4 strategies for engineering faster, automated data pipelines
Enterprise Architect’S Guide
Automating and accelerating your data pipeline is a key priority.
But in the world of complex cloud infrastructures, unstructured data, and advanced data science projects, it can be hard to oversee successful pipeline projects.
DataOps for analytics is a new approach that is focused on the processes, practices, and technologies for building and enhancing data pipelines.
Read this white paper to learn the top 4 strategies you can use to meet your integration challenges, discover the importance of catalogs in this process, and learn how Qlik’s Data Integration Platform takes advantage of these best practices to provide easily automated, trustworthy, and speedy data pipelines.