What is a data engineering pipeline?

A data engineering pipeline is a series of processes and technologies used to collect, clean, transform, and organize data for analysis and decision-making. It involves extracting data from various sources, such as databases and applications, transforming it into a usable format, and loading it into a data warehouse or other storage system. Data engineering pipelines often involve the use of tools like Apache Kafka, Apache Spark, and Apache Airflow to automate and streamline the process of moving and processing data. By setting up an efficient data engineering pipeline, organizations can ensure that their data is accurate, reliable, and readily available for use in analytics and machine learning applications.

This mind map was published on 2 October 2024 and has been viewed 16 times.