Save the date: AWS re:Invent 2023 is occurring 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 world wide to listen to in regards to the newest cloud trade improvements, meet with AWS specialists, have enjoyable, and construct connections.

Be part of us as we delve into the world of real-time streaming knowledge at re:Invent 2023 and uncover how you should use real-time streaming knowledge to construct new use instances, optimize present initiatives and processes, and reimagine what’s doable. In right now’s data-driven panorama, the standard of knowledge is the muse 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 eventualities, making them not simply smarter but in addition extra sensible. With real-time streaming knowledge, organizations can reimagine what’s doable. 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 publish will allow you to plan your re:Invent expertise by highlighting the important classes on real-time streaming knowledge 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 likelihood to listen to from a few of the main voices in AWS. Listed below are a few of our favourite keynotes and Innovation Discuss classes.

Adam Selipsky, Chief Government Officer of Amazon Internet Companies – Keynote

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

Be part of Adam Selipsky, CEO of Amazon Internet Companies, as he shares his perspective on cloud transformation. He highlights improvements in knowledge, infrastructure, and synthetic intelligence and machine studying which can be serving to AWS clients obtain their targets sooner, mine untapped potential, and create a greater future.

Reserve your seat now!

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

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

Be part of Swami Sivasubramanian, Vice President of Knowledge and AI at AWS, to find how you should use your organization’s knowledge 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 knowledge to assist their generative AI use instances and create new experiences for his or her clients.

Reserve your seat now!

Placing your knowledge 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, Know-how at AWS to study 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 finest 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 right now to harness their enterprise knowledge for personalized generative AI options.

Reserve your seat now!

Knowledge drives transformation: Knowledge 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 corporation initiatives. With new capabilities for self-service and less complicated builder experiences, you may 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 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 matters in any respect ranges. The next are a few of our favorites:

• Speed up innovation with real-time knowledge: Be part of Mindy Ferguson, Vice President of Streaming and Messaging at AWS, and Arvinth Ravi, Common Supervisor of Amazon Kinesis Knowledge Streams, on this session that highlights the significance of implementing ubiquitous real-time knowledge methods to achieve a aggressive edge. Uncover the newest launches in AWS streaming knowledge companies, achieve insights into real-world purposes, and discover how you should use them to resolve quite a lot of use instances to make fast, real-time choices to optimize prices, improve buyer engagement, and drive development. Reserve your seat now!
• How Rivian builds real-time analytics from electrical autos: Learn the way Rivian’s car knowledge platform staff makes use of Amazon MSK and different AWS analytics companies 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 Knowledge Streams and AWS Lambda: Discover the intricacies of making scalable, production-ready knowledge streaming architectures utilizing Amazon Kinesis Knowledge Streams and AWS Lambda. Delve into suggestions and finest practices important to navigating the challenges and pitfalls inherent to distributed programs that come up alongside the best way, and observe how AWS companies work and work together. Reserve your seat now!
• Break down knowledge silos utilizing real-time synchronization with Flink CDC: Learn the way, through the use of Flink CDC on AWS, you may 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 tips on how to construct scalable knowledge processing purposes utilizing AWS Lambda. Be taught 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 invaluable 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 skilled 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 accessible 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 companies with the best patterns can scale back operational overhead. Hear about finest practices that may assist with migration whereas nonetheless sustaining prices, scale, and efficiency. Reserve your seat now!
• The way 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. Be taught the advantages of migrating to Amazon MSK and tips on 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. 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 tips on how to efficiently transition from batch to real-time knowledge processing utilizing AWS streaming knowledge companies. Reserve your seat now!
• Quick-track streaming ETL with AWS streaming knowledge companies: Discover ways to construct streaming knowledge pipelines throughout knowledge lakes and knowledge warehouses. Be taught finest practices for efficiency, scale, and price management in Amazon Kinesis Knowledge 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 tens of millions of data per second. We’ll present you tips on how to implement an ELT method that makes use of Amazon Redshift’s native integration with streaming knowledge companies 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 satisfy 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 knowledge predictions with real-time inference at scale: It’s essential to research, study, and make predictions out of your knowledge 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 use 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 Discuss

Code Talks are 60-minute classes that target the precise code concerned in constructing an answer. You’ll study 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 speak 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 companies. Workshops arrange attendees into small teams and supply eventualities to encourage interplay, providing you with the chance to study 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 position of a know-how supervisor for a Las Vegas on line casino. Discover ways to create a stream-processing software that identifies traditionally “excessive curler” on line casino company 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 companies and options in these eight-hour, deep-dive classes. Be taught by doing with skilled steering, immersive workout routines, and self-paced labs.

The beneath is one you can’t miss:

• Constructing streaming knowledge analytics options on AWS: Be taught to design and implement streaming knowledge analytics options utilizing AWS companies with an skilled AWS teacher. This 8-hour, deep-dive bootcamp is designed for knowledge engineers, options architects, and builders who wish to construct and handle streaming knowledge analytics pipelines. This bootcamp covers tips on how to scale streaming purposes utilizing Amazon Kinesis; tips on how to optimize knowledge storage; tips on how to choose and deploy acceptable choices to ingest, remodel, retailer, and analyze knowledge; and extra. You possibly can apply 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! Certain, we’ll work laborious and study rather a lot, however we additionally plan to have a good time whereas we’re collectively. AWS Builder Labs gives you the chance to check your abilities in sandbox settings whereas working alongside a few 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 comparable pursuits—PeerTalk recommends connections for you. Browse suggestions, message folks, and organize meetups by means of 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 specialists to dive deeper into AWS streaming knowledge companies resembling Amazon Kinesis Knowledge Streams, Amazon Kinesis Knowledge Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming For Apache Kafka (Amazon MSK). Additionally, win prizes, showcase your Analytics superhero, and study all in regards to the newest improvements from our AWS Analytics companies.

Register right now

It’s going to be an incredible 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 creator

Anna Montalat is a Senior Product Advertising Supervisor for AWS streaming knowledge companies which incorporates Amazon Managed Streaming for Apache Kafka (MSK), Kinesis Knowledge Streams, Kinesis Video Streams, Kinesis Knowledge Firehose, and Kinesis Knowledge Analytics. She is obsessed with bringing new and rising applied sciences to market, working intently with service groups and enterprise clients. Exterior of labor, Anna skis by means of winter time and sails by means of summer time.