AWS re:Invent 2017

590 Folgen

1. DAT308: A story of Netflix and AB Testing in the User Interface using DynamoDB

   Vom: 1.12.2017
2. DAT310: Which Database to Use When?

   Vom: 1.12.2017
3. DAT311: Technology Trends in Data Processing

   Vom: 1.12.2017
4. DAT326: How DynamoDB Powered Amazon Prime Day 2017

   Vom: 1.12.2017
5. DEV206: Life of a Code Change to a Tier 1 Service

   Vom: 1.12.2017
6. DAT313: Running Oracle Databases on Amazon RDS

   Vom: 1.12.2017
7. DAT312: Migrating Your SQL Server Databases to Amazon RDS

   Vom: 1.12.2017
8. DAT314: Best Practices for Running PostgreSQL on AWS

   Vom: 1.12.2017
9. DAT315: A Practitioner's Guide on Migrating to, and Running on Amazon Aurora.

   Vom: 1.12.2017
10. DAT316: Report from the Field on the PostgreSQL-compatible Edition of Amazon Aurora

    Vom: 1.12.2017
11. DAT317: Migrating Databases and Data Warehouses to the Cloud: Getting Started with AWS DMS and AWS SCT

    Vom: 1.12.2017
12. DAT318: NEW LAUNCH! Deep dive on Amazon Neptune

    Vom: 1.12.2017
13. DAT319: NEW LAUNCH! Amazon Neptune Overview and Customer Use Cases

    Vom: 1.12.2017
14. DAT320: Moving a Galaxy into the Cloud: Best Practices from Samsung on Migrating to Amazon DynamoDB

    Vom: 1.12.2017
15. DAT321: From Minutes to Milliseconds: How Careem Used Amazon ElastiCache for Redis to Accelerate Their Ride Share Application

    Vom: 1.12.2017
16. DAT322: The Nanoservices Architecture That Powers BBC Online

    Vom: 1.12.2017
17. DAT325: Snapchat Stories on Amazon DynamoDB

    Vom: 1.12.2017
18. DAT323: Dating and Data Science: How Coffee Meets Bagel Uses Amazon ElastiCache to Deliver High-Quality Match Recommendations

    Vom: 1.12.2017
19. DAT324: Expedia flies with DynamoDB: lightning fast stream processing for travel analytics

    Vom: 1.12.2017
20. ABD206: Building Visualizations and Dashboards with Amazon QuickSight

    Vom: 1.12.2017