DataOps is an emerging set of practices and technologies for building data and analytics pipelines to meet business needs quickly. As these pipelines become more complex and development teams grow in size, organizations need better collaboration and development processes to govern the flow of data from one step of the data life cycle to the next—from data ingestion and transformation to analysis and reporting.
Download this report to learn more about the principles, use cases and software solutions that contribute to effective DataOps initiatives. Also learn how Qlik delivers automated design and management of effective data pipelines for DataOps.