Amazon Redshift powers data-driven selections for tens of 1000’s of consumers daily with a completely managed, AI-powered cloud knowledge warehouse, delivering the very best price-performance to your analytics workloads. Prospects use Amazon Redshift as a key element of their knowledge structure to drive use circumstances 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 via December 1, showcased the developments of Amazon Redshift that can assist you additional speed up your journey in direction of modernizing your cloud analytics environments. To be taught extra in regards to the newest and best developments and the way clients are powering data-driven decision-making utilizing Amazon Redshift, watch the re:Invent classes out there on demand listed on this publish.
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 are serving to AWS clients obtain their objectives quicker, mine untapped potential, and create a greater future. Be taught extra in regards to the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.
Swami Sivasubramanian, Vice President of AWS Knowledge and Machine Studying
Watch Swami Sivasubramanian, Vice President of Knowledge and AI at AWS, to find how you need to use your organization knowledge to construct differentiated generative AI purposes 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 more in-depth take a look at how scaling for knowledge warehousing works in AWS with the most recent introduction of AI pushed scaling and optimizations in Amazon Redshift Serverless to allow higher price-performance to your workloads.
Innovation Talks
Knowledge drives transformation: Knowledge foundations with AWS analytics with G2 Krishnamoorthy, Vice President of AWS Analytics
G2’s session discusses methods for embedding analytics into your purposes and concepts for constructing an information basis that helps what you are promoting initiatives. With new capabilities for self-service and easy 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 be taught in regards to the latest improvements inside Amazon Redshift—the petabyte-scale AWS Cloud knowledge warehousing resolution. 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. Find out about Amazon Redshift’s latest performance to extend reliability and velocity to insights via 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 clients as they share their journeys transferring to a contemporary cloud knowledge warehouse and analytics with Amazon Redshift. Be taught finest practices for constructing highly effective analytics and ML purposes and working at scale whereas conserving 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, find out how 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 unstable workloads.
ANT325 | Amazon Redshift: A decade of innovation in cloud knowledge warehousing
Exponential knowledge development has created distinctive challenges for knowledge practitioners to handle knowledge warehouses that may assist excessive efficiency workloads at scale inside value constraints. Amazon Redshift has been consistently innovating during the last decade to present you a contemporary, massively parallel processing cloud knowledge warehouse that delivers the very best price-performance, ease of use, scalability, and reliability. On this session, study Amazon Redshift’s technical improvements together with serverless, AI/ML-powered autonomics, and zero-ETL knowledge integrations. Uncover how you need to use Amazon Redshift to construct an information mesh structure to investigate your knowledge.
ANT326 | Arrange a zero-ETL-based analytics structure to your organizations
ETL (extract, remodel, and cargo knowledge) could be difficult, time-consuming, and expensive. AWS is constructing a zero-ETL future with capabilities like streaming ingestion into the info 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, find out how zero-ETL investments comparable to Amazon Aurora zero-ETL integration with Amazon Redshift drive direct integration between AWS knowledge providers to permit knowledge engineers to concentrate on creating worth from knowledge as an alternative of spending time and assets constructing pipelines.
ANT351 | [NEW LAUNCH] Multi-data warehouse writes via 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 dwell knowledge. With multi-data warehouse writes out there via 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 be taught how one can maintain your ETL jobs finishing predictably and on time, collaborate on dwell 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 business customary language for knowledge analytics, typically requires customers to spend so much of time understanding a company’s complicated metadata so as to write and perform complicated SQL queries for knowledge insights. Be a part of this session to be taught 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 learn how to use textual content prompts in plain English to construct efficient queries, together with complicated 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 measurement with out having to handle knowledge warehouse infrastructure. Redshift Serverless helps builders, knowledge scientists, and analysts work throughout numerous knowledge sources to construct studies, purposes, machine studying fashions, and extra. On this session, study 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 to 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. Knowledge finish customers are accustomed to seamless authentication to their AWS purposes, 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 Id Heart characteristic, referred to as trusted id propagation, together with supported AWS analytics providers. Additionally learn to audit consumer and group-based entry exercise throughout interconnected AWS managed purposes as a way to align higher with regulatory and sovereignty necessities.
What’s new with Amazon Redshift
Wish to be taught 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 study the entire Amazon Redshift launch bulletins made at 2023 AWS re:Invent
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Concerning the Writer
Mia Heard is a product advertising and marketing supervisor for Amazon Redshift, a completely managed, AI-powered cloud knowledge warehouse with the very best price-performance for analytic workloads.
