Actual-time streaming knowledge prime picks you can not miss at AWS re:Invent 2023







Save the date: AWS re:Invent 2023 is occurring from November 27 to December 1 in Las Vegas, and you can not miss it. re:Invent is a studying convention organized by AWS for the worldwide cloud computing group. It’s an incredible alternative to return along with cloud fans from world wide to listen to in regards to the newest cloud trade improvements, meet with AWS consultants, have enjoyable, and construct connections.

Be a part of us as we delve into the world of real-time streaming knowledge at re:Invent 2023 and uncover how you should utilize real-time streaming knowledge to construct new use circumstances, optimize present initiatives and processes, and reimagine what’s attainable. In as we speak’s data-driven panorama, the standard of information is the inspiration upon which the success of organizations and improvements stands. Excessive-quality knowledge isn’t just 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, knowledge must be ingested and processed in actual time. Actual-time knowledge empowers these fashions to adapt and reply instantaneously to altering situations, making them not simply smarter but additionally extra sensible. With real-time streaming knowledge, 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 functions are huge.

This put up will assist you plan your re:Invent expertise by highlighting the important periods on real-time streaming knowledge and past that you simply shouldn’t miss. To attend these periods, you’ll want to register for re:Invent and entry the session catalog. Register now!

Keynotes and Innovation Speak periods you can not 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 Speak periods.

Adam Selipsky, Chief Government Officer of Amazon Net Providers – Keynote

Tuesday, November 28 | 8:30 AM – 10:30 AM PST | The Venetian

Be a part of 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 sooner, mine untapped potential, and create a greater future.

Reserve your seat now!

Swami Sivasubramanian, Vice President of AWS Information and AI– Keynote

Wednesday, November 29 | 8:30 AM – 10:30 AM PST | The Venetian

Be a part of Swami Sivasubramanian, Vice President of Information and AI at AWS, to find how you should utilize your organization’s knowledge to construct differentiated generative AI functions 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 knowledge to assist their generative AI use circumstances and create new experiences for his or her clients.

Reserve your seat now!

Placing your knowledge to work with generative AI Innovation Speak

Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian

Be a part of Mai-Lan Tomsen Bukovec, Vice President, Know-how at AWS to be taught how one can flip your knowledge 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 in style 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) knowledge for coaching, fine-tuning, checkpointing, and immediate engineering. Additionally hear completely different architectural patterns that clients use as we speak to harness their enterprise knowledge for personalized generative AI options.

Reserve your seat now!

Information drives transformation: Information foundations with AWS analytics – Innovation Speak

Thursday, November 30 | 2:00 – 3:00 PM PST | The Venetian

Be a part of G2 Krishnamoorthy, Vice President of AWS Analytics, to debate methods for embedding analytics into your functions and concepts for constructing a knowledge basis that helps what you are promoting initiatives. With new capabilities for self-service and less complicated builder experiences, you possibly can democratize knowledge entry for line-of-business customers, analysts, scientists, and engineers. Hear inspiring tales from adidas, GlobalFoundries, and the College of California, Irvine.

Reserve your seat now!

Breakout periods

Deepen your studying with re:Invent breakout periods. re:Invent breakout periods are lecture-style and 1 hour lengthy. These periods 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 knowledge: Be a part of Mindy Ferguson, Vice President of Streaming and Messaging at AWS, and Arvinth Ravi, Basic Supervisor of Amazon Kinesis Information Streams, on this session that highlights the significance of implementing ubiquitous real-time knowledge methods to realize a aggressive edge. Uncover the most recent launches in AWS streaming knowledge providers, acquire insights into real-world functions, and discover how you should utilize them to resolve a wide range of use circumstances to make fast, real-time choices to optimize prices, improve buyer engagement, and drive progress. Reserve your seat now!
  • How Rivian builds real-time analytics from electrical autos: Learn the way Rivian’s car knowledge platform workforce makes use of Amazon MSK and different AWS analytics providers to construct a safe, scalable, cost-effective, and extensible knowledge platform that powers completely different groups throughout the group. Reserve your seat now!
  • Serverless knowledge streaming: Amazon Kinesis Information Streams and AWS Lambda: Discover the intricacies of making scalable, production-ready knowledge streaming architectures utilizing Amazon Kinesis Information Streams and AWS Lambda. Delve into suggestions and greatest practices important to navigating the challenges and pitfalls inherent to distributed programs that come up alongside the best way, and observe how AWS providers work and work together. Reserve your seat now!
  • Break down knowledge silos utilizing real-time synchronization with Flink CDC: Learn the way, by utilizing Flink CDC on AWS, you possibly can simplify real-time synchronization and ingestion throughout transactional databases and at last break down knowledge silos. Reserve your seat now!
  • Scaling serverless knowledge processing with Amazon Kinesis and Apache Kafka: Discover learn how to construct scalable knowledge processing functions utilizing AWS Lambda. Study sensible insights into integrating Lambda with Amazon Kinesis and Apache Kafka utilizing their event-driven fashions for real-time knowledge streaming and processing. Design serverless knowledge processing pipelines and extract beneficial insights from real-time knowledge 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 knowledgeable adopted by a Q&A session with the viewers.

  • Stream knowledge 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 remodel gross sales knowledge, and make it obtainable for machine studying. Reserve your seat now!
  • Migrating self-managed Apache Flink to totally managed on AWS: Overview key particulars to bear in mind when migrating self-managed Apache Flink functions to Amazon Managed Service for Apache Flink. Discover how utilizing cloud-based providers with the proper patterns can scale back operational overhead. Hear about greatest practices that may assist with migration whereas nonetheless sustaining prices, scale, and efficiency. Reserve your seat now!
  • Methods to migrate your Apache Kafka workloads to Amazon MSK: Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming knowledge service that manages Apache Kafka infrastructure and operations. Study the advantages of migrating to Amazon MSK and learn how to carry and shift present clusters utilizing MirrorMaker 2.0 (MM2). Take a deep dive into the MM2 and Kafka Join structure, and discover the frequent bottlenecks and challenges of high-throughput knowledge streams. Reserve your seat now!
  • Accelerating worth from knowledge: Migrate from batch to stream processing: Discover the aggressive benefits of transitioning from conventional batch processing to stream processing. Have a look at key ideas and architectural patterns of streaming to deal with potential challenges and hiccups alongside this migration journey. By an instance use case, acquire insights into learn how to efficiently transition from batch to real-time knowledge processing utilizing AWS streaming knowledge providers. Reserve your seat now!
  • Quick-track streaming ETL with AWS streaming knowledge providers: Discover ways to construct streaming knowledge pipelines throughout knowledge lakes and knowledge 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 knowledge warehouse: Learn the way enterprise clients are rearchitecting their knowledge environments to lean extra closely on streaming analytics to course of throughput of thousands and thousands of information per second. We are going to present you learn how to implement an ELT method that makes use of Amazon Redshift’s native integration with streaming knowledge 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 trendy enterprise necessities. Study Amazon EventBridge and Apache Kafka and acquire insights into their roles for facilitating real-time decision-making, elevated enterprise velocity, and operational autonomy. Reserve your seat now!
  • Pace up knowledge predictions with real-time inference at scale: It’s essential to research, be taught, and make predictions out of your knowledge in a well timed method as a result of the worth of information diminishes over time. Dive into event-driven structure and see how you should utilize machine studying inference with streaming knowledge to detect patterns and anomalies to understand a sooner path to choices out of your knowledge. Reserve your seat now!

Code Speak

Code Talks are 60-minute periods 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 utility on Amazon Managed Service for Apache Flink: Be a part of this code speak to develop and host a streaming and production-ready Apache Flink utility on Amazon Managed Service for Apache Flink utilizing the DataStream and Desk API programming fashions. Reserve your seat now!


Workshops are 2-hour hands-on periods the place you’re employed in groups to resolve issues utilizing AWS providers. Workshops set up attendees into small teams and supply situations to encourage interplay, supplying you with the chance to be taught from and educate one another. Don’t overlook to carry your laptop computer!

  • Occasion detection with MSK and Amazon Managed Service for Apache Flink: Tackle the function of a know-how supervisor for a Las Vegas on line casino. Discover ways to create a stream-processing utility that identifies traditionally “excessive curler” on line casino visitors coming into the on line casino and that sends you an electronic mail once they sit down at a playing desk. Reserve your seat now!


Bolster your confidence with AWS providers and options in these eight-hour, deep-dive periods. Study by doing with knowledgeable steerage, immersive workouts, and self-paced labs.

The beneath is one you can not miss:

  • Constructing streaming knowledge analytics options on AWS: Study to design and implement streaming knowledge analytics options utilizing AWS providers with an knowledgeable AWS teacher. This 8-hour, deep-dive bootcamp is designed for knowledge engineers, options architects, and builders who need to construct and handle streaming knowledge analytics pipelines. This bootcamp covers learn how to scale streaming functions utilizing Amazon Kinesis; learn how to optimize knowledge storage; learn how to choose and deploy applicable choices to ingest, remodel, retailer, and analyze knowledge; and extra. You’ll be able to follow new abilities in an actual AWS surroundings with hands-on labs that cowl knowledge analytics options. Reserve your seat now!

Nonetheless time for FUN!

All work and no play … not at re:Invent! Positive, we’ll work arduous and be taught lots, 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 a part of the PeerTalk platform to simply discover, join, and community with others at re:Invent. Decide in to find attendees who share comparable pursuits—PeerTalk recommends connections for you. Browse suggestions, message folks, and prepare meetups by means of the platform, then sit down for a face-to-face dialog in one of many 4 PeerTalk lounges positioned 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 knowledge providers similar to 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, exhibit your Analytics superhero, and be taught all in regards to the newest improvements from our AWS Analytics providers.

Register as we speak

It’s going to be a tremendous occasion, and we will’t wait to see you at re:Invent 2023! Register now to safe your spot!

Concerning the writer

Anna Montalat is a Senior Product Advertising and marketing Supervisor for AWS streaming knowledge 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 keen about bringing new and rising applied sciences to market, working carefully with service groups and enterprise clients. Exterior of labor, Anna skis by means of winter time and sails by means of summer season.


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