Post Syndicated from Imtiaz Sayed original https://aws.amazon.com/blogs/big-data/your-guide-to-aws-analytics-at-reinvent-2022/
Join the global cloud community at AWS re:Invent this year to meet, get inspired, and rethink what’s possible!
Reserved seating is available for registered attendees to secure seats in the sessions of their choice. You can reserve a seat in your favorite sessions by signing in to the attendee portal and navigating to Event > Sessions. For those who can’t make it in person, you can get your free online pass to watch live keynotes and leadership sessions by registering for a virtual-only access. This curated attendee guide helps data and analytics enthusiasts manage their schedule*, as well as navigate the AWS analytics and business intelligence tracks to get the best out of re:Invent.
For additional session details, visit the AWS Analytics splash page.
#AWSanalytics, #awsfordata, #reinvent22
Keynotes
KEY002 | Adam Selipsky (CEO, Amazon Web Services) | Tuesday, November 29 | 8:30 AM – 10:30 AM
Join Adam Selipsky, CEO of Amazon Web Services, as he looks at the ways that forward-thinking builders are transforming industries and even our future, powered by AWS.
KEY003 | Swami Sivasubramanian (Vice President, AWS Data and Machine Learning) | Wednesday, November 30 | 8:30 AM – 10:30 AM
Join Swami Sivasubramanian, Vice President of AWS Data and Machine Learning, as he reveals the latest AWS innovations that can help you transform your company’s data into meaningful insights and actions for your business.
Leadership sessions
ANT203-L | Unlock the value of your data with AWS analytics | G2 Krishnamoorthy, VP of AWS Analytics | Wednesday, November 30 | 2:30 PM – 3:30 PM
G2 addresses the current state of analytics on AWS, covers the latest service innovations around data, and highlights customer successes with AWS analytics. Also, learn from organizations like FINRA and more who have turned to AWS for their digital transformation journey.
Breakout sessions
AWS re:Invent breakout sessions are lecture-style and one hour long sessions delivered by AWS experts, customers, and partners.
| 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 transforming with AWS and Amazon Athena |
11:00 AM – 12:00 PM ANT301 | Democratizing your organization’s data analytics experience |
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 | Building security 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 accelerate data integration and ETL modernization with AWS Glue |
10:00 AM – 11:00 AM ANT209 | Build interactive analytics applications |
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 reduce costs and simplify operations |
1:15 PM – 2:15 PM ANT205 | Achieving your modern data architecture |
10:45 AM – 11:45 AM ANT218 | Leveling up computer vision and artificial intelligence development |
1:15 PM – 2:15 PM ANT336 | Building data mesh architectures on AWS |
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1:00 PM – 2:00 PM ANT341 | How Riot Games processes 20 TB of analytics data daily on AWS |
2:00 PM – 3:00 PM BSI201 | Reinvent how you derive value from your data 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 growth via real-time analytics and personalization |
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1:45 PM – 2:45 PM BSI207 | Get clarity on your data in seconds with Amazon QuickSight Q |
2:45 PM – 3:45 PM ANT339 | How Samsung modernized architecture 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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3:15 PM – 4:15 PM ANT302 | What’s new with Amazon EMR |
3:30 PM – 4:30 PM ANT204 | Enabling agility with data governance on AWS |
2:30 PM – 3:30 PM BSI202 | Migrate to cloud-native business analytics with Amazon QuickSight |
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4:45 PM – 5:45 PM ANT335 | How Disney Parks uses AWS Glue to replace thousands of Hadoop jobs |
5:00 PM – 6:00 PM ANT338 | Scaling data processing with Amazon EMR at the speed of market volatility |
4:45 PM – 5:45 PM ANT324 | Modernize your data warehouse |
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5:30 PM – 6:30 PM ANT220 | Using Amazon AppFlow to break down data silos for analytics and ML |
5:45 PM – 6:45 PM ANT325 | Simplify running Apache Spark and Hive apps with Amazon EMR Serverless |
5:30 PM – 6:30 PM ANT317 | Self-service analytics with Amazon Redshift Serverless |
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Chalk talks
Chalk talks are an hour long, highly interactive content format with a small audience. Each begins with a short lecture delivered by an AWS expert, followed by a Q&A session with the audience.
| 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 | Security and data access controls in Amazon EMR |
11:00 AM – 12:00 PM ANT318 [Repeat] | Build event-based microservices with AWS streaming services |
9:15 AM – 10:15 AM ANT320 [Repeat] | Get better price performance in cloud data warehousing with Amazon Redshift |
11:45 AM – 12:45 PM ANT329 | Turn data to insights in seconds with secure and reliable Amazon Redshift |
9:15 AM – 10:15 AM ANT314 [Repeat] | Why and how to migrate to Amazon OpenSearch Service |
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12:15 PM – 1:15 PM BSI401 | Insightful dashboards through advanced calculations with QuickSight |
11:45 AM – 12:45 PM BSI302 | Deploy your BI assets at scale to thousands 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 data at scale with Amazon OpenSearch Service |
10:00 AM – 11:00 AM ANT322 [Repeat] | Simplifying ETL migration and data integration with AWS Glue |
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1:00 PM – 2:00 PM ANT323 [Repeat] | Break through data silos with Amazon Redshift |
1:15 PM – 2:15 PM ANT327 | Modernize your analytics architecture with Amazon Athena |
12:15 PM – 1:15 PM ANT323 [Repeat] | Break through data silos with Amazon Redshift |
2:00 PM – 3:00 PM ANT333 [Repeat] | Build a serverless data streaming workload with Amazon Kinesis |
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1:45 PM – 2:45 PM ANT319 | Democratizing ML for data analysts |
2:45 PM – 3:45 PM ANT320 [Repeat] | Get better price performance in cloud data warehousing with Amazon Redshift |
4:00 PM – 5:00 PM ANT314 [Repeat] | Why and how 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 data integration with AWS Glue |
2:45 PM – 3:45 PM BSI301 | Architecting multi-tenancy for your apps with Amazon QuickSight |
4:45 PM – 5:45 PM ANT333 [Repeat] | Build a serverless data streaming workload with Amazon Kinesis |
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5:30 PM – 6:30 PM ANT315 | Optimizing Amazon OpenSearch Service domains for scale and cost |
4:15 PM – 5:15 PM ANT304 | Run serverless Spark workloads with AWS analytics |
4:45 PM – 5:45 PM ANT331 | Understanding TCO for different Amazon EMR deployment models |
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5:00 PM – 6:00 PM ANT328 | Build transactional data lakes using open-table formats 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] | Build event-based microservices with AWS streaming services |
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Builders’ sessions
These are one-hour small-group sessions with up to nine attendees per table and one AWS expert. Each builders’ session begins with a short explanation or demonstration of what you’re going to build. Once the demonstration is complete, bring your laptop to experiment and build with the AWS expert.
| Monday, Nov 28 | Tuesday, Nov 29 | Wednesday, Nov 30 | Thursday, Dec 1 | Friday, Dec 2 |
| …………………………. |
11:00 AM – 12:00 PM ANT402 | Human vs. machine: Amazon Redshift ML inferences |
1:00 PM – 2:00 PM ANT332 | Build a data pipeline using Apache Airflow and Amazon EMR Serverless |
11:00 AM – 12:00 PM ANT316 [Repeat] | How to build dashboards for machine-generated data |
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7:00 PM – 8:00 PM ANT316 [Repeat] | How to build dashboards for machine-generated data |
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Workshops
Workshops are two-hour interactive sessions where you work in teams or individually to solve problems using AWS services. Each workshop starts with a short lecture, and the rest of the time is spent working the problem. Bring your laptop to build along with AWS experts.
| 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] | Beyond monitoring: Observability with operational analytics |
11:45 AM – 1:45 PM ANT313 | Using Apache Spark for data science and ML workflows with Amazon EMR |
8:30 AM – 10:30 AM ANT307 | Improve search relevance with ML in Amazon OpenSearch Service |
11:00 AM – 1:00 PM ANT403 | Event detection with Amazon MSK and Amazon Kinesis Data Analytics |
8:30 AM – 10:30 AM ANT309 [Repeat]| Build analytics applications using Apache Spark with Amazon EMR Serverless |
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4:00 PM – 6:00 PM ANT309 [Repeat]| Build analytics applications using Apache Spark with Amazon EMR Serverless |
2:45 PM – 4:45 PM ANT310 [Repeat] | Build a data mesh with AWS Lake Formation and AWS Glue |
12:15 PM – 2:15 PM ANT306 [Repeat] | Beyond monitoring: Observability with operational analytics |
11:45 AM – 1:45 PM BSI205 | Build stunning customized dashboards with Amazon QuickSight |
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12:15 PM – 2:15 PM ANT312 | Near real-time ML inferences with Amazon Redshift |
2:45 PM – 4:45 PM ANT308 | Seamless data sharing using Amazon |
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5:30 PM – 7:30 PM ANT310 [Repeat] | Build a data 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 & Business Intelligence kiosks
Join us at the AWS Analytics Kiosk in the AWS Village at the Expo. Dive deep into AWS Analytics with AWS subject matter experts, see the latest demos, ask questions, or just drop by to socially connect with your peers.
About the author
Imtiaz (Taz) Sayed is the WW Tech Leader for Analytics at AWS. He enjoys engaging with the community on all things data and analytics. He can be reached viaLinkedIn.