Amazon Redshift powers data-driven selections for tens of 1000’s of consumers on daily basis with a totally managed, AI-powered cloud information warehouse, delivering the most effective price-performance on your analytics workloads. Clients use Amazon Redshift as a key element of their information structure to drive use instances from typical dashboarding to self-service analytics, real-time analytics, machine studying (ML), information 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 will help you additional speed up your journey in the direction of modernizing your cloud analytics environments. To be taught extra in regards to the newest and best developments and the way prospects are powering data-driven decision-making utilizing Amazon Redshift, watch the re:Invent periods obtainable 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 information, infrastructure, and synthetic intelligence and machine studying which can be serving to AWS prospects obtain their objectives sooner, mine untapped potential, and create a greater future. Study extra in regards to 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 information to construct differentiated generative AI purposes and speed up productiveness for workers throughout your group. Study 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 companies. Get a more in-depth take a look at how scaling for information warehousing works in AWS with the newest introduction of AI pushed scaling and optimizations in Amazon Redshift Serverless to allow higher price-performance on 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 purposes and concepts for constructing a knowledge basis that helps your online business initiatives. With new capabilities for self-service and easy builder experiences, you may democratize information 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 information warehousing answer. Amazon Redshift empowers customers to extract highly effective insights by securely and cost-effectively analyzing information throughout information warehouses, operational databases, information lakes, third-party information 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 pace to insights by way of near-real-time information entry, ML, and extra—all with spectacular price-performance.
ANT322 | Modernize analytics by shifting your information warehouse to Amazon Redshift
Watch this session to listen to from AWS prospects as they share their journeys shifting to a contemporary cloud information warehouse and analytics with Amazon Redshift. Study greatest practices for constructing highly effective analytics and ML purposes and working at scale whereas holding prices low.
ANT211 | Powering self-service & close to real-time analytics with Amazon Redshift
To remain aggressive, permitting information residents throughout your group to see near-real-time analytics with out worrying about information infrastructure administration is essential for your online business. On this session, find out how your information customers can get to near-real-time insights on streaming information with Amazon Redshift and AWS streaming information companies. 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 essentially the most demanding and risky workloads.
ANT325 | Amazon Redshift: A decade of innovation in cloud information warehousing
Exponential information development has created distinctive challenges for information practitioners to handle information warehouses that may help excessive efficiency workloads at scale inside value constraints. Amazon Redshift has been continuously innovating during the last decade to present you a contemporary, massively parallel processing cloud information warehouse that delivers the most effective 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 information integrations. Uncover how you should use Amazon Redshift to construct a knowledge mesh structure to research your information.
ANT326 | Arrange a zero-ETL-based analytics structure on your organizations
ETL (extract, remodel, and cargo information) might be difficult, time-consuming, and expensive. AWS is constructing a zero-ETL future with capabilities like streaming ingestion into the information warehouse, federated querying, and connectors that entry information in place throughout databases, information lakes, and third-party information sources with out information motion. On this session, find out how zero-ETL investments similar to Amazon Aurora zero-ETL integration with Amazon Redshift drive direct integration between AWS information companies to permit information engineers to give attention to creating worth from information as an alternative of spending time and assets constructing pipelines.
ANT351 | [NEW LAUNCH] Multi-data warehouse writes by way of Amazon Redshift information sharing
Organizations need easy and safe methods for his or her groups to fulfill their ETL SLAs, optimize prices, and collaborate on stay information. With multi-data warehouse writes obtainable by way of Amazon Redshift information sharing, you may write to the identical databases with a number of warehouses on the similar time. Be a part of this session to be taught how one can hold your ETL jobs finishing predictably and on time, collaborate on stay information 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 customary language for information analytics, typically requires customers to spend so much of time understanding a corporation’s complicated metadata in an effort to write and perform complicated SQL queries for information 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 sooner with the brand new Amazon Q generative SQL functionality in Amazon Redshift Question Editor. This session demonstrates how this performance works and the right way 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 information warehouse infrastructure. Redshift Serverless helps builders, information scientists, and analysts work throughout numerous information sources to construct reviews, purposes, 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 adjustments 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 on your AWS analytics companies
As organizations undertake new AWS companies, finish customers want extra entry to information throughout a full vary of AWS analytics companies to extract worth and insights. Information finish customers are accustomed to seamless authentication to their AWS purposes, and cloud directors need extra granular, user-based entry management over their information. Be a part of this session to learn to simplify and enhance entry management utilizing a brand new AWS IAM Identification Heart function, often called trusted identification propagation, together with supported AWS analytics companies. Additionally learn to audit consumer and group-based entry exercise throughout interconnected AWS managed purposes in an effort to align higher with regulatory and sovereignty necessities.
What’s new with Amazon Redshift
Need to be taught extra about the newest options launched in Amazon Redshift? Confer with Amazon Redshift bulletins at AWS re:Invent 2023 to allow analytics on all of your information to find out about 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 totally managed, AI-powered cloud information warehouse with the most effective price-performance for analytic workloads.
