Best Practices for Building and Deploying Data Pipelines in Apache Spark

Best Practices for Building and Deploying Data Pipelines in Apache Spark

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Intro

1 of 19

1 of 19

Intro

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Best Practices for Building and Deploying Data Pipelines in Apache Spark

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  1. 1 Intro
  2. 2 Cox Automotive
  3. 3 KPMG Lighthouse
  4. 4 What is this talk about?
  5. 5 What do we mean by 'Data Pipeline?
  6. 6 Who is in a data team?
  7. 7 What do we need to think about when building a pipeline?
  8. 8 What about the business logic?
  9. 9 What about deployments?
  10. 10 What are the main challenges?
  11. 11 How were we dealing with the main challenges?
  12. 12 Could we make better use of the skills in the team?
  13. 13 What tools and frameworks would we need to provide?
  14. 14 How would we design a Data Engineering framework?
  15. 15 How would we like to manage deployments?
  16. 16 Simpler data ingestion
  17. 17 Simpler business logic development
  18. 18 Simpler environment management
  19. 19 Simpler deployments

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