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