Save the date: AWS re:Invent 2023 is going on from November 27 to December 1 in Las Vegas, and you can’t miss it. re:Invent is a studying convention organized by AWS for the worldwide cloud computing neighborhood. It’s a fantastic alternative to come back along with cloud fanatics from all over the world to listen to in regards to the newest cloud trade improvements, meet with AWS consultants, have enjoyable, and construct connections.
Be part of us as we delve into the world of real-time streaming information at re:Invent 2023 and uncover how you should utilize real-time streaming information to construct new use circumstances, optimize present tasks and processes, and reimagine what’s attainable. In in the present day’s data-driven panorama, the standard of knowledge is the muse upon which the success of organizations and improvements stands. Excessive-quality information is not only about accuracy; it’s additionally about timeliness. To derive significant insights and make sure the optimum efficiency of machine studying (ML) and generative AI fashions, information must be ingested and processed in actual time. Actual-time information empowers these fashions to adapt and reply instantaneously to altering situations, making them not simply smarter but additionally extra sensible. With real-time streaming information, organizations can reimagine what’s attainable. From enabling predictive upkeep in manufacturing to delivering hyper-personalized content material within the media and leisure trade, and from real-time fraud detection in finance to precision agriculture in farming, the potential purposes are huge.
This submit will show you how to plan your re:Invent expertise by highlighting the important classes on real-time streaming information and past that you just shouldn’t miss. To attend these classes, remember to register for re:Invent and entry the session catalog. Register now!
Keynotes and Innovation Discuss classes you can’t miss!
Don’t miss your probability to listen to from a number of the main voices in AWS. Listed below are a few of our favourite keynotes and Innovation Discuss classes.
Adam Selipsky, Chief Govt Officer of Amazon Net Providers – Keynote
Tuesday, November 28 | 8:30 AM – 10:30 AM PST | The Venetian
Be part of 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 might be serving to AWS clients obtain their targets sooner, mine untapped potential, and create a greater future.
Swami Sivasubramanian, Vice President of AWS Information and AI– Keynote
Wednesday, November 29 | 8:30 AM – 10:30 AM PST | The Venetian
Be part of Swami Sivasubramanian, Vice President of Information and AI at AWS, to find how you should utilize your organization’s information to construct differentiated generative AI purposes and speed up productiveness for workers throughout your group. Additionally hear from buyer audio system with real-world examples of how they’ve used their information to help their generative AI use circumstances and create new experiences for his or her clients.
Placing your information to work with generative AI – Innovation Discuss
Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian
Be part of Mai-Lan Tomsen Bukovec, Vice President, Expertise at AWS to be taught how one can flip your information lake right into a enterprise benefit with generative AI. Discover methods for placing your proprietary datasets to work when constructing distinctive, differentiated generative AI options. Discover ways to make the most of your datasets utilizing Amazon SageMaker and Amazon Bedrock and fashionable frameworks like PyTorch with AWS compute, storage, and analytics. Hear greatest practices for utilizing unstructured (video, picture, PDF), semi-structured (Parquet), and table-formatted (Iceberg) information for coaching, fine-tuning, checkpointing, and immediate engineering. Additionally hear totally different architectural patterns that clients use in the present day to harness their enterprise information for personalized generative AI options.
Information drives transformation: Information foundations with AWS analytics – Innovation Discuss
Thursday, November 30 | 2:00 – 3:00 PM PST | The Venetian
Be part of G2 Krishnamoorthy, Vice President of AWS Analytics, to debate methods for embedding analytics into your purposes and concepts for constructing an information basis that helps your enterprise initiatives. With new capabilities for self-service and less complicated builder experiences, you’ll be able to democratize information entry for line-of-business customers, analysts, scientists, and engineers. Hear inspiring tales from adidas, GlobalFoundries, and the College of California, Irvine.
Breakout classes
Deepen your studying with re:Invent breakout classes. re:Invent breakout classes are lecture-style and 1 hour lengthy. These classes happen throughout the re:Invent campus and canopy all subjects in any respect ranges. The next are a few of our favorites:
- Speed up innovation with real-time information: Be part of Mindy Ferguson, Vice President of Streaming and Messaging at AWS, and Arvinth Ravi, Normal Supervisor of Amazon Kinesis Information Streams, on this session that highlights the significance of implementing ubiquitous real-time information methods to realize a aggressive edge. Uncover the newest launches in AWS streaming information providers, achieve insights into real-world purposes, and discover how you should utilize them to resolve quite a lot of use circumstances to make fast, real-time selections to optimize prices, improve buyer engagement, and drive development. Reserve your seat now!
- How Rivian builds real-time analytics from electrical automobiles: Find out how Rivian’s automobile information platform staff makes use of Amazon MSK and different AWS analytics providers to construct a safe, scalable, cost-effective, and extensible information platform that powers totally different groups throughout the group. Reserve your seat now!
- Serverless information streaming: Amazon Kinesis Information Streams and AWS Lambda: Discover the intricacies of making scalable, production-ready information streaming architectures utilizing Amazon Kinesis Information Streams and AWS Lambda. Delve into ideas and greatest practices important to navigating the challenges and pitfalls inherent to distributed techniques that come up alongside the best way, and observe how AWS providers work and work together. Reserve your seat now!
- Break down information silos utilizing real-time synchronization with Flink CDC: Find out how, through the use of Flink CDC on AWS, you’ll be able to simplify real-time synchronization and ingestion throughout transactional databases and eventually break down information silos. Reserve your seat now!
- Scaling serverless information processing with Amazon Kinesis and Apache Kafka: Discover easy methods to construct scalable information processing purposes utilizing AWS Lambda. Study sensible insights into integrating Lambda with Amazon Kinesis and Apache Kafka utilizing their event-driven fashions for real-time information streaming and processing. Design serverless information processing pipelines and extract beneficial insights from real-time information streams. Reserve your seat now!
Chalk talks
Chalk talks are a extremely interactive content material format with a small viewers. Every begins with a brief lecture delivered by an AWS skilled adopted by a Q&A session with the viewers.
- Stream information and construct transactional lakes with AWS Glue streaming: Discover ways to create a low-code streaming pipeline with AWS Glue and Amazon Kinesis to load, clear, and rework gross sales information, and make it out there for machine studying. Reserve your seat now!
- Migrating self-managed Apache Flink to totally managed on AWS: Overview key particulars to remember when migrating self-managed Apache Flink purposes to Amazon Managed Service for Apache Flink. Discover how utilizing cloud-based providers with the precise patterns can cut back operational overhead. Hear about greatest practices that may assist with migration whereas nonetheless sustaining prices, scale, and efficiency. Reserve your seat now!
- The best way to migrate your Apache Kafka workloads to Amazon MSK: Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming information service that manages Apache Kafka infrastructure and operations. Study the advantages of migrating to Amazon MSK and easy methods to raise and shift present clusters utilizing MirrorMaker 2.0 (MM2). Take a deep dive into the MM2 and Kafka Join structure, and discover the widespread bottlenecks and challenges of high-throughput information streams. Reserve your seat now!
- Accelerating worth from information: Migrate from batch to stream processing: Discover the aggressive benefits of transitioning from conventional batch processing to stream processing. Take a look at key ideas and architectural patterns of streaming to handle potential challenges and hiccups alongside this migration journey. By an instance use case, achieve insights into easy methods to efficiently transition from batch to real-time information processing utilizing AWS streaming information providers. Reserve your seat now!
- Quick-track streaming ETL with AWS streaming information providers: Discover ways to construct streaming information pipelines throughout information lakes and information warehouses. Study greatest practices for efficiency, scale, and value management in Amazon Kinesis Information Streams, Amazon MSK, Amazon Redshift streaming ingestion, and AWS Glue streaming. Reserve your seat now!
- Superior real-time analytics and ML in your information warehouse: Find out how enterprise clients are rearchitecting their information environments to lean extra closely on streaming analytics to course of throughput of thousands and thousands of data per second. We are going to present you easy methods to implement an ELT strategy that makes use of Amazon Redshift’s native integration with streaming information providers and Amazon Redshift ML to construct near-real-time ML predictions in SQL for higher decision-making. Reserve your seat now!
- Constructing higher with Apache Kafka and Amazon EventBridge: Discover the convergence of event-driven architectures and real-time occasion streaming to fulfill fashionable enterprise necessities. Find out about Amazon EventBridge and Apache Kafka and achieve insights into their roles for facilitating real-time decision-making, elevated enterprise velocity, and operational autonomy. Reserve your seat now!
- Velocity up information predictions with real-time inference at scale: It’s essential to investigate, be taught, and make predictions out of your information in a well timed method as a result of the worth of knowledge diminishes over time. Dive into event-driven structure and see how you should utilize machine studying inference with streaming information to detect patterns and anomalies to comprehend a sooner path to selections out of your information. Reserve your seat now!
Code Discuss
Code Talks are 60-minute classes that target the precise code concerned in constructing an answer. You’ll be taught the “why” behind the answer and see it come to life—full with the inevitable errors. Your questions are welcome and inspired.
- Construct a Flink software on Amazon Managed Service for Apache Flink: Be part of this code discuss to develop and host a streaming and production-ready Apache Flink software on Amazon Managed Service for Apache Flink utilizing the DataStream and Desk API programming fashions. Reserve your seat now!
Workshops
Workshops are 2-hour hands-on classes the place you’re employed in groups to resolve issues utilizing AWS providers. Workshops arrange attendees into small teams and supply situations to encourage interplay, providing you with the chance to be taught from and train one another. Don’t neglect to carry your laptop computer!
- Occasion detection with MSK and Amazon Managed Service for Apache Flink: Tackle the function of a expertise supervisor for a Las Vegas on line casino. Discover ways to create a stream-processing software that identifies traditionally “excessive curler” on line casino friends coming into the on line casino and that sends you an e mail once they sit down at a playing desk. Reserve your seat now!
Bootcamp
Bolster your confidence with AWS providers and options in these eight-hour, deep-dive classes. Study by doing with skilled steerage, immersive workouts, and self-paced labs.
The beneath is one you can’t miss:
- Constructing streaming information analytics options on AWS: Study to design and implement streaming information analytics options utilizing AWS providers with an skilled AWS teacher. This 8-hour, deep-dive bootcamp is designed for information engineers, options architects, and builders who wish to construct and handle streaming information analytics pipelines. This bootcamp covers easy methods to scale streaming purposes utilizing Amazon Kinesis; easy methods to optimize information storage; easy methods to choose and deploy applicable choices to ingest, rework, retailer, and analyze information; and extra. You’ll be able to observe new abilities in an actual AWS setting with hands-on labs that cowl information analytics options. Reserve your seat now!
Nonetheless time for FUN!
All work and no play … not at re:Invent! Positive, we’ll work onerous and be taught rather a lot, however we additionally plan to have a good time whereas we’re collectively. AWS Builder Labs will provide you with the chance to check your abilities in sandbox settings whereas working alongside a number of the main minds from AWS!
Be part of the PeerTalk platform to simply discover, join, and community with others at re:Invent. Decide in to find attendees who share related pursuits—PeerTalk recommends connections for you. Browse suggestions, message individuals, and prepare meetups by the platform, then sit down for a face-to-face dialog in one of many 4 PeerTalk lounges situated all through the re:Invent campus.
Cease by the Analytics kiosk within the re:Invent expo corridor. Join with consultants to dive deeper into AWS streaming information providers reminiscent of Amazon Kinesis Information Streams, Amazon Kinesis Information Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming For Apache Kafka (Amazon MSK). Additionally, win prizes, showcase your Analytics superhero, and be taught all in regards to the newest improvements from our AWS Analytics providers.
Register in the present day
It’s going to be a tremendous occasion, and we are able to’t wait to see you at re:Invent 2023! Register now to safe your spot!
In regards to the writer
Anna Montalat is a Senior Product Advertising Supervisor for AWS streaming information providers which incorporates Amazon Managed Streaming for Apache Kafka (MSK), Kinesis Information Streams, Kinesis Video Streams, Kinesis Information Firehose, and Kinesis Information Analytics. She is enthusiastic about bringing new and rising applied sciences to market, working carefully with service groups and enterprise clients. Exterior of labor, Anna skis by winter time and sails by summer season.
