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EVENT DETAILS |
AWS provides the most comprehensive set of services to move, store, and analyze your data, simplifying the process of setting up a data lake with a serverless architecture.
Come learn about data lake concepts and the AWS services that enable you to build a secure and efficient data lake, including more information on AWS Lake Formation, a service that simplifies creating and managing a secure data lake. We will also cover tools and services for processing and analyzing data in your data lake and you'll get hands on experience with a variety of related AWS services in the labs.
Who should attend
Data Platform Engineers, Developers, Architects, and SysOps Admins who are eager to learn how to deploy Data Lakes on AWS. This event is best for attendees with a working knowledge of Databases and Analytics, as well as AWS services.
Please bring your laptop to participate in workshops, and make sure you have an active AWS account that you've logged into within one week of the event start date. Credits for workshop participation will be provided.
Schedule
9:30AM-10:00AM
Check In
Sign in, grab a badge, and get your seat.
10:00AM-10:15AM
Introduction to the AWS Loft and Data Lake Day
10:15AM-11:15AM
Building Your Data Lake on AWS
Learn about data lake concepts and architectural principals, and the tools available within AWS for building and securing a data lake. This session also includes more information on AWS Lake Formation, a recently launched service that makes it easy to setup and secure a data lake in days.
Level: 300
11:15AM-1:30PM
Lunch Workshop: Architecting a Serverless Data Lake
Enjoy lunch, courtesy of Amazon. In this workshop, learn how to create a serverless data lake architecture. Get hands-on experience with ingesting data into a data lake, transforming data to optimize for querying, and cataloging the data so that it is available for querying with a variety of tools.
Level: 300
1:30PM-2:30PM
Processing and Analyzing Data in the Data Lake
In this session we will examine a number of tools and services for processing and analyzing data in your data lake, including Amazon Athena, Amazon EMR, Amazon Redshift Spectrum, and Amazon QuickSight.
Level: 300
2:30PM-4:30PM
Workshop: Processing and Analyzing Data in the Data Lake
In this lab, we use various tools to analyze the data in our data lake. We also look at how we can improve data governance by hashing PII data, which enables our analytic teams to aggregate profiles of the same person via the hashed data, but limits access to the actual PII data.
Level: 300
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