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Introduction

The fact that data platforms and machine learning accounted for roughly two-thirds of AWS CEO Andy Jassy’s 2017 re:Invent conference keynote illustrates how strategic these parts of the cloud platform stack are to Amazon.

Highlights

  • This note outlines the major announcements to Amazon's managed database and big data analytics platforms made at the re:Invent 2017 conference.

Features and Benefits

  • Compares features and maturity of Amazon Aurora PostgreSQL with the more mature MySQL platform offering.
  • Analyzes the importance of multimaster and global replication capabilities that are coming to Amazon Aurora and DynamoDB platforms.
  • Evaluates Amazon's new Neptune graph database offering.
  • Evaluates how Amazon is making S3 cloud storage and Glacier archive storage more accessible to ad hoc and analytic query.
  • Evaluates the latest video-streaming addition to Amazon's Kinesis real-time streaming service.

Key questions answered

  • What are the core themes of Amazon's 2017 database and big data platform announcements?
  • How important are global multimaster and replication capabilities to Amazon's data platforms?

Table of contents

Ovum view

  • Summary
  • Getting serious with Aurora
  • Going global with DynamoDB
  • Getting graphic
  • Connecting storage and archive
  • Dissecting video streams in Kinesis

Appendix

  • Further reading
  • Author

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