Webinar: How Business Leaders Can Evaluate the Productivity of Their Data Engineering Teams

It is often difficult to know whether your data engineering team is as productive and competent as it should be. When a data engineering team can't get ahead of its backlog and business users complain incessantly, it's tempting to question the team's effectiveness and capabilities. But if you don't have deep knowledge of data engineering practices, you won't know whether a two-week turnaround on a data request is good or bad.

This webinar of seasoned data architects and data engineers will discuss the telltale signs that your data engineering team is working productively or not. They will also examine how to rehabilitate an unproductive team and how to set KPIs to measure their output in an objective way. If you've ever questioned the approach or capabilities of your data engineering team, you won't want to miss this session!

You Will Learn:

-Symptoms of an ineffective data engineering team

-What questions to ask your data engineering team

-KPIs for measuring data engineering output

-When it makes sense to hire more data engineers and not

-Data engineering best practices your team should follow

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