, reducing the burden on the source systems and the ETL server, making it suitable for cloud-based data warehousing solutions.

What other technologies are related to ELT?

ELT Competitor Technologies

ELT is a variation of ETL. While ELT is the overall subject, ETL represents the reverse process. Thus, ETL competes as another data engineering paradigm.
mentioned alongside ELT in 5% (6.5k) of relevant job posts
Informatica is a suite of ETL tools that competes with ELT approaches.
mentioned alongside ELT in 1% (650) of relevant job posts

ELT Complementary Technologies

ELT pipelines are often used to populate data warehouses for analytics. Therefore, analytics and warehousing technologies are highly complementary.
mentioned alongside ELT in 80% (78) of relevant job posts
Blob storage often serves as the initial landing zone in an ELT pipeline, storing raw data before transformation.
mentioned alongside ELT in 31% (64) of relevant job posts
Snowflake is a cloud data warehouse commonly used as a target for ELT processes.
mentioned alongside ELT in 1% (2.1k) of relevant job posts

Which organizations are mentioning ELT?

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