Amazon Redshift powers data-driven selections for tens of 1000’s of consumers every single day with a totally managed, AI-powered cloud knowledge warehouse, delivering the perfect price-performance in your analytics workloads. Clients use Amazon Redshift as a key element of their knowledge structure to drive use instances from typical dashboarding to self-service analytics, real-time analytics, machine studying (ML), knowledge sharing and monetization, and extra.
This 12 months’s AWS re:Invent convention, held in Las Vegas from November 27 by means of December 1, showcased the developments of Amazon Redshift that will help you additional speed up your journey in direction of modernizing your cloud analytics environments. To study extra concerning the newest and biggest developments and the way prospects are powering data-driven decision-making utilizing Amazon Redshift, watch the re:Invent classes obtainable on demand listed on this submit.
Keynotes
Adam Selipsky, Chief Government Officer of Amazon Net Providers
Watch Adam Selipsky, CEO of Amazon Net Providers, as he shares his perspective on cloud transformation. He highlights improvements in knowledge, infrastructure, and synthetic intelligence and machine studying which might be serving to AWS prospects obtain their targets quicker, mine untapped potential, and create a greater future. Be taught extra concerning the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.
Swami Sivasubramanian, Vice President of AWS Information and Machine Studying
Watch Swami Sivasubramanian, Vice President of Information and AI at AWS, to find how you should use your organization knowledge to construct differentiated generative AI functions and speed up productiveness for workers throughout your group. Be taught extra about these new generative AI options to extend productiveness together with Amazon Q generative SQL in Amazon Redshift.
Peter DeSantis, Senior Vice President of AWS Utility Computing
Watch Peter DeSantis, Senior Vice President of AWS Utility Computing, as he deep dives into the engineering that powers AWS providers. Get a better have a look at how scaling for knowledge warehousing works in AWS with the newest introduction of AI pushed scaling and optimizations in Amazon Redshift Serverless to allow higher price-performance in your workloads.
Innovation Talks
Information drives transformation: Information foundations with AWS analytics with G2 Krishnamoorthy, Vice President of AWS Analytics
G2’s session discusses methods for embedding analytics into your functions and concepts for constructing a knowledge basis that helps what you are promoting initiatives. With new capabilities for self-service and simple builder experiences, you’ll be able to democratize knowledge entry for line of enterprise customers, analysts, scientists, and engineers. Hear additionally from Adidas, GlobalFoundries, and College of California, Irvine.
Periods
ANT203 | What’s new in Amazon Redshift
Watch this session to study concerning the latest improvements inside Amazon Redshift—the petabyte-scale AWS Cloud knowledge warehousing answer. Amazon Redshift empowers customers to extract highly effective insights by securely and cost-effectively analyzing knowledge throughout knowledge warehouses, operational databases, knowledge lakes, third-party knowledge shops, and streaming sources utilizing zero-ETL approaches. Simply construct and prepare machine studying fashions utilizing SQL inside Amazon Redshift to generate predictive analytics and propel data-driven decision-making. Study Amazon Redshift’s latest performance to extend reliability and velocity to insights by means of near-real-time knowledge entry, ML, and extra—all with spectacular price-performance.
ANT322 | Modernize analytics by transferring your knowledge warehouse to Amazon Redshift
Watch this session to listen to from AWS prospects as they share their journeys transferring to a contemporary cloud knowledge warehouse and analytics with Amazon Redshift. Be taught greatest practices for constructing highly effective analytics and ML functions and working at scale whereas preserving prices low.
ANT211 | Powering self-service & close to real-time analytics with Amazon Redshift
To remain aggressive, permitting knowledge residents throughout your group to see near-real-time analytics with out worrying about knowledge infrastructure administration is essential for what you are promoting. On this session, learn the way your knowledge customers can get to near-real-time insights on streaming knowledge with Amazon Redshift and AWS streaming knowledge providers. Discover an answer utilizing versatile querying instruments and a serverless structure, which brings clever automation and scaling capabilities, and maintains persistently excessive efficiency for even probably the most demanding and risky workloads.
ANT325 | Amazon Redshift: A decade of innovation in cloud knowledge warehousing
Exponential knowledge progress has created distinctive challenges for knowledge practitioners to handle knowledge warehouses that may help excessive efficiency workloads at scale inside value constraints. Amazon Redshift has been continuously innovating during the last decade to provide you a contemporary, massively parallel processing cloud knowledge warehouse that delivers the perfect price-performance, ease of use, scalability, and reliability. On this session, find out about Amazon Redshift’s technical improvements together with serverless, AI/ML-powered autonomics, and zero-ETL knowledge integrations. Uncover how you should use Amazon Redshift to construct a knowledge mesh structure to research your knowledge.
ANT326 | Arrange a zero-ETL-based analytics structure in your organizations
ETL (extract, rework, and cargo knowledge) might be difficult, time-consuming, and dear. AWS is constructing a zero-ETL future with capabilities like streaming ingestion into the information warehouse, federated querying, and connectors that entry knowledge in place throughout databases, knowledge lakes, and third-party knowledge sources with out knowledge motion. On this session, learn the way zero-ETL investments equivalent to Amazon Aurora zero-ETL integration with Amazon Redshift drive direct integration between AWS knowledge providers to permit knowledge engineers to give attention to creating worth from knowledge as an alternative of spending time and sources constructing pipelines.
ANT351 | [NEW LAUNCH] Multi-data warehouse writes by means of Amazon Redshift knowledge sharing
Organizations need easy and safe methods for his or her groups to satisfy their ETL SLAs, optimize prices, and collaborate on stay knowledge. With multi-data warehouse writes obtainable by means of Amazon Redshift knowledge sharing, you’ll be able to write to the identical databases with a number of warehouses on the identical time. Be a part of this session to study how one can maintain your ETL jobs finishing predictably and on time, collaborate on stay knowledge with a number of groups, and higher optimize your prices with this newly launched functionality.
ANT 352 | [NEW LAUNCH] Amazon Q generative SQL in Amazon Redshift Question Editor
SQL, the trade commonplace language for knowledge analytics, usually requires customers to spend so much of time understanding a company’s advanced metadata with the intention to write and perform advanced SQL queries for knowledge insights. Be a part of this session to study how one can assist SQL customers of all ability ranges inside your group derive insights quicker with the brand new Amazon Q generative SQL functionality in Amazon Redshift Question Editor. This session demonstrates how this performance works and tips on how to use textual content prompts in plain English to construct efficient queries, together with advanced multi-table be part of or nested queries.
ANT 354 | [NEW LAUNCH] AI-powered scaling and optimization for Amazon Redshift Serverless
Amazon Redshift Serverless makes it simpler to run analytics workloads of any dimension with out having to handle knowledge warehouse infrastructure. Redshift Serverless helps builders, knowledge scientists, and analysts work throughout numerous knowledge sources to construct studies, functions, machine studying fashions, and extra. On this session, find out about Redshift Serverless new AI-driven scaling and optimization performance. This new performance proactively adapts to workload modifications and applies tailor-made efficiency optimizations by intelligently predicting question patterns and utilizing machine studying, growing constant price-performance.
SEC245 | Simplify and enhance entry management in your AWS analytics providers
As organizations undertake new AWS providers, finish customers want extra entry to knowledge throughout a full vary of AWS analytics providers to extract worth and insights. Information finish customers are accustomed to seamless authentication to their AWS functions, and cloud directors need extra granular, user-based entry management over their knowledge. Be a part of this session to learn to simplify and enhance entry management utilizing a brand new AWS IAM Identification Middle function, generally known as trusted id propagation, together with supported AWS analytics providers. Additionally learn to audit consumer and group-based entry exercise throughout interconnected AWS managed functions so to align higher with regulatory and sovereignty necessities.
What’s new with Amazon Redshift
Need to study extra about the latest options launched in Amazon Redshift? Consult with Amazon Redshift bulletins at AWS re:Invent 2023 to allow analytics on all of your knowledge to find out about all the Amazon Redshift launch bulletins made at 2023 AWS re:Invent
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Concerning the Writer
Mia Heard is a product advertising supervisor for Amazon Redshift, a totally managed, AI-powered cloud knowledge warehouse with the perfect price-performance for analytic workloads.