I\u2019ve just got back from my first AWS re:Invent, it was exciting and busy and I learned a whole lot. This post is about the key things I learned about new releases, and other companies experiences.<\/p>\n\n\n\n

If you’d like to read about the experience of being there, getting through the crowds and surviving, check out My 2019 re:Invent: From A to Z<\/a><\/p>\n\n\n\n

The Gameplan<\/h2>\n\n\n\n

My strategy when approaching the re:Invent schedule was to prioritise the hands-on and keep sessions and keynotes for later. My favourite experiences at re:Invent were the workshops. Getting to talk to the engineers who are working on Redshift and Aurora<\/a> was so valuable.<\/p>\n\n\n\n

I’ve been tackling sessions I either got to in an overflow room or put in my playlist for later. These are the best of the best of data<\/a>, analytics<\/a> and leadership<\/a> from re:Invent 2019.<\/p>\n\n\n\n

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New Athena Functionality<\/a>
The Lakehouse<\/a>
Enhanced Redshift<\/a>
Design for Infinite<\/a>
Resilient Services<\/a>
Biases in AI and ML<\/a>
Streaming Data for Fraud Detection<\/a>
Innovation at Speed<\/a>
Streaming Data in One Year<\/a>
Amazon and Oracle<\/a><\/strong><\/p><\/blockquote>\n\n\n\n

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New Athena Functionality<\/h2>\n\n\n\n

ANT307 – Amazon Athena Deep dive<\/h4>\n\n\n\n

Technically announced before the conference, this “pre:Invent” announcement changes the game for Athena users.<\/p>\n\n\n\n

With Athena Federated Query, users can run SQL queries across data stored in relational, non-relational, object, and custom data sources. Prebuilt connectors execute in Lambda and write the result to S3<\/a> for further analysis.<\/p>\n\n\n\n

Read more:<\/h4>\n\n\n\n

• Slides<\/a><\/li>
• Video with sample code and walk through<\/a><\/li>
• Athena Documentation<\/a><\/li>
• Blog post announcement<\/a><\/li><\/ul>\n\n\n\n

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