Tech Insights

Extract Transform and Load (ETL)

Last updated , generated by Sumble
Explore more →

What is Extract Transform and Load (ETL)?

Extract, Transform, Load (ETL) is a data integration process that combines data from multiple sources into a single, consistent data store such as a data warehouse or data lake. It involves extracting data from various sources, transforming it to meet specific business requirements (e.g., cleaning, standardization, aggregation), and loading it into the target data store. ETL is commonly used for business intelligence, data analytics, and data migration.

What other technologies are related to Extract Transform and Load (ETL)?

Extract Transform and Load (ETL) Complementary Technologies

SQL is a query language used extensively in the Extract and Load phases of ETL processes. It's crucial for data extraction from various databases and for loading data into target data warehouses or data lakes.
mentioned alongside Extract Transform and Load (ETL) in 0% (54) of relevant job posts

Which job functions mention Extract Transform and Load (ETL)?

Job function
Jobs mentioning Extract Transform and Load (ETL)
Orgs mentioning Extract Transform and Load (ETL)
Data, Analytics & Machine Learning

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.