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What is ELT?

Last updated Dec 14, 2022 - Edit Source

ELT (Extract, Load, and Transform

) is a data integration

What is Data Integration?

Data integration is the process of combining data from disparate source systems into a single unified view. This can be...

8/8/2023

approach that extracts (E) data from a source system, and loads (L) raw data into a destination system before it transforms (T) the data. In other words, in the ELT approach, transformation (T) of the data is done within the destination Data Warehouse

What is a Data Warehouse?

A Data Warehouse, in short DWH, also known as an Enterprise Data Warehouse (EDW), is the traditional way of collecting data as...

8/8/2023

after data has been loaded.

ELT is in contrast to the more traditional ETL

What is ETL?

ETL (Extract, Transform, and Load) is a paradigm for moving data from one system to another. It involves reading data...

8/8/2023

data integration approach, in which data is transformed before it arrives at the destination. See ETL vs ELT

ETL vs. ELT

ETL (Extract, Transform, and Load) and ELT (Extract, Load, and Transform) are two paradigms for moving data from one system to...

8/8/2023

for a more detailed comparision of these approaches.

The shift from the ETL paradigm to the ELT paradigm has been made possible thanks to the plummeting cost of cloud-based computation and storage, and the appearance of cloud-based data warehouses like Redshift, BigQuery, or Snowflake.

The following image demonstrates the ELT approach to data integration – in this diagram dbt creates and manages the SQL that is used for transforming the data in the destination:

ELT is also related to Reverse ETL

What is Reverse ETL?

Reverse ETL is the flip side of the ETL/ELT. With Reverse ETL, the data warehouse becomes the source rather than the...

8/8/2023

which you can find more information about at: Reverse ETL Explained or Airbyte.com.