Amazon Redshift powers data-driven choices for tens of hundreds of shoppers daily with a completely managed, AI-powered cloud knowledge warehouse, delivering one of the best price-performance in your analytics workloads. Clients use Amazon Redshift as a key part 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 yr’s AWS re:Invent convention, held in Las Vegas from November 27 by way of 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 concerning the newest and best developments and the way prospects are powering data-driven decision-making utilizing Amazon Redshift, watch the re:Invent periods out there on demand listed on this put up.

Keynotes

Adam Selipsky, Chief Government Officer of Amazon Net Companies

Watch Adam Selipsky, CEO of Amazon Net Companies, 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 sooner, 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 Knowledge and Machine Studying

Watch Swami Sivasubramanian, Vice President of Knowledge and AI at AWS, to find how you should utilize 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 more in-depth take 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

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 functions and concepts for constructing a knowledge basis that helps your online business initiatives. With new capabilities for self-service and simple builder experiences, you possibly can 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 concerning 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 pace to insights by way of near-real-time knowledge entry, ML, and extra—all with spectacular price-performance.

ANT322 | Modernize analytics by shifting your knowledge warehouse to Amazon Redshift

Watch this session to listen to from AWS prospects as they share their journeys shifting to a contemporary cloud knowledge warehouse and analytics with Amazon Redshift. Be taught finest practices for constructing highly effective analytics and ML functions and working at scale whereas retaining 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 your online business. 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 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 over the past decade to present you a contemporary, massively parallel processing cloud knowledge warehouse that delivers one of the 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 should utilize 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, remodel, and cargo knowledge) will 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, learn the way zero-ETL investments similar 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 a substitute of spending time and sources constructing pipelines.

ANT351 | [NEW LAUNCH] Multi-data warehouse writes by way of Amazon Redshift knowledge sharing

Organizations need easy and safe methods for his or her groups to fulfill their ETL SLAs, optimize prices, and collaborate on stay knowledge. With multi-data warehouse writes out there by way of Amazon Redshift knowledge sharing, you possibly can write to the identical databases with a number of warehouses on the identical time. Be part of this session to be taught 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 normal language for knowledge analytics, typically requires customers to spend so much of time understanding a company’s advanced metadata so as to write and perform advanced SQL queries for knowledge insights. Be part of this session to be taught how one can assist SQL customers of all ability ranges inside your group derive insights sooner with the brand new Amazon Q generative SQL functionality in Amazon Redshift Question Editor. This session demonstrates how this performance works and use textual content prompts in plain English to construct efficient queries, together with advanced multi-table be a 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 varied knowledge sources to construct experiences, functions, 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 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. Knowledge 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 part of this session to discover ways to simplify and enhance entry management utilizing a brand new AWS IAM Id Heart characteristic, often called trusted identification propagation, together with supported AWS analytics providers. Additionally discover ways to audit consumer and group-based entry exercise throughout interconnected AWS managed functions to be able to align higher with regulatory and sovereignty necessities.

What’s new with Amazon Redshift

Need 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 all the Amazon Redshift launch bulletins made at 2023 AWS re:Invent

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In regards to the Creator

Mia Heard is a product advertising supervisor for Amazon Redshift, a completely managed, AI-powered cloud knowledge warehouse with one of the best price-performance for analytic workloads.