| |
|
EVENT DETAILS |
To build your data lakes & analytics solution, AWS provides the most comprehensive set of services to move, store, & analyze your data. Come learn about setting up a secure data lake with AWS Lake Formation, how to architect a serverless data lake, & the steps to make an Amazon EMR cluster multi-tenant for analytics.
Who should attend
Data Platform Engineers, Developers, Architects, & SysOps Admins who are eager to learn how to deploy Data Lakes on AWS.
Must have an active AWS account & introductory knowledge of AWS. Please bring your laptop to participate in workshops.
Schedule
9:30AM-10:00AM
Check-in
Sign in, grab a badge, & get your seat.
10:00AM-10:15AM
Introduction to the AWS Loft & Data Lake Day
10:15AM-11:15AM
Building Your Data Lake on AWS
Learn about data lake concepts & architectural principals, & the tools available within AWS for building & securing a data lake. This session also includes more information on AWS Lake Formation, an upcoming service that makes it easy to setup & secure a data lake in days.
Level: 300
11:15AM-1:30PM
Working Lunch: Architecting a Serverless Data Lake
Lunch provided, 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, & cataloging the data so that it is available for querying with a variety of tools.
Level: 300
1:30PM-2:30PM
Processing & Analyzing Data in the Data Lake
In this session we will examine a number of tools & services for processing & analyzing data in your data lake, including Amazon Athena, Amazon EMR, Amazon Redshift Spectrum & Amazon QuickSight.
Level: 300
2:30PM-4:30PM
Lab: Processing & Analyzing Data in the Data Lake
In this workshop, 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
4:30PM-5:00PM
Happy Hour
5:00PM-6:00PM
Scaling Your Startup's Marketing Intelligence on an AWS Data Lake
Wei Zheng, VP of Products at Trifacta, & Manjunath Vasishta, Director of Data Science & Engineering at Malwarebytes, will discuss how startups can define new ways of managing information to accelerate & scale revenue generation. He will break down how they're using a data lake based system on AWS, in combination with a modern data preparation platform, to create an intelligent marketing pipeline.
Level: 100
6:00PM-7:00PM
Drinks + Networking
|
|
|
|
|
|
