Azure Data Engineering Tools: Choosing Between Data Factory, Databricks, and Synapse Analytics

Azure Data Engineering Tools: Choosing Between Data Factory, Databricks, and Synapse Analytics

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Conclusion

34 of 43

34 of 43

Conclusion

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Classroom Contents

Azure Data Engineering Tools: Choosing Between Data Factory, Databricks, and Synapse Analytics

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  1. 1 Intro
  2. 2 Agenda
  3. 3 Household announcements
  4. 4 Who is Alice
  5. 5 What does Alice need
  6. 6 What does the data look like
  7. 7 What do we know
  8. 8 What do you think
  9. 9 What is Azure Data Factory
  10. 10 Azure Data Factory Canvas
  11. 11 Why you should not use Azure Data Factory
  12. 12 What is Databricks
  13. 13 Who can use Databricks
  14. 14 Why use Databricks
  15. 15 Notebooks
  16. 16 Technical Knowledge
  17. 17 Synapse Analytics
  18. 18 Multiple disciplines
  19. 19 Comprehensive platform
  20. 20 Languages
  21. 21 Notebook
  22. 22 Error in Databricks
  23. 23 Error in Synapse Analytics
  24. 24 Lets Compare
  25. 25 What did Alice learn
  26. 26 What should Alice choose
  27. 27 Comparing tools
  28. 28 Comparing Spark clusters
  29. 29 Optimized Spark
  30. 30 Implementation Costs
  31. 31 Performance
  32. 32 Performance comparison
  33. 33 Cost comparison
  34. 34 Conclusion
  35. 35 Benchmarks
  36. 36 Summary
  37. 37 Maturity vs integration
  38. 38 Which should you choose
  39. 39 Its not that easy
  40. 40 When to use Azure Data Factory
  41. 41 When to use Databricks
  42. 42 When to use Synapse
  43. 43 Chart to make a decision

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