AWS re:Invent is kicking off this week and this year it's virtual.
Everyone can take part and tune into sessions, keynotes, and leadership sessions at a time that works for them. There will be tracks for data, analytics, and business intelligence this year so plenty for data enthusiasts to look forward to.
Usually there are guides published telling you to pack comfy shoes, stay hydrated, and plan a few breaks in your busy schedule. Most of that still applies this year but there will probably be fewer steps over your week.
I'm looking forward to getting comfy at home and tuning in for announcements on all things data with these sessions making it to the top of my list.
Enabling analytics at scale at Intuit
What’s new in Amazon RDS
Serverless analytics at Equinox Media
Data modeling with Amazon DynamoDB
How Disney uses fast data ubiquity to improve customer experience
What’s new with Amazon Redshift
How Redshift powers large-scale analytics for Amazon.com
New use cases for Amazon Redshift
Intuit’s migration from an on-premises data centre to an AWS data lake required creative solutions, both in technology and in culture. This session walks through Intuit’s implementation end to end, explaining how the company worked with AWS to tackle these challenges by leveraging a complex AWS analytics portfolio, including Amazon Athena, Amazon EMR, and AWS Glue.
In this session, see all the new capabilities launched for Amazon RDS across different engines and review the latest available features.
As COVID-19 spread, Equinox Media recognized the need to fast-track the launch of Variis, its online fitness streaming platform. Hear how Equinox Media leveraged a highly scalable, serverless data platform with services such as AWS Glue, Amazon Athena, and Amazon Kinesis to ramp up from beta to rollout in a matter of weeks.
Alex DeBrie is an AWS Data Hero, recognised for his work with DynamoDB, and author of The DynamoDB Book, a comprehensive guide to data modelling. In Part 1 of this two-part session, see how modelling with DynamoDB is different than a traditional relational database, and learn some foundational elements of data modelling with DynamoDB.
In this session, you will learn how Disney+ built real-time data-driven capabilities on a unified streaming platform. This platform ingests billions of events per hour in Amazon Kinesis Data Streams, processes and analyses that data in Amazon Kinesis Data Analytics for Apache Flink, and uses Amazon Kinesis Data Firehose to deliver data to destinations without servers or code.
This session covers the architectural evolution of Amazon Redshift and how it uses machine learning to create a self-optimising data warehouse. Learn about recent performance, concurrency, elasticity, and manageability enhancements that deliver unmatched value to users.
Attend this session to hear how Amazon.com is using Amazon Redshift and how it upgraded to the new RA3 nodes with managed storage to keep up with exploding data growth.
Join this session to learn how Amazon Redshift enables new use cases and architectural patterns that make data widely available and meet business-critical SLAs while minimising complexity and cost.
There's plenty to look forward to at virtual re:Invent. Which sessions are on your list?