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LinkedIn Learning

Problem-Solving Strategies for Data Engineers

via LinkedIn Learning

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Overview

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Data engineers are facing a wide variety of problems every day. Learn best practices on how to approach the typical challenges.

Syllabus

Introduction
  • Introduction
  • What you should know
1. Roles and Phases
  • The data engineer
  • All important data engineering project phases
  • General challenges faced
2. Planning
  • Understanding the status quo
  • Collecting the right requirements
  • Defining good KPIs
3. Design
  • Keeping implementation efforts in mind
  • Choosing the right architecture and framework
  • Predicting costs and scaling better
  • The right benchmarking of existing tools
4. Implementation
  • Definition of work packages and responsibilities
  • Risk assessment
  • Testing the right parts
  • Having a good documentation
5. Operations
  • Approaches to monitoring
  • Approaches to bug fixing
  • Awesome training of staff, current and new
  • How to improve processes
Conclusion
  • Conclusion and outlook

Taught by

Andreas Kretz

Reviews

4.6 rating at LinkedIn Learning based on 169 ratings

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