Live from #GartnerDA | 5 Ways to Enhance Your Data Engineering Practices with Robert Thanaraj, Gartner Director Analyst: gtnr.it/3JOkYPF
About this session: Analytics relies on a successful data foundation; it must be backed with the right data and processes. Robert explores 5 ways to enhance your #DataEngineering practices: gtnr.it/3JOkYPF #GartnerDA
#DataEngineering is a critical skill in high demand amongst employers with a 7.5% increase in demand. #GartnerDA
What are the key issues facing the field of #DataEngineering? Let’s take a look 🔽 #GartnerDA
First way to enhance your #DataEngineering practices: Avoid data engineering wastage with a value-first model. #GartnerDA
Second way to enhance your #DataEngineering practices: Increase release velocity by automating testing and release processes. #GartnerDA
Third way to enhance your #DataEngineering practices: Manage data as a product to promote reusability and modularity. #GartnerDA
Fourth way to enhance your #DataEngineering practices: Eliminate operations overhead for citizen users. #GartnerDA
Fifth way to enhance your #DataEngineering practices: Make collaboration explicit with cross-functional teams. #GartnerDA
A #DataOps enriched #DataEngineering practice can help workloads by creating a central team that develops and oversees best practices, tech leadership and metrics, then delivers their findings to satellite teams for deployment and execution. #GartnerDA
What is the hub-spoke responsibilities distribution method? The hub-spoke model enables you to formalize and scale #DataEngineering practice across the enterprise. #GartnerDA
What are more ways to enhance your #DataEngineering practices? Robert provides key recommendations for #data and #analytics leaders to follow. #GartnerDA
Want to gain more insights into Gartner #data and #analytics based research? Unlock a free exclusive Gartner expert led session recorded live from #GartnerDA now: gtnr.it/3ZXeDqv #CDAO #CDO
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