DataOps promises to streamline the process of building, changing, and managing data pipelines so organizations can maximize the business value of data and improve customer satisfaction.
DataOps emphasizes collaboration, reuse, and automation, along with a heavy dose of testing and monitoring. Using team-based development tools to create, deploy, and manage data pipelines, DataOps practitioners are able to speed up data Delivery and analytic output, while reducing data defects.
Download the research report to learn:
- How to apply the rigor of software engineering to data development
- How DevOps, Agile, Lean, and Total Quality Management (TQM) methodologies inform DataOps
- What it means to collaborate, iterate, automate, and standardize, reuse, refine.