Big Data Architectures and The Data Lake - Cloud

Big Data Architectures and The Data Lake - Cloud

PASS Data Community Summit via YouTube Direct link

Traditional Approaches Current state of a data warehouse

15 of 27

15 of 27

Traditional Approaches Current state of a data warehouse

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Big Data Architectures and The Data Lake - Cloud

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  1. 1 Intro
  2. 2 Upcoming Sessions
  3. 3 NEW* PASS Summit All Access
  4. 4 Enterprise data warehouse augmentation
  5. 5 Data hub plus EDW
  6. 6 All-in-one
  7. 7 Traditional business analytics process
  8. 8 Need to collect any data Hamess the growing and changing nature of data
  9. 9 The three V's
  10. 10 New big data thinking: All data has value
  11. 11 Two Approaches to getting value out of data: Top-Down + Bottoms-Up
  12. 12 Data Warehousing Uses A Top-Down Approach
  13. 13 The data lake' Uses A Bottoms-Up Approach
  14. 14 Exactly what is a data lake?
  15. 15 Traditional Approaches Current state of a data warehouse
  16. 16 Data Analysis Paradigm Shift
  17. 17 What is Hadoop?
  18. 18 Hortonworks Data Platform (HDP) 3.0
  19. 19 The real cost of Hadoop
  20. 20 Modem Data Warehouse
  21. 21 Data Lake with DW use cases Data Lake Staging & preparation
  22. 22 HUB & SPOKE ARCHITECTURE FOR BI
  23. 23 Federated Querying
  24. 24 Benefits of the cloud
  25. 25 Talking points when using the cloud for DW
  26. 26 DW SCALABILITY SPIDER CHART
  27. 27 Summary

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