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The annual AWS re:Invent studying convention is an thrilling time full of latest 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 well-liked cloud knowledge warehouse. At re:Invent 2021, AWS introduced a number of new Amazon Redshift options that deliver simple analytics for everybody whereas persevering with to extend efficiency and allow you to break by way of knowledge silos to investigate all the information in your knowledge warehouse. With re:Invent filled with info and new bulletins, it’s simple to overlook one of the best 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 impression 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 fashionable knowledge technique, which allows everybody within the group to seek out patterns in knowledge and mobilize their enterprise with knowledge with the suitable instruments for the suitable 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 advanced analytics with out touching infrastructure or managing capability in your functions. Watch Adam Selipsky’s keynote announcement of AWS Analytics companies with new serverless choices (00:52).
Amazon Redshift: Beneath the hood
This yr, VP of AWS Machine Studying Providers Swami Sivasubramanian expanded his keynote to incorporate your entire 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 turn out to be a best-in-class, petabyte-scale knowledge warehouse for tens of hundreds of shoppers. Sivasubramanian touched on options that allow Amazon Redshift to energy massive workloads with top-notch efficiency, together with RA3 situations, 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 setting to stipulate the worth of Amazon Redshift Serverless and Amazon QuickSight Q.
Reinvent what you are promoting for the long run with AWS Analytics
Rahul Pathak, VP of AWS Analytics Providers, talked intimately about how one can put your knowledge to work and rework your companies by way of end-to-end AWS Analytics companies that allow you to modernize, unify, and innovate. He talked about how prospects 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 search to make analytics simple for everybody with the introduction of the brand new Question Editor v2, Amazon Redshift Serverless, and knowledge sharing capabilities. Watch the session to realize 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 provides alongside the scale of simple 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 widespread AWS companies that will help you break by way of 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, staff up with our buyer Jobcase, represented by Senior Scientist Clay Martin, to indicate how easy-to-use ML will help your group think about new services or products, rework your buyer experiences, streamline what you are promoting operations, and enhance your decision-making. A safe, built-in platform that’s simple to make use of and helps nonproprietary knowledge codecs can enhance collaboration by way of 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, be taught from Yan Leshinsky, VP of Amazon Redshift, and Neeraja Rentachintala, Principal Product Supervisor for Amazon Redshift, on how Amazon Redshift Serverless robotically provisions knowledge warehouse capability and intelligently scales the underlying assets to ship persistently excessive efficiency and simplified operations for even essentially the most demanding and risky workloads.
Introduction to AWS Information Alternate 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 Alternate for Amazon Redshift, which lets you mix third-party knowledge discovered on AWS Information Alternate with your personal knowledge out of your Amazon Redshift cloud knowledge warehouse, requiring no ETL and accelerating time to worth. This gives a robust enhancement to the sturdy data-sharing capabilities in Amazon Redshift to share safe, dwell knowledge throughout Areas, accounts, and organizations. On this session, product managers Neeraja Rentachintala and Ryan Waldorf stroll by way of the worth of this integration and the best way to entry and analyze a supplier’s knowledge with knowledge suppliers, which allows 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 have been filled with prospects seeking to be taught extra about Amazon Redshift’s capabilities in ML with Redshift ML, concurrency scaling, and far more. These periods weren’t recorded.
Get began with Amazon Redshift
Study extra in regards to the newest and biggest of what Amazon Redshift provides you, and discover the next assets for extra details about new releases:
Concerning the Writer
Sunaina Abdul Salah leads product advertising and marketing for Amazon Redshift.
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