Data-Driven Everything: Dallas
February 9 or February 10, 2023
10:00 AM - 4:00 PM CT
Registration for this event is now closed.
Join us in Dallas
You're invited to join us in person for this one-day event on Thursday, February 9, or Friday, February 10, at Amazon office DFW11 in Dallas, Texas. AWS experts will give you an in-depth look at the value of data and how you can implement a modern data strategy. Both days will feature the same sessions.
About the event
Exabytes of data are being generated every single day. Because data is vast, dynamic, and comes in different formats, extracting value from it can be challenging. Harnessing the full potential of data requires an end-to-end modern strategy. To discover insights like customer churn rates, organizations need to unify different types of data in a data lake where they can use tools to analyze data and build dashboards to drive insights. They can use data to fuel machine learning too, creating better customer experiences and improving operational efficiency.
Join AWS technical specialists as they take you on a journey of how an online service provider uses data to investigate a decline in customers, ultimately discovering an action they can take to improve their own processes. While on this journey, you will learn about key services to build your data foundation on AWS and gain valuable hands-on experience working backwards from a real-world customer problem.
Who should attend?
Business analysts, data analysts, data engineers, and IT professionals who are curious about how to use multiple AWS services together to create an end-to-end solution to a business problem, such as customer churn.
This will be a hands-on keyboard event where you will be reading and running code. Come solo or bring your team to build collaboratively! However, space is limited and all attendees must register.
Why should I attend?
At this event, you will:
- Get hands-on experience with multiple AWS services to solve a business challenge
- Use advanced analytics to gain insights about customers
- Architect a solution on AWS
After the event, we will email attendees a Certificate of Attendance.
Register for this event here:
Agenda for Both Days
Registration (60 min)
9:00 AM - 10:00 AM CT
- Registration opens at 9:00 AM at Amazon DFW11 on the 14th floor.
Welcome and introduction (30 min)
10:00 AM - 10:30 AM CT
- We will start with an overview of goals for the day and dive into the business challenge we're architecting a solution for throughout the event.
- Speakers: Travis Price/Dwayne Browne
Querying the data lake (30 min)
10:30 AM - 11:00 AM CT
- In this session, we will cover storing data in Amazon S3, registering data with AWS Glue Data Catalog, and querying data with SQL.
- Speakers: Dwayne Browne/Patrick Callaghan
- Level: 200
Break (15 min)
11:00 AM - 11:15 AM CT
- Sessions to resume at 11:15 AM.
Lab 1 (20 min)
11:15 AM - 11:35 AM CT
- In this hands-on lab, we'll cover adding data to Amazon S3, cataloging it with AWS Glue, and querying it with SQL via Amazon Athena.
- Speakers: Dwayne Browne/Patrick Callaghan
- Level: 200
Data visualization (30 min)
11:35 AM - 12:05 PM CT
- In this session, we'll cover creating visualizations of data in Amazon S3.
- Speakers: Moira Lennox/Manish Vazirani
- Level: 200
Lunch (30 min)
12:05 PM - 12:35 PM CT
- Lunch will be provided.
Lab 2 (30 min)
12:35 PM - 1:05 PM CT
- In this hands-on lab, we'll cover creating visualizations and analyses with Amazon QuickSight.
- Speakers: Benson Tanner/Manish Vazirani
- Level: 200
Streaming data (20 min)
1:05 PM - 1:25 PM CT
- In this session, we'll cover collecting streaming data into a streaming data system, and persisting the data.
- Speakers: Benson Tanner/Manish Vazirani
- Level: 200
Lab 3 (15 min)
1:25 PM - 1:40 PM CT
- In this hands-on lab, we'll cover acquiring data into Amazon Kinesis Data Streams and persisting it to Amazon S3 via Amazon Kinesis Data Firehose.
- Speakers: Benson Tanner/Manish Vazirani
- Level: 200
Data enrichment (20 min)
1:40 PM - 2:00 PM CT
- In this hands-on lab, we'll cover acquiring data into Amazon Kinesis Data Streams and persisting it to Amazon S3 via Amazon Kinesis Data Firehose.
- Speaker: Patrick Callaghan/Travis Price
- Level: 200
Break (15 min)
2:00 PM - 2:15 PM CT
- Sessions to resume at 2:15 PM.
Lab 4 (30 min)
2:15 PM - 2:45 PM CT
- In this hands-on lab, we'll use an AWS Lambda function to read data from Amazon S3, extract sentiment and key phrases with Amazon Comprehend, and store it back to Amazon S3.
- Speakers: Patrick Callaghan/Travis Price
- Level: 200
Data insights (20 min)
2:45 PM - 3:05 PM CT
- In this session, we will cover querying enriched data with SQL, and creating visualizations of enriched data.
- Speakers: Manish Vazirani/Benson Tanner
- Level: 200
Lab 5 (25 min)
3:05 PM - 3:30 PM CT
- In this hands-on lab, we'll cover querying enriched data in Amazon S3 and creating analyses in Amazon Quicksight to illustrate insight into customer sentiment.
- Speakers: Manish Vazirani/Benson Tanner
- Level: 200
Wrap-up and next steps (30 min)
3:30 PM - 4:00 PM CT
- As we wrap up our day of learning, we'll share some resources for you until next time.
- Speakers: Travis Price/Patrick Callaghan
Happy hour networking event (60 min)
4:00 PM - 5:00 PM CT
- Join us for an on-site happy hour for refreshments, networking, and one-on-one time with our AWS technical specialists.
Agenda
Led by AWS solutions experts
- Day 1: February 9
- Day 2: February 10
- Track3 Session 1
- Track4 Session 1
- Track5 Session 1
- Track6 Session 1
- Track7 Session 1
- Track8 Session 1
- Track9 Session 1
- Track10 Session 1
Day 1: February 9
Day 2: February 10
Track3 Session 1
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Track5 Session 1
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Track7 Session 1
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Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track8 Session 1
Tab 8 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track9 Session 1
Tab 9 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track10 Session 1
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Multiple City Registration
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Venue
Amazon DFW11 Office
13455 Noel Rd, Ste 1400, Dallas, TX 75240
Event location details
The event will be held at Amazon office DFW11. Registration begins at 9:00 AM on the 14th floor. Bring a valid ID to show at registration and bring your own laptop to participate in the labs.
Following the event, join us for an on-site happy hour for refreshments, networking, and one-on-one time with our AWS technical specialists.
Amazon Office DFW11 address:
13455 Noel Rd, Ste 1400, Dallas, TX 75240
Health measures
Proof of vaccination or a negative test result are not required for guests attending this event at Amazon DFW11. Masks are not required to be worn, but we encourage you to wear a mask based on personal preference, informed by your personal level of risk. Learn more about the use and care of masks from the Centers for Disease Control and Prevention.
Session Proficiency Levels Explained
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Level 100
Introductory
Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic
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Level 200
Intermediate
Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics
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Level 300
Advanced
Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution
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Level 400
Expert
Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations
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Featured Speakers
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Raju Gulabani, VP of Databases, Analytics & AI, AWS
Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.
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Ryan Kelly, Data Architect, Equinox
Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox
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Richard Boyd, Cloud Data Engineer, iRobot
Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.
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Raju Gulabani, VP of Databases, Analytics & AI, AWS
Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.
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Ryan Kelly, Data Architect, Equinox
Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox
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Richard Boyd, Cloud Data Engineer, iRobot
Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.
Customer Highlights
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
FAQS
- Where is AWS Innovate hosted?
- What is the price of attending AWS Innovate?
- Who should attend AWS Innovate?
- How do I get the certificate of attendance?
Q: Where is this event?
A: This event is an online event, hosted by AWS on the INXPO platform.
Q: Who should attend this event?
A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.
Q: How much does this event cost?
A: There is no cost to attend this event.
Q: What are the prerequisites before attending the event?
A: There are no prerequisites for attending the event. We encourage attendees to browse the Database and Analytics pages on the AWS website to get a brief overview of the services available to them.