Building a Cloud Data Lake with Databricks and AWS - Best Practices and Implementation

Building a Cloud Data Lake with Databricks and AWS - Best Practices and Implementation

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A data lake architecture enables data science

3 of 19

3 of 19

A data lake architecture enables data science

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Building a Cloud Data Lake with Databricks and AWS - Best Practices and Implementation

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  1. 1 Intro
  2. 2 What is a data lake?
  3. 3 A data lake architecture enables data science
  4. 4 Data lakes and analytics from AWS
  5. 5 Amazon Simple Storage Service (S3) Secure, highly scalable, durable object storage with millisecond latency for data access
  6. 6 Most ways to transfer data into the data lake Open and comprehensive
  7. 7 Most comprehensive and open
  8. 8 Cloud data lakes are great for data storage Data Lake is a file system that supports
  9. 9 Organizations want to operationalize To operationalize data lakes, you need features you expect on a database • Transactions
  10. 10 A new standard for building data lakes
  11. 11 Data reliability challenges with data lakes
  12. 12 Performance challenges with data lakes
  13. 13 Delta Lake: Adds Reliability & Performance
  14. 14 The A DELTA LAKE
  15. 15 Integration with Glue
  16. 16 Integration with Redshift
  17. 17 Cloud native enterprise solution
  18. 18 Best practices for building a cloud data lake
  19. 19 Databricks & AWS data lake implementation

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