Be part of the worldwide cloud group at AWS re:Invent this yr to fulfill, get impressed, and rethink what’s attainable!
Reserved seating is offered for registered attendees to safe seats within the periods of their selection. You possibly can reserve a seat in your favourite periods by signing in to the attendee portal and navigating to Occasion > Classes. For individuals who can’t make it in individual, you may get your free on-line cross to look at stay keynotes and management periods by registering for a virtual-only entry. This curated attendee information helps knowledge and analytics fans handle their schedule*, in addition to navigate the AWS analytics and enterprise intelligence tracks to get the very best out of re:Invent.
For added session particulars, go to the AWS Analytics splash web page.
#AWSanalytics, #awsfordata, #reinvent22
Keynotes
KEY002 | Adam Selipsky (CEO, Amazon Net Providers) | Tuesday, November 29 | 8:30 AM – 10:30 AM
Be part of Adam Selipsky, CEO of Amazon Net Providers, as he seems to be on the ways in which forward-thinking builders are reworking industries and even our future, powered by AWS.
KEY003 | Swami Sivasubramanian (Vice President, AWS Knowledge and Machine Studying) | Wednesday, November 30 | 8:30 AM – 10:30 AM
Be part of Swami Sivasubramanian, Vice President of AWS Knowledge and Machine Studying, as he reveals the newest AWS improvements that may aid you remodel your organization’s knowledge into significant insights and actions for your corporation.
Management periods
ANT203-L | Unlock the worth of your knowledge with AWS analytics | G2 Krishnamoorthy, VP of AWS Analytics | Wednesday, November 30 | 2:30 PM – 3:30 PM
G2 addresses the present state of analytics on AWS, covers the newest service improvements round knowledge, and highlights buyer successes with AWS analytics. Additionally, be taught from organizations like FINRA and extra who’ve turned to AWS for his or her digital transformation journey.
Breakout periods
AWS re:Invent breakout periods are lecture-style and one hour lengthy periods delivered by AWS specialists, clients, and companions.
| Monday, Nov 28 | Tuesday, Nov 29 | Wednesday, Nov 30 | Thursday, Dec 1 | Friday, Dec 2 |
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10:00 AM – 11:00 AM ANT326 | How BMW, Intuit, and Morningstar are reworking with AWS and Amazon Athena |
11:00 AM – 12:00 PM ANT301 | Democratizing your group’s knowledge analytics expertise |
10:00 AM – 11:00 AM ANT212 | How JPMC and LexisNexis modernize analytics with Amazon Redshift |
12:30 PM – 1:30 PM ANT207 | What’s new in AWS streaming |
8:30 AM – 9:30 AM ANT311 | Constructing safety operations with Amazon OpenSearch Service |
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11:30 AM – 12:30 PM ANT206 | What’s new in Amazon OpenSearch Service |
12:15 PM – 1:15 PM ANT334 | Simplify and speed up knowledge integration and ETL modernization with AWS Glue |
10:00 AM – 11:00 AM ANT209 | Construct interactive analytics purposes |
12:30 PM – 1:30 PM BSI203 | Differentiate your apps with Amazon QuickSight embedded analytics |
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12:15 PM – 1:15 PM ANT337 | Migrating to Amazon EMR to scale back prices and simplify operations |
1:15 PM – 2:15 PM ANT205 | Attaining your fashionable knowledge structure |
10:45 AM – 11:45 AM ANT218 | Leveling up pc imaginative and prescient and synthetic intelligence growth |
1:15 PM – 2:15 PM ANT336 | Constructing knowledge mesh architectures on AWS |
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1:00 PM – 2:00 PM ANT341 | How Riot Video games processes 20 TB of analytics knowledge day by day on AWS |
2:00 PM – 3:00 PM BSI201 | Reinvent the way you derive worth out of your knowledge with Amazon QuickSight |
11:30 AM – 12:30 PM ANT340 | How Sony Orchard accelerated innovation with Amazon MSK |
2:00 PM – 3:00 PM ANT342 | How Poshmark accelerates development by way of real-time analytics and personalization |
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3:15 PM – 4:15 PM ANT302 | What’s new with Amazon EMR |
2:45 PM – 3:45 PM ANT339 | How Samsung modernized structure for real-time analytics |
1:00 PM – 2:00 PM ANT201 | What’s new with Amazon Redshift |
3:30 PM – 4:30 PM ANT219 | Dow Jones and 3M: Observability with Amazon OpenSearch Service |
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4:45 PM – 5:45 PM ANT335 | How Disney Parks makes use of AWS Glue to switch hundreds of Hadoop jobs |
3:30 PM – 4:30 PM ANT204 | Enabling agility with knowledge governance on AWS |
2:30 PM – 3:30 PM BSI202 | Migrate to cloud-native enterprise analytics with Amazon QuickSight |
3:30 PM – 4:30 PM BSI304 | Optimize your AWS value and utilization with Cloud Intelligence Dashboards |
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5:30 PM – 6:30 PM ANT220 | Utilizing Amazon AppFlow to interrupt down knowledge silos for analytics and ML |
5:00 PM – 6:00 PM ANT338 | Scaling knowledge processing with Amazon EMR on the pace of market volatility |
4:45 PM – 5:45 PM BSI207 | Get readability in your knowledge in seconds with Amazon QuickSight Q |
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5:45 PM – 6:45 PM ANT325 | Simplify working Apache Spark and Hive apps with Amazon EMR Serverless |
4:45 PM – 5:45 PM ANT324 | Modernize your knowledge warehouse |
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5:30 PM – 6:30 PM ANT317 | Self-service analytics with Amazon Redshift Serverless |
Chalk talks
Chalk talks are an hour lengthy, 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.
| Monday, Nov 28 | Tuesday, Nov 29 | Wednesday, Nov 30 | Thursday, Dec 1 | Friday, Dec 2 |
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12:15 PM – 1:15 PM ANT303 | Safety and knowledge entry controls in Amazon EMR |
11:00 AM – 12:00 PM ANT318 [Repeat] | Construct event-based microservices with AWS streaming providers |
9:15 AM – 10:15 AM ANT320 [Repeat] | Get higher worth efficiency in cloud knowledge warehousing with Amazon Redshift |
11:45 AM – 12:45 PM ANT329 | Flip knowledge to insights in seconds with safe and dependable Amazon Redshift |
9:15 AM – 10:15 AM ANT314 [Repeat] | Why and the best way to migrate to Amazon OpenSearch Service |
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12:15 PM – 1:15 PM BSI401 | Insightful dashboards by means of superior calculations with QuickSight |
11:45 AM – 12:45 PM BSI302 | Deploy your BI property at scale to hundreds with Amazon QuickSight |
10:45 AM – 11:45 AM ANT330 [Repeat] | Run Apache Spark on Kubernetes with Amazon EMR on Amazon EKS |
1:15 PM – 2:15 PM ANT401 | Ingest machine-generated knowledge at scale with Amazon OpenSearch Service |
10:00 AM – 11:00 AM ANT322 [Repeat] | Simplifying ETL migration and knowledge integration with AWS Glue |
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1:00 PM – 2:00 PM ANT323 [Repeat] | Break by means of knowledge silos with Amazon Redshift |
1:15 PM – 2:15 PM ANT327 | Modernize your analytics structure with Amazon Athena |
12:15 PM – 1:15 PM ANT323 [Repeat] | Break by means of knowledge silos with Amazon Redshift |
2:00 PM – 3:00 PM ANT333 [Repeat] | Construct a serverless knowledge streaming workload with Amazon Kinesis |
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1:45 PM – 2:45 PM ANT319 | Democratizing ML for knowledge analysts |
2:45 PM – 3:45 PM ANT320 [Repeat] | Get higher worth efficiency in cloud knowledge warehousing with Amazon Redshift |
4:00 PM – 5:00 PM ANT314 [Repeat] | Why and the best way to migrate to Amazon OpenSearch Service |
.2:00 AM – 3:00 PM ANT330 [Repeat] | Run Apache Spark on Kubernetes with Amazon EMR on Amazon EKS |
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1:45 PM – 2:45 PM ANT322 [Repeat] | Simplifying ETL migration and knowledge integration with AWS Glue |
2:45 PM – 3:45 PM BSI301 | Architecting multi-tenancy on your apps with Amazon QuickSight |
4:45 PM – 5:45 PM ANT333 [Repeat] | Construct a serverless knowledge streaming workload with Amazon Kinesis |
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5:30 PM – 6:30 PM ANT315 | Optimizing Amazon OpenSearch Service domains for scale and value |
4:15 PM – 5:15 PM ANT304 | Run serverless Spark workloads with AWS analytics |
4:45 PM – 5:45 PM ANT331 | Understanding TCO for various Amazon EMR deployment fashions |
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5:00 PM – 6:00 PM ANT328 | Construct transactional knowledge lakes utilizing open-table codecs in Amazon Athena |
4:45 PM – 5:45 PM ANT321 | What’s new in AWS Lake Formation |
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7:00 PM – 8:00 PM ANT318 [Repeat] | Construct event-based microservices with AWS streaming providers |
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Builders’ periods
These are one-hour small-group periods with as much as 9 attendees per desk and one AWS skilled. Every builders’ session begins with a brief clarification or demonstration of what you’re going to construct. As soon as the demonstration is full, convey your laptop computer to experiment and construct with the AWS skilled.
| Monday, Nov 28 | Tuesday, Nov 29 | Wednesday, Nov 30 | Thursday, Dec 1 | Friday, Dec 2 |
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11:00 AM – 12:00 PM ANT402 | Human vs. machine: Amazon Redshift ML inferences |
1:00 PM – 2:00 PM ANT332 | Construct an information pipeline utilizing Apache Airflow and Amazon EMR Serverless |
11:00 AM – 12:00 PM ANT316 [Repeat] | Learn how to construct dashboards for machine-generated knowledge |
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7:00 PM – 8:00 PM ANT316 [Repeat] | Learn how to construct dashboards for machine-generated knowledge |
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Workshops
Workshops are two-hour interactive periods the place you’re employed in groups or individually to resolve issues utilizing AWS providers. Every workshop begins with a brief lecture, and the remainder of the time is spent working the issue. Deliver your laptop computer to construct together with AWS specialists.
| Monday, Nov 28 | Tuesday, Nov 29 | Wednesday, Nov 30 | Thursday, Dec 1 | Friday, Dec 2 |
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10:00 AM – 12:00 PM ANT306 [Repeat] | Past monitoring: Observability with operational analytics |
11:45 AM – 1:45 PM ANT313 | Utilizing Apache Spark for knowledge science and ML workflows with Amazon EMR |
8:30 AM – 10:30 AM ANT307 | Enhance search relevance with ML in Amazon OpenSearch Service |
11:00 AM – 1:00 PM ANT403 | Occasion detection with Amazon MSK and Amazon Kinesis Knowledge Analytics |
8:30 AM – 10:30 AM ANT309 [Repeat]| Construct analytics purposes utilizing Apache Spark with Amazon EMR Serverless |
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4:00 PM – 6:00 PM ANT309 [Repeat]| Construct analytics purposes utilizing Apache Spark with Amazon EMR Serverless |
2:45 PM – 4:45 PM ANT310 [Repeat] | Construct an information mesh with AWS Lake Formation and AWS Glue |
12:15 PM – 2:15 PM ANT306 [Repeat] | Past monitoring: Observability with operational analytics |
11:45 AM – 1:45 PM BSI205 | Construct gorgeous custom-made dashboards with Amazon QuickSight |
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12:15 PM – 2:15 PM ANT312 | Close to real-time ML inferences with Amazon Redshift |
2:45 PM – 4:45 PM ANT308 | Seamless knowledge sharing utilizing Amazon |
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5:30 PM – 7:30 PM ANT310 [Repeat] | Construct an information mesh with AWS Lake Formation and AWS Glue |
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5:30 PM – 7:30 PM BSI303 | Seamlessly embed analytics into your apps with Amazon QuickSight |
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* All schedules are in PDT time zone.
AWS Analytics & Enterprise Intelligence kiosks
Be part of us on the AWS Analytics Kiosk within the AWS Village on the Expo. Dive deep into AWS Analytics with AWS material specialists, see the newest demos, ask questions, or simply drop by to socially join together with your friends.
In regards to the writer
Imtiaz (Taz) Sayed is the WW Tech Chief for Analytics at AWS. He enjoys partaking with the group on all issues knowledge and analytics. He will be reached by way ofLinkedIn.
