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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.
Prerequisites: Working knowledge of Databases & Analytics, as well as AWS services. A laptop with an active AWS account.
9:30AM-10:00AM
Check-in
Sign in, grab a badge, & get your seat.
10:00AM-11:00AM
Introduction to AWS Lake Formation
Setting up & managing data lakes today involves a lot of complicated & time-consuming tasks. AWS Lake Formation is a new service (coming soon) that will make it easy to set up a secure data lake in days. You will be able to ingest, catalog, cleanse, transform, & secure your data. Explore how AWS Lake Formation will make it easier to combine analytic tools, like Amazon EMR, Redshift, Athena, Sagemaker, & QuickSight, on data in your data lake.
Level: 300
11:00AM-1:30PM
Working Lunch: Architecting a Serverless Data Lake
In this session, we explore how developers can design, develop, deliver, & monitor cloud applications as they take advantage of the AWS serverless platform & developer toolset. We share technical insights that developers can use to optimize their workflows & their use of cloud resources, which in turn, can improve security, scalability, & availability. We also discuss common serverless patterns used by enterprises & dive into the operational & security features used by large & mature organizations.
Level: 300
1:30PM-2:30PM
Build Your Data Lakes & Analytics Solutions
In this session, learn how to give your users safe & easy access to a central data store for diverse analytics use cases.
Level: 300
2:30PM-4:30PM
One Data Lake, Many Uses: Enable Multi-Tenant Analytics with Amazon EMR
One of the benefits of having a data lake is that the same data can be consumed by multi-tenant groups which is an efficient way to share a persistent Amazon EMR cluster. The same business data can be safely used for many different analytics & data processing needs. In this builders session, we discuss steps to make an Amazon EMR cluster multi-tenant for analytics, best practices for a multi-tenant cluster, & solving common challenges. We also address security & governance aspects of a multi-tenant Amazon EMR cluster.
Level: 300
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