data pipelines Insights

What is data pipelines?

Data pipelines are a set of processes that move and transform data from one or more source systems to a destination, such as a data warehouse or data lake. They are commonly used to automate the extraction, transformation, and loading (ETL) process, enabling businesses to consolidate and analyze data from various sources for reporting, analytics, and decision-making. Common use cases include preparing data for machine learning models, creating dashboards, and supporting business intelligence.

Find organizations using data pipelines on Sumble →

What other technologies are related to data pipelines?

data pipelines Complementary Technologies

Data Orchestration

Data orchestration tools help manage and automate data pipelines, which can be used to manage data quality processes.

mentioned alongside data pipelines in 22% (61) of relevant job posts

Data Warehousing

Data warehouses are destinations for cleaned and transformed data. Data quality processes are essential for ensuring the reliability of data in data warehouses.

mentioned alongside data pipelines in 2% (350) of relevant job posts

Data Lakes

Data lakes store data in its raw format. Data quality processes are important to assess and improve data stored within a data lake to ensure appropriate and meaningful use.

mentioned alongside data pipelines in 2% (225) of relevant job posts