Events  Classes  Jobs 
    Sign in  
Wednesday, October 16, 2019 at 09:30 AM   Absolutely Free
Amazon AWS Loft, 525 Market St, 2nd Fl
Sign up for our awesome San Francisco Bay Area
Tech Events weekly email newsletter.
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.



Check In

Sign in, grab a badge, & get your seat.


Introduction to the AWS Loft & Data Lake Day


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


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


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


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
© 2020 GarysGuide      Terms