Turning Data into Knowledge

on YouTube ↗28m

" summary

Explains how AWS services can store, organize, protect and analyze growing volumes, variety and velocity of data. Presents the AWS data lake architecture and describes different AWS-based analysis options to extract hidden insights from data.

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" chapters (16)

1. 0:00Start
2. 0:19Customers want more value from their data
3. 3:47Flexible deployment options for Amazon EMR
4. 4:40Amazon EMR Studio integrated development environment
5. 6:22Amazon Kinesis Data Streams: Long-term retention
6. 8:28Amazon Redshift data sharing
7. 9:14Amazon Redshift ML
8. 9:58Amazon Redshift: Automated performance tuning
9. 10:42Amazon Redshift innovates to meet your needs
10. 12:17Operational analytics
11. 13:25Open Distro for Elasticsearch
12. 16:39AWS Glue Elastic Views
13. 18:27Federated queries in Amazon Redshift and Amazon Athena
14. 21:20Simplify security management with Lake Formation
15. 25:13Want to build a data vision and strategy?
16. 26:36Learn Data Analytics with AWS training and certification

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