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Wednesday, October 16, 2019 at 09:30 AM   Absolutely Free
Amazon AWS Loft, 525 Market St, 2nd Fl
 
     
 
 
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EVENT DETAILS
AWS provides the most comprehensive set of services to move, store, & analyze your data, simplifying the process of setting up a data lake with a serverless architecture.



Come learn about data lake concepts & the AWS services that enable you to build a secure & efficient data lake, including more information on AWS Lake Formation, a service that simplifies creating & managing a secure data lake. We will also cover tools & services for processing & analyzing data in your data lake, & you'll get hands on experience with a variety of related AWS services in the labs.



This event is free to attendees. Please register to secure your seat.

Who should attend

Data Platform Engineers, Developers, Architects, & 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 & Analytics, as well as AWS services.


Please bring your laptop to participate in workshops, & 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, & get your seat.

10:00AM-10:15AM

Introduction to the AWS Loft & Data Lake Day



10:15AM-11:30AM

Building Data Lakes Using AWS Lake Formation

In this session we'll talk about why data lakes are needed, core principals/patterns for data lakes, & how AWS Lake Formation can help you simplify the process & reduce the time to build out a secure, well governed data lake on AWS.

Level: 300

11:30AM-1:30PM

Lunch & Lab: Building a Data Lake with AWS Lake Formation

Enjoy lunch, courtesy of Amazon.

In this workshop, gets hands on experience with setting up a data lake on AWS & configuring security & governance. Using AWS Lake Formation, you will ingest data into your new data lake, configure column-level permissions for your users, & query data with Amazon Athena.

Level: 300

1:30PM-2:30PM

Transforming & Processing Data in your Data Lake

,In this session we'll look at best practices for optimizing your data for analytics, including the use of optimized file formats like Parquet & common partitioning strategies. We will also discuss AWS services for processing & analyzing data in your data lake, including AWS Glue, Amazon Athena, Amazon EMR, Amazon Redshift Spectrum, & Amazon QuickSight.

Level: 300

2:30PM-4:30PM

Lab: Transforming & Processing Data in Your Data Lake

In this lab, we use various tools to transform & analyze the data in our data lake. We use AWS Glue to perform ETL on one of our data sets, Amazon Athena workgroups to manage our query sizes & costs, & Amazon QuickSight to create rich visualizations from data in the data lake.

Level: 300
 
 
 
 
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