ETL/ELT Insights

What is ETL/ELT?

ETL/ELT refers to the Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes used in data warehousing. ETL involves extracting data from various sources, transforming it into a consistent format, and then loading it into a data warehouse. ELT, on the other hand, extracts the data, loads it into the data warehouse, and then performs the transformation within the data warehouse environment, leveraging its processing power. Both approaches are used to consolidate data for business intelligence, reporting, and analysis. The choice between ETL and ELT depends on factors such as data volume, processing power of the data warehouse, and data governance requirements.

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What other technologies are related to ETL/ELT?

ETL/ELT Competitor Technologies

Azure Data Factory

A cloud-based data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale.

mentioned alongside ETL/ELT in 1% (908) of relevant job posts

Data Virtualization

An alternative approach to traditional ETL/ELT. It provides an integrated view of data without physically moving or transforming it. It is a competing method of integrating data.

mentioned alongside ETL/ELT in 7% (87) of relevant job posts

ActiveBatch

A workload automation and job scheduling tool that can be used to orchestrate and manage ETL/ELT processes. It competes with other orchestration tools.

mentioned alongside ETL/ELT in 9% (60) of relevant job posts

Airflow

A workflow management platform used to orchestrate ETL/ELT pipelines. Competing with other orchestration software like Azure Data Factory, ActiveBatch.

mentioned alongside ETL/ELT in 1% (656) of relevant job posts

Delta Live Tables

Databricks' framework for building reliable, maintainable, and testable data pipelines. It competes with other ETL/ELT tools and frameworks.

mentioned alongside ETL/ELT in 6% (58) of relevant job posts

Informatica

An enterprise data integration platform that offers ETL capabilities. Competes directly with other ETL tools.

mentioned alongside ETL/ELT in 1% (503) of relevant job posts

ETL/ELT Complementary Technologies

message-oriented data movement

Used to facilitate the movement of data between systems, often as part of an ETL/ELT pipeline. Examples include Apache Kafka or RabbitMQ. They are components within the architecture of data movement.

mentioned alongside ETL/ELT in 85% (81) of relevant job posts

data replication/CDC

Essential for capturing changes in source systems and propagating them to the target data warehouse or data lake. Provides the 'I' (Integration) part of the ELT/ETL process.

mentioned alongside ETL/ELT in 86% (79) of relevant job posts

Snowflake

Cloud-based data warehouse that serves as a target for ETL/ELT processes, offering scalable storage and compute resources.

mentioned alongside ETL/ELT in 1% (1.6k) of relevant job posts