HomeBig DataAmazon Redshift at AWS re:Invent 2021 recap

Amazon Redshift at AWS re:Invent 2021 recap


The annual AWS re:Invent studying convention is an thrilling time full of recent product and program launches. On the first re:Invent convention in 2012, AWS introduced Amazon Redshift. Since then, tens of hundreds of shoppers have began utilizing Amazon Redshift as their most popular cloud knowledge warehouse. At re:Invent 2021, AWS introduced a number of new Amazon Redshift options that deliver straightforward analytics for everybody whereas persevering with to extend efficiency and make it easier to break via knowledge silos to research all the info in your knowledge warehouse. With re:Invent full of data and new bulletins, it’s straightforward to overlook the most effective of the updates in Amazon Redshift. On this publish, we summarize these bulletins, together with assets so that you can get extra particulars.

AWS takes analytics serverless

Adam Selipsky took the re:Invent keynote stage on November 29, 2021, for the primary time as AWS CEO, saying a string of improvements alongside the theme of pathfinders. He shared the story about Florence Nightingale, a pathfinder and knowledge geek who had a ardour for statistics, who collected and analyzed knowledge on sanitation influence on mortality charges to mobilize the military on the time to approve new hygiene requirements and restructure well being efforts. The theme set the stage for the AWS trendy knowledge technique, which permits everybody within the group to search out patterns in knowledge and mobilize their enterprise with knowledge with the appropriate instruments for the appropriate job. Selipsky’s announcement of serverless choices for 4 AWS Analytics companies, together with Amazon Redshift, emphasised the rising want to have the ability to run complicated analytics with out touching infrastructure or managing capability in your purposes. Watch Adam Selipsky’s keynote announcement of AWS Analytics companies with new serverless choices (00:52).

Amazon Redshift: Underneath the hood

This yr, VP of AWS Machine Studying Providers Swami Sivasubramanian expanded his keynote to incorporate the whole knowledge and machine studying (ML) journey for all workloads and knowledge varieties. Along with mentioning the brand new serverless choice announcement for Amazon Redshift in preview, he dove underneath the hood of Amazon Redshift to discover core improvements since its inception in 2012 that drove the service to develop into a best-in-class, petabyte-scale knowledge warehouse for tens of hundreds of shoppers. Sivasubramanian touched on options that allow Amazon Redshift to energy giant workloads with top-notch efficiency, together with RA3 cases, AQUA (Superior Question Accelerator), materialized views, quick question acceleration, and computerized workload administration. He additionally elaborated on how Amazon Redshift ML makes use of SQL to make ML predictions out of your knowledge warehouse. Neeraja Rentachintala then took you thru a demo set in a gaming surroundings to stipulate the worth of Amazon Redshift Serverless and Amazon QuickSight Q.

Reinvent your corporation for the longer term with AWS Analytics

Rahul Pathak, VP of AWS Analytics Providers, talked intimately about how one can put your knowledge to work and remodel your companies via end-to-end AWS Analytics companies that make it easier to modernize, unify, and innovate. He talked about how clients like Zynga, Schneider Electrical, Magellan Rx, Jobcase, and Nasdaq are benefitting from Amazon Redshift with improvements in efficiency as knowledge volumes develop. He elaborated on how Amazon Redshift helps you analyze all of your knowledge with AWS service integration, and touched upon the hunt to make analytics straightforward for everybody with the introduction of the brand new Question Editor v2, Amazon Redshift Serverless, and knowledge sharing capabilities. Watch the session to achieve a deeper understanding of AWS Analytics companies.

What’s new with Amazon Redshift, that includes Schneider Electrical

This session is a must-watch for each present and new Amazon Redshift buyer to get a full understanding of the breadth and depth of options that Amazon Redshift presents alongside the size of straightforward analytics for everybody, analyze all of your knowledge, and efficiency at scale. Eugene Kawamoto, Director of Amazon Redshift Product, goes into element about all the brand new launches in 2021, tracing the architectural evolution of Amazon Redshift to the brand new serverless choice. He explores how Amazon Redshift integrates with different fashionable AWS companies that will help you break via knowledge silos, analyze all of your knowledge, and derive worth from this knowledge.

Democratizing knowledge for self-service analytics and ML

Entry to all of your knowledge for quick analytics at scale is foundational for 360-degree initiatives involving knowledge engineers, database builders, knowledge analysts, knowledge scientists, enterprise intelligence professionals, and the road of enterprise. On this session, Greg Khairallah and Shruti Worlikar, leaders within the AWS Analytics GTM group, group up with our buyer Jobcase, represented by Senior Scientist Clay Martin, to indicate how easy-to-use ML can assist your group think about new services or products, remodel your buyer experiences, streamline your corporation operations, and enhance your decision-making. A safe, built-in platform that’s straightforward to make use of and helps nonproprietary knowledge codecs can enhance collaboration via knowledge sharing and likewise enhance buyer responsiveness.

Introducing Amazon Redshift Serverless

Following the bulletins within the keynotes, this session takes you thru the brand new serverless choice on Amazon Redshift, which lets you get began in seconds and run knowledge warehousing and analytics workloads at scale with out worrying about knowledge warehouse administration. On this session, study from Yan Leshinsky, VP of Amazon Redshift, and Neeraja Rentachintala, Principal Product Supervisor for Amazon Redshift, on how Amazon Redshift Serverless routinely provisions knowledge warehouse capability and intelligently scales the underlying assets to ship constantly excessive efficiency and simplified operations for even probably the most demanding and unstable workloads.

Introduction to AWS Information Trade for Amazon Redshift

We’ve talked about Amazon Redshift Serverless a number of instances, however there have been some thrilling bulletins from the service main into re:Invent. We launched AWS Information Trade for Amazon Redshift, which lets you mix third-party knowledge discovered on AWS Information Trade with your personal knowledge out of your Amazon Redshift cloud knowledge warehouse, requiring no ETL and accelerating time to worth. This supplies a robust enhancement to the robust data-sharing capabilities in Amazon Redshift to share safe, stay knowledge throughout Areas, accounts, and organizations. On this session, product managers Neeraja Rentachintala and Ryan Waldorf stroll via the worth of this integration and tips on how to entry and analyze a supplier’s knowledge with knowledge suppliers, which permits licensing this entry to their Amazon Redshift cloud knowledge warehouses. Alex Bohl, Director of Information Innovation from Mathematica, joins them on this session to offer a real-world instance.

Further periods

Along with these periods, the hands-on-workshops and chalk talks had been full of clients seeking to study extra about Amazon Redshift’s capabilities in ML with Redshift ML, concurrency scaling, and way more. These periods weren’t recorded.

Get began with Amazon Redshift

Study extra concerning the newest and best of what Amazon Redshift presents you, and discover the next assets for extra details about new releases:


Concerning the Creator

Sunaina Abdul Salah leads product advertising and marketing for Amazon Redshift.

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