[ad_1]
AWS re:Invent is a studying convention hosted by Amazon Internet Providers (AWS) for the worldwide cloud computing group. We’re tremendous excited to hitch you on the tenth annual re:Invent to share the newest from AWS leaders and uncover extra methods to be taught and construct. Let’s have fun this milestone, which will probably be provided in particular person in Las Vegas (November 29–December 3) and nearly (November 29–December 10). The well being and security of our clients and companions stays our high precedence. Yow will discover extra info on the well being measures web page. For particulars in regards to the digital format, take a look at the digital part.
The AWS Analytics observe at re:Invent gives classes in numerous analytics disciplines delivered by AWS Analytics specialists and AWS clients. The classes range from intermediate (200) via skilled (400) ranges, share new AWS improvements, talk about thrilling buyer experiences, and supply you alternatives to discover ways to simply extract extra out of your information in probably the most cost-effective and performant method.
Keynotes
Adam Selipsky – CEO, Amazon Internet Providers – Keynote
Adam Selipsky, AWS CEO, takes the stage to share his insights and the newest information about AWS clients, merchandise, and companies together with Analytics companies bulletins
Swami Sivasubramanian – Vice President, Amazon Machine Studying – Keynote
Be part of Swami Sivasubramanian, Vice President, Amazon Machine Studying, on an exploration of what it takes to place information in motion with an finish to finish information technique together with the newest information on databases, analytics, and machine studying.
Management session
ANT214-L – Reinvent your corporation for the long run with AWS Analytics
The following wave of digital transformation will probably be data-driven, and organizations should reinvent themselves utilizing information to make selections shortly and achieve sooner and deeper insights to serve their clients. On this session, Rahul Pathak, VP of AWS Analytics, addresses the present state of analytics on AWS, specializing in the newest service improvements. Be taught how one can put your information to work with the perfect of each information lakes and purpose-built information shops. Additionally, uncover how AWS may help you construct new experiences and reimagine outdated processes with a contemporary information structure on AWS.
Breakout classes
re:Invent breakout classes are lecture-style and 1 hour lengthy. These classes are delivered by AWS specialists, clients, and companions, and sometimes embody 10–quarter-hour of Q&A on the finish. For our digital attendees, breakout classes will probably be made accessible on-demand within the week after re:Invent.
ANT215 – Introduction to AWS Knowledge Trade for Amazon Redshift
AWS Knowledge Trade for Amazon Redshift permits you to mix third-party information discovered on AWS Knowledge Trade with your individual information out of your Amazon Redshift cloud information warehouse, requiring no ETL and accelerating time to worth. AWS Knowledge Trade permits a corporation’s line of enterprise to instantly entry and analyze a supplier’s information as soon as entry has been granted, eliminating the necessity to rely upon IT groups to provision the required information. Knowledge suppliers can license entry to their Amazon Redshift cloud information warehouses or enable subscribers to obtain recordsdata from Amazon S3 with no heavy lifting.
ANT203 – What’s new in Amazon OpenSearch Service
Amazon OpenSearch Service (successor to Amazon Elasticsearch Service), is a completely managed service that makes it simple so that you can deploy, safe, and run OpenSearch and Apache 2.0-licensed Elasticsearch clusters cost-effectively at scale. The OpenSearch mission is a community-driven, open-source fork of Elasticsearch and Kibana. This session discusses buyer use instances, greatest practices, and newly launched options. As well as, it discusses how AWS has made the transfer to OpenSearch seamless and what to anticipate going ahead.
ANT201 – What’s new with Amazon Redshift
Be part of this session to listen to about necessary new options of Amazon Redshift. Be taught in regards to the architectural evolution of Amazon Redshift and the way it makes use of machine studying to create a self-optimizing information warehouse. Moreover, discover how Amazon Redshift integrates with different well-liked AWS companies.
ANT202 – What’s new with Amazon EMR
Amazon EMR simplifies working open-source information processing purposes similar to Apache Spark, Apache Hive, and Presto on AWS, enabling customers to run ETL, ML, real-time processing, information science, and low-latency SQL at petabyte scale. This session covers the newest on Amazon EMR and the way Amazon EMR runtimes present glorious efficiency to open-source variations of such engines with out breaking API compatibility. Uncover how Amazon EMR Studio and Amazon SageMaker Studio simplify constructing purposes and pipelines for information scientists and engineers. Discover ways to add help for transactions and real-time streams in information lakes with Apache Hudi and Apache Iceberg. See learn how to implement fine-grained entry management over information in Amazon S3.
ANT318 – Knowledge lakes: Simply construct, safe, and share information with AWS Lake Formation
Organizations are breaking down information silos and constructing petabyte-scale information lakes on AWS to democratize entry to 1000’s of end-users. On this session, find out about latest improvements in AWS Lake Formation that make it simple to construct, safe, and handle your information lakes. Hear how an AWS buyer constructed their information mesh structure utilizing Lake Formation to share information throughout their traces of enterprise and inform data-driven selections.
ANT303 – Democratizing information for self-service analytics and ML
Entry to all of your information for quick analytics at scale is foundational for 360-degree initiatives involving information engineers, database builders, information analysts, information scientists, BI professionals, and the road of enterprise. On this session, learn the way easy-to-use ML may help your group think about new services or products, rework your buyer experiences, streamline your corporation operations, and enhance your decision-making. A safe, built-in platform that’s simple to make use of and helps nonproprietary information codecs can enhance collaboration via information sharing and also can enhance buyer responsiveness. Learn the way AWS developer instruments, together with the Knowledge API, and native help for semi-structured information utilizing normal SQL instructions can enhance software program time to market.
ANT316 – How Coinbase makes use of Amazon MSK as an occasion retailer for purposes
On this session, learn the way specializing in safety, availability, and buyer obsession has translated into operational excellence and product improvements with Amazon MSK, a managed service for Apache Kafka. This session options cryptocurrency alternate firm Coinbase’s expertise managing streaming occasions and analyzing billions of every day cryptocurrency transactions with Amazon MSK. Dive into Coinbase’s occasion streaming structure to be taught the way it leverages Amazon MSK as an enterprise occasion bus to ingest and analyze an enormous scale of occasions from customers, purposes, databases, and cryptocurrency sources throughout merchandise.
ANT310 – How VMware makes use of Amazon Kinesis to maintain clients protected from cyberattacks
Streaming information with Amazon Kinesis Knowledge Streams is a simple and cost-effective strategy to seize information from tons of of 1000’s of sources and make it accessible for evaluation in milliseconds. VMware Carbon Black’s cloud-native clever menace detection system makes use of Kinesis Knowledge Streams and different AWS companies. Be part of this session to dive deep into how VMware Carbon Black, a frontrunner in cybersecurity, processes trillions of occasions per day to uncover regarding behavioral patterns and detect and forestall cybersecurity dangers. VMware Carbon Black shares classes realized whereas scaling its multi-tenant streaming information infrastructure and greatest practices for cost-effective information processing in actual time.
ANT317 – Serverless information integration with AWS Glue
Step one in an analytics or machine studying mission is to arrange your information to acquire high quality outcomes. AWS Glue is a serverless information integration service that makes information preparation less complicated, sooner, and cheaper. On this session, be taught in regards to the newest improvements in AWS Glue and listen to how an AWS buyer makes use of AWS Glue to allow self-service information preparation throughout their group.
ANT307 – What’s new with Amazon Athena
Amazon Athena is a extremely scalable analytics service that makes it simple to investigate information in Amazon S3 and different information shops. Athena is serverless, so there is no such thing as a infrastructure to handle, and also you pay just for the queries that you simply run. This session gives a deep dive into the service, buyer use instances, greatest practices, newly launched options, and what’s subsequent for Athena.
ANT401 – Deep dive: Accelerating Apache Spark with Amazon EMR
Working Apache Spark workloads on Amazon EMR is changing into sooner and less expensive. On this session, discover the options that Amazon EMR gives to enhance efficiency and scale back the price of working huge information analytics workloads. On this session, dive deep into the architectures and design patterns that organizations have employed when migrating their open-source analytics purposes to Amazon EMR, and discover options such because the performance-optimized Amazon EMR runtime for Apache Spark, Graviton2 occasion help, and extra.
Chalk talks
Chalk talks are extremely interactive classes with a small viewers. Consultants lead you thru issues and options on a digital whiteboard because the dialogue unfolds. Every begins with a brief lecture (10–quarter-hour) delivered by an AWS skilled, adopted by a Q&A session of 45–50 minutes with the viewers.
ANT322 – Amazon EMR on EKS
Is your group contemplating a transfer to Kubernetes and Amazon EKS and questioning learn how to run Apache Spark purposes on Amazon EKS? On this chalk speak, learn the way Amazon EMR on EKS simplifies working Spark purposes on Amazon EKS. Study the advantages of transferring to containerization and transferring to Amazon EKS. Additionally, dive into architectures and greatest practices and be taught from clients who’re utilizing Spark on Amazon EKS at 3,000 or extra nodes.
ANT308 – Constructing analytics at scale with Amazon Athena
Organizations need analytics options which are simple to arrange and preserve whereas delivering the highly effective analytics required to succeed with a contemporary information technique. This chalk speak covers how you need to use Amazon Athena to construct highly effective capabilities, like real-time fraud detection, and allow information scientists to construct and practice ML fashions throughout all your information. Learn the way Athena gives this functionality with no infrastructure so that you can handle and gives easy centralized governance and safety.
ANT320 – Constructing information lakes and sharing information with AWS Lake Formation
Constructing information lakes and sharing information throughout your group will be difficult. On this chalk speak, discover ways to use AWS Lake Formation to simplify constructing, securing, and managing your information lakes. Uncover greatest practices for reliably constructing your information lakes and sharing this information throughout your traces of enterprise and 1000’s of customers.
ANT301 – Concurrency and scalability methods with Amazon Redshift
Amazon Redshift offers a number of options that will help you ship constant efficiency, whilst workloads develop and range. Discover ways to use concurrency scaling, information sharing, and extra on their very own and collectively to handle your workloads. On this chalk speak, you have got the chance to ask Amazon Redshift service workforce specialists about your distinctive state of affairs.
ANT319 – Knowledge preparation: Constructing scalable ETL pipelines with AWS Glue
Do you have got questions on how AWS Glue works? Be part of this chalk speak to be taught extra about the perfect practices for constructing information integration pipelines at scale. Discover ways to use the totally different elements of AWS Glue to find, catalog, and put together your information for machine studying and analytics. Additionally be taught greatest practices for optimizing your Apache Spark scripts.
ANT306 – Modernize your log analytics resolution with Amazon OpenSearch Service
Amazon OpenSearch Service (successor to Amazon Elasticsearch Service) is a completely managed service that makes it simple so that you can deploy, safe, and run OpenSearch and Apache 2.0-licensed Elasticsearch clusters cost-effectively at scale. On this chalk speak, discover ways to ingest information into Amazon OpenSearch Service from Amazon ECS utilizing FireLens for logging and AWS Distro for OpenTelemetry for distributed tracing. Uncover learn how to leverage OpenSearch Dashboards to investigate your software well being and efficiency.
ANT302 – New use instances for Amazon Redshift
Amazon Redshift steady improvements present cloud information warehousing capabilities that ship worth efficiency management and ease of use with scale. Learn the way Amazon Redshift options, constructed on the reliability and efficiency this service is thought for as we speak, may help you empower builders with automated capabilities, scale back time to enterprise insights, or combine throughout information varieties, AWS, and third-party companies. Be part of this chalk speak to discover new options and be taught from the specialists about ways in which you need to use them.
ANT314 – Course of streaming information utilizing Amazon MSK & Amazon Kinesis Knowledge Analytics
As information streaming architectures evolve, it’s very important to constantly enhance your streaming information pipelines and reap the benefits of new options and updates to streaming companies. With absolutely managed Apache Kafka and Apache Flink companies, AWS makes it simple for builders to run streaming purposes with out managing infrastructure. On this chalk speak, discover ways to use Amazon MSK, Amazon Kinesis Knowledge Analytics for Apache Flink, and AWS Lambda to construct serverless streaming information pipelines. Uncover greatest practices for software operations and reliability, and see how AWS managed companies may help you keep away from potential challenges.
ANT321 – Arrange capital markets analytics, built-in along with your information, utilizing FinSpace
Are you a monetary companies agency similar to a hedge fund, promote aspect financial institution, or asset supervisor with quantitative monetary analysts utilizing Jupyter notebooks to carry out monetary evaluation similar to time sequence, portfolio, or danger analytics? Do your analysts require safe entry to information throughout your enterprise? Do your analysts want scalable Apache Spark to course of petabytes of knowledge similar to commerce and quote information? On this chalk speak, learn the way Amazon FinSpace offers a managed analysis pocket book surroundings with the safety controls you want and the flexibility to combine with information from inside programs and third-party information feeds.
ANT309 – Simplifying Amazon S3 analytics with Amazon Kinesis Knowledge Firehose
Be part of this chalk speak to learn the way Amazon Kinesis Knowledge Firehose allows you to reliably load your streaming information into information lakes, information warehouses, and analytics companies constructed on AWS, with AWS Companions, and utilizing open-source instruments. This speak features a demonstration showcasing how Kinesis Knowledge Firehose simply captures, transforms, and delivers streaming information to an information lake constructed on Amazon S3. Dive deep into decreasing the price of Amazon S3 analytics queries and simplifying Amazon S3 analytics workflows utilizing Kinesis Knowledge Firehose, Apache Parquet, and dynamic partitioning.
ANT315 – Utilizing Amazon Redshift to straight question third-party information on AWS
On this chalk speak, learn the way firms spanning a number of industries are utilizing AWS Knowledge Trade and Amazon Redshift to search out, subscribe to, and instantly entry and analyze third-party datasets with out having to arrange information ingestion pipelines.
ANT405 – Implementing information entry management on Amazon EMR
Organizations usually wish to implement fine-grained information entry controls throughout information lakes all through an organization. On this chalk speak, find out about what these controls are and how one can you implement them when utilizing Apache Spark, Presto, and Hive on Amazon EMR. Uncover numerous methods of authenticating customers and the way every of those authentication mechanisms influence authorization insurance policies. Lastly, evaluation the usage of IAM roles, AWS Lake Formation, and Apache Ranger as instruments to implement fine-grained information entry controls, and be taught when it is best to use which. This chalk speak covers the fundamental instruments required to implement fine-grained authorization and learn how to use them.
ANT402 – Sizing Amazon OpenSearch Service domains
Whether or not you’re looking your product catalog or storing your logs for infrastructure monitoring, software efficiency monitoring, or observability, Amazon OpenSearch Service is the perfect software. Its distributed search engine scales to help high-volume ingest and question charges. The way you scale impacts the efficiency of your workload and your value working that workload, so it’s necessary to get it proper. How do you discover your method via all the configuration choices to create an optimum cluster? Come to this chalk speak along with your workload description—supply information, velocity, question varieties, and amount—and we’ll show you how to get sized proper.
Builders’ classes
Builders’ classes are small group classes led by an AWS skilled who demonstrates and builds an answer on AWS. Every builders’ session is an interactive, hour-long engagement. It begins with a brief rationalization adopted by a sensible walkthrough of the demonstration. When the demonstration is full, be happy to make use of the shared artifacts to construct by yourself.
ANT311 – Construct an information mesh with AWS Lake Formation and AWS Glue
On this builders’ session, discover ways to construct an information mesh design sample utilizing AWS Glue and AWS Lake Formation that helps a proliferation of knowledge producers and information customers with constant, centralized governance. The design method facilitates greatest practices for constructing scalable information platforms, ubiquitous information sharing, and centralized governance, and permits self-service analytics on AWS.
ANT312 – Constructing a safe, fashionable information structure with AWS analytics
On this builders’ session, discover ways to construct a safe fashionable information structure to mix numerous disparate information sources utilizing AWS Lake Formation, Amazon AppFlow, AWS Database Migration Service (AWS DMS), and AWS Glue. Acquire an understanding of key structure tenets for ingestion patterns, design components for securely storing information, learn how to apply granular safety insurance policies, information cataloging, and transformation for consumption.
ANT313 – Safety necessities with Amazon MSK
Organizations have distinctive safety and compliance mandates. A well-informed understanding of authentication options is crucial to creating the fitting selection for a corporation’s safety posture. Amazon MSK offers a number of authentication choices to regulate entry to Apache Kafka clusters. On this builders’ session, discover the accessible Amazon MSK authentication mechanisms, trade greatest practices, and suggestions for working safe Amazon MSK clusters.
Workshops
Workshops are 2-hour interactive studying classes the place you’re employed in small group groups to resolve issues utilizing AWS companies. Every workshop begins with a brief lecture (10–quarter-hour) by the principle speaker, and the remainder of the time is spent working as a gaggle. Come ready along with your laptop computer and a willingness to be taught!
ANT205- Create and practice ML fashions with ease utilizing Amazon Redshift ML
Amazon Redshift is probably the most extensively deployed information warehouse and is the cornerstone of AWS information lake technique. Expertise how shortly you may construct your information warehouse with Amazon Redshift and achieve insights utilizing the built-in SQL question editor. On this workshop, information analysts and information scientists can simply practice machine studying (ML) fashions utilizing SQL with Amazon Redshift ML, with zero information motion required. Knowledge engineers can learn the way the information API simplifies entry and permits you to simply combine purposes with Amazon Redshift and construct event-driven purposes programs.
ANT204 – Dive into Amazon OpenSearch Service
OpenSearch is an Apache 2.0-licensed software that gives you with wealthy, related search outcomes to your information. Paired with OpenSearch Dashboards, you may analyze and visualize your log information. On this workshop, uncover how Amazon OpenSearch Service allows you to focus in your search or monitoring downside and never fear about managing your infrastructure. Discover the console and deploy an OpenSearch Service area in Amazon VPC, use OpenSearch search APIs, and work with OpenSearch Dashboards to construct out visualizations. Come see how Amazon OpenSearch Service may help you clear up your search and analytics wants.
ANT305 – Knowledge science and DataOps workflows with Amazon EMR Studio
Have you ever ever felt that constructing information science purposes, information engineering pipelines, or machine studying fashions was arduous with Apache Spark on Amazon EMR? Be part of this workshop to learn the way Amazon EMR Studio makes it easy to do these items. The workshop features a walkthrough of a few examples with pattern information so you may see how collaboration works with Amazon EMR Studio.
ANT404 – Occasion detection utilizing Amazon MSK and Amazon Kinesis Knowledge Analytics
On this workshop, you tackle the position of an appearing know-how supervisor for a Las Vegas on line casino. Your task is to create a stream processing software that identifies clients getting into your on line casino who’ve gambled closely previously after which sends you a textual content message when huge spenders sit down at a playing desk. To do that, use Amazon MSK to seize occasions, Amazon Kinesis Knowledge Analytics Studio to detect occasions of curiosity, and AWS Lambda with Amazon SNS to ship you an electronic mail for any occasions.
ANT403 – Powering observability with Amazon OpenSearch Service
Amazon OpenSearch Service’s Hint Analytics performance permits you to transcend easy monitoring to know not simply what occasions are occurring, however why they’re occurring. On this workshop, discover ways to instrument, gather, and analyze metrics, traces, and log information all the way in which from person entrance ends to service backends and all the things in between. Put this along with Amazon OpenSearch Service, AWS Distro for OpenTelemetry, and Knowledge Prepper.
AWS Analytics Kiosk
Be part of us on the AWS Analytics Kiosk within the AWS Village on the Expo. Dive deep into AWS Analytics with AWS subject material specialists, see the newest demos, ask questions, or simply drop by to talk along with your friends.
AWS Analytics Meet-and-Greet Cocktail Hour
Date: Tuesday, November 30, 8:00 PM – 9:00 PM PST
Location: Canaletto Ristorante Veneto (The Venetian), Las Vegas, NV
Socialize with the AWS Analytics technical group. Be part of us and community over hors d’oeuvres and drinks with AWS leaders and specialists.
Wanting ahead to seeing you there!
In regards to the Authors
Taz Sayed is the world-wide Analytics Tech Chief at AWS. He enjoys participating with the broader information analytics group, and designing well-architected options for AWS clients.
Navnit Shukla is an Analytics Specialist Answer Architect with AWS. He’s obsessed with serving to clients uncover insights from their information. He has been constructing options to assist organizations make data-driven selections.
[ad_2]
