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The State Of Data Preparation In 2019

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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

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""