Data Engineering Is Critical to Driving Data and Analytics Success
Data pipelines—from experimentation to production—don’t just create and maintain themselves. It’s the job of data engineers to build, manage, and operationalize data pipelines, while also guaranteeing compliance with data governance and security requirements.
This Gartner research report outlines how you can build a data engineering practice that has the technical chops to support hard data science and the soft skills to “speak analytics.”
Download this research to learn how to:
- Why data preparation is a core aspect of data engineering
- How to make data engineering a core data management discipline
- Build a data engineering practice based on business-IT collaboration, data integration leadership, a product mindset—and the most current technical developments
Gartner, Data Engineering Is Critical to Driving Data and Analytics Success, Roxane Edjlali, Nick Heudecker, Ehtisham Zaidi, 4 October 2018
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