Growing insights through hybrid data architectures

on YouTube ↗29m

" summary

Covers concrete patterns and tools for hybrid data: Amazon AppFlow ingests from 60+ apps to S3 or Snowflake and enabled a Salesforce-to-datalake pipeline in weeks for one customer; streaming architectures use MSK/Kinesis or partner Kafka with an example of 2,500 streaming sources feeding Redshift; catalog and quality use AWS Glue and AWS Glue Data Quality (Deequ) to flag issues before consumption; analytics use Athena federated queries and QuickSight at scale, with a cited 43% cost reduction in cost-per-query.

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" chapters (15)

1. 0:00Start
2. 1:48Top customer needs
3. 7:22End to end data strategy
4. 8:13Amazon Appflow
5. 12:23Orion real-time Data-as-a-Service
6. 13:40Amazon S3 the core of your data ecosystem
7. 14:42Your choice of Amazon S3 storage classes
8. 17:03AWS Glue Data Catalog example
9. 18:02AWS Glue Data Catalog with Snowflake
10. 19:34AWS Glue Data Quality
11. 21:13AWS Glue Data Catalog with Data Quality
12. 22:43Amazon Athena
13. 23:23Federated Query
14. 24:33Amazon QuickSight
15. 27:12Summary

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