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100,000+ databases migrated to AWS 10,000+ data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases

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  • At vero eos et accusamus et iusto odio dignissimos
  • Ducimus qui blanditiis praesentium voluptatum
  • Deleniti atque corrupti quos dolores et quas Molestias excepturi sint occaecati cupiditate non
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Event Agenda

Sprint Week - Monday - Thursday, September 14 - 17, 2020
  Day 1 - Intro to AWS Analytics Day 2 - Amazon Redshift Day Day 3 - Amazon EMR Day Day 4 - Amazon Elasticsearch Day
1pm - 2pm ET

2pm - 3pm ET
3pm - 4pm ET

Session Agenda Details

  • Mon, Sept 14
  • Tues, Sept 15
  • Wed, Sept 16
  • Thurs, Sept 17
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Mon, Sept 14

Intro to AWS Analytics

Monday, September 14, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Day in the Life of AWSome Data (Level 200)
10:00 AM - 11:00 AM PT | 1:00 PM - 2:00 PM ET
A data-driven approach enables companies to examine and organize their data with the goal of better serving their customers and consumers. 85% of businesses want to create a data-driven culture, but only 37% have been successful. Learn how the AWS Data and Analytics Flywheel framework enables its customers to become more data-driven throughout the full data lifecycle, from ingestion to innovation, to drive business success.

AWS Analytics Portfolio (Level 200)
11:00 AM - 12:00 PM PT | 2:00 PM - 3:00 PM ET
AWS provides the most comprehensive portfolio of mature and integrated analytics services ranging from cloud data warehouses to serverless data lakes. Learn how building a modern data platform on AWS helps you quickly get from data to answers and see real world examples of what it means to harness the power of your data.

AWS ML Portfolio (Level 200)
12:00 PM - 1:00 PM PT | 3:00 PM - 4:00 PM ET
Learn more about the latest machine learning services from AWS and deep dive into Amazon SageMaker.

Tues, Sept 15

Amazon Redshift Day

Tuesday, September 15, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Amazon Redshift Overview & Architecture (Level 200-300)
10:00 AM - 11:30 AM PT | 1:00 PM - 2:30 PM ET
In this session, we will discuss in-depth Redshift concepts and the architecture which makes it a highly scalable and easy to use data warehousing service - ideal for high performant analytic workloads.

Demo: Data Warehouse Modernization & Migration to Redshift (Level 300)
11:30 AM - 1:00 PM PT | 2:30 PM - 4:00 PM ET
On-premises data warehouses are complex and expensive to manage, especially with respect to data load and performance. Migrating your on-premises data warehouse to Amazon Redshift can substantially improve query and data load performance, increase scalability, and save costs. This session will demonstrate how to use the AWS Schema Conversion Tool (AWS SCT) to migrate an existing on-premises data warehouse to Amazon Redshift.

Wed, Sept 16

Amazon EMR Day

Wednesday, September 16, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Amazon EMR Overview (Level 200)
10:00 AM - 11:00 AM PT | 1:00 PM - 2:00 PM ET
Deep dive into EMR, a cloud-native big data platform for processing vast amounts of data quickly and cost-effectively at scale.

What's New with Amazon EMR (Level 200)
11:00 AM - 12:00 PM PT | 2:00 PM - 3:00 PM ET
This session will provide an overview of recently announced Amazon EMR features, as well as upcoming releases.

Demo: Apache Hudi on Amazon EMR (Level 300)
12:00 PM - 1:00 PM PT | 3:00 PM - 4:00 PM ET
Join us for an in-depth discussion and demo that will walk you through using Apache Hudi to perform inserts, upserts, and deletes on data in an Amazon S3 based data lake.

Thurs, Sept 17

Amazon Elasticsearch Day

Thursday, September 17, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Modernize your Log Analytics with Amazon Elasticsearch Service (Level 200)
10:00 AM - 11:00 AM PT | 1:00 PM - 2:00 PM ET
Collecting and storing vast amounts of unstructured log data from across the enterprise is difficult and expensive. In this session we'll discuss common use cases and benefits for using Amazon Elasticsearch Service to collect, store, and search through log data for application, infrastructure, and security monitoring and analysis.

Demo: Have Your Front End & Monitor It Too with Amazon Elasticsearch Service (Level 300-400)
11:00 AM - 1:00 PM PT | 2:00 PM - 4:00 PM ET
Amazon Elasticsearch Service is both a search solution and a log-monitoring solution. In this session, we will demonstrate both. First you'll see how to build a front-end PHP web server that provides a search experience on movie data as well as backend monitoring to send Apache web logs, syslogs, and application logs to Amazon Elasticsearch. Then we'll walk through tuning the relevance for the search experience and building Kibana visualizations for the log data.

Track5 Session 1

Tab 5 content

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Track6 Session 1

Tab 6 content

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Track7 Session 1

Tab 7 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.

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

Tab 10 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.

Multiple City Registration

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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

Session Proficiency Levels Explained

  • 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

  • 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

  • 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

  • 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

About the Event

AWS Analytics Modernization Week is a series of free virtual sessions designed to help you understand how to build a data lake in the cloud and analyze all of your data with the broadest set of analytical approaches, including machine learning.

Watch any or all of the sessions below to dive deep into the AWS Analytics Portfolio through best practice sessions and technical demonstrations.

Who Should Attend

These sessions primarily feature 200-300-level content (Intermediate to Advanced), including technical presentations and demos designed for those experienced with the AWS console. The intended audience for this event includes:

  • Internal IT Leaders
  • DevOps Leaders
  • Data Engineers
  • Data Scientists
  • Developers
  • Architects
  • Database Administrators
  • Product Solutions Managers

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Featured Speakers

  • 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.

  • 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

  • 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.

  • 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.

  • 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

  • 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.

  • 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.

  • 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

  • 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.

  • 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.

  • 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

  • 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

Epic Logo Image

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

Yelp Logo Image

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.

Yelp

Airbnb Logo Image

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.

Airbnb

Lyft Image

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.

Lyft

FAQS

  1. Where is AWS Innovate hosted?
  2. What is the price of attending AWS Innovate?
  3. Who should attend AWS Innovate?
  4. 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.