The DataOps process
DataOps in AWS refers to the application of DevOps principles and practices to data-related workflows and processes. It focuses on optimizing the development, deployment, and management of data pipelines, data integration, and data analytics solutions.
DataOps aims to improve the speed, quality, and reliability of data operations by fostering collaboration, automation, and repeatability across the data life cycle. It combines data engineering, data integration, data governance, and data analytics with the principles of CI/CD, version control, and IaC.
On AWS, several services and tools can be leveraged to implement DataOps practices:
- AWS Glue: The AWS Glue ETL service simplifies data preparation and integration. It allows you to create and manage data pipelines using workflows, perform data transformations, and automate ETL jobs.
- AWS Lake Formation: AWS Lake Formation is a service that simplifies the process of building, securing, and managing...
