According to Gartner, “organizations that focus on business value, as opposed to technological enhancements, relative to data engineering efforts are more efficient in prioritizing data delivery demands”. In the same vein, “many organizations are operating monolithic data systems and processes that are massively slowing their data delivery time.”
Today, data engineering teams have a ton of pieces to manage and spend 90% of their time on integrations and maintenance. Do you want to focus on the best-of-breed tech or the best-of-breed outcome?
Gartner has identified five differentiating traits among successful data engineering practitioners in their latest report “5 Ways to Enhance Your Data Engineering Practices” published on January 24, 2023, by analysts Robert Thanaraj, Ehtisham Zaidi, Roxane Edjlali, and Mark Beyer.
“Consumer demand for usable data has increased the need for data engineers. By fostering collaboration, proving business value early, automating release processes, managing data as a product and eliminating operations overhead, data and analytics leaders can enhance their data engineering practices.”
