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EVENT DETAILS |
Data Analytics Week at the AWS Loft is an opportunity to learn about Amazon's broad & deep family of managed analytics services. These services provide easy, scalable, reliable, & cost-effective ways to manage your data in the cloud.
We explain the fundamentals & take a technical deep dive into Amazon Redshift data warehouse; Data Lake services including Amazon EMR, Amazon Athena, & Amazon Redshift Spectrum; Log Analytics with Amazon Elasticsearch Service; & data preparation & placement services with AWS Glue & Amazon Kinesis. You will learn how to get started, how to support applications, & how to scale.
Who should attend
Developers, engineers, architects, & systems administrators who are interested in learning about big data.
Attend if you're technical & looking to evolve your skills to build & deploy big data analytics applications quickly & easily. You'll learn a strong technical foundation on how to manage your data volume, variety, & velocity using AWS services.
To participate in the Data Analytics Week workshops, please make sure you have completed the following steps at least 24 hours in advance:
1. Check that the laptop you're bringing will allow you to access AWS SDKs, AWS Console & the AWS CLI - this means that you have no restrictions on the machine that would prevent you from making a connection to the AWS environment.
2. Confirm that your AWS account is usable with admin privileges. This should not be an AWS account from the company you work for. This should be a personal account (if you don't have one you should create one before attending the loft). AWS Credits will be provided to cover the cost of the labs.
TUE - MAR 12
VIEW FULL DAY AGENDA
9:30AM-10:00AM
Check In
10:00AM-11:00AM
AWS Databases & Analytics
11:00AM-1:30PM
Lunch + Workshop: Build Your First Big Data Application on AWS
1:30PM-2:30PM
Modernize Your Data Warehouse
2:30PM-4:30PM
Workshop: Migrate Your On-Premises Data Warehouse to Amazon Redshift with AWS DMS & AWS SCT
WED - MAR 13
VIEW FULL DAY AGENDA
9:30AM-10:00AM
Check In
10:00AM-11:00AM
Build & Govern Your Own Data Lakes with AWS Glue
11:00AM-1:30PM
Lunch + Workshop: Serverless Data Prep with AWS Glue
1:30PM-2:30PM
Analyze Your Operational & Log Data
2:30PM-4:30PM
Workshop: Search Your DynamoDB Data with Amazon Elasticsearch Service
THU - MAR 14
VIEW FULL DAY AGENDA
9:30AM-10:00AM
Check In
10:00AM-11:00AM
Analyzing Data Streams
11:00AM-1:30PM
Lunch + Workshop: Analyzing Data Streams
1:30PM-2:30PM
Build Data Engineering Platforms with Amazon EMR
2:30PM-4:30PM
Workshop: Build, Deploy, & Serve Machine-Learning Models on Streaming Data Using Amazon SageMaker, Apache Spark on Amazon EMR, & Amazon Kinesis
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