Problem-Solving Strategies for Data Engineers
Problem-Solving Strategies for Data Engineers
Duration: 1h 55m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 202 MB
Genre: eLearning | Language: English
Duration: 1h 55m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 202 MB
Genre: eLearning | Language: English
Data engineers face a wide variety of problems every day—and often variations of the same problems. In this course, data engineer Andreas Kretz takes you through a variety of common problems you may face and shares her problem-solving strategies for typical problems within all phases of engineering projects. Andreas teaches you how to recognize which phase of a data project you’re in—planning, design, implementation, and operations—and shares solutions targeted to problems you may encounter in each phase. Andreas teaches you how to identify key knowledge performance indicators (KPIs) in planning, how to predict costs and scale better in the design phase, explains why and how to do a risk assessment, and shares some tips on bug fixing and ways you can improve your process. If you’re looking for better ways to deal with data engineering issues, join Andreas in this course to take your problem-solving skills to the next level.
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