At a glance
Overview
Data is at the forefront of every decision that an organization makes. Leveraging the first party data that you own might not be enough to get deeper level insights that you are looking for. Augmenting your data with third-party data can further enhance the insights you can gain to help achieve your business outcomes.
AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. In this session, you will learn how to consume and build feature rich data pipelines using third-party data from AWS Data Exchange alongside AWS's Analytics suite.
Presented by: AWS Data Exchange Solution Architects and AWS Analytics Specialists
To view additional upcoming workshops, visit our Activation Day page.
On-demand webinar
On-demand webinar
On-demand webinar
The live webinar took place on Tue, June 14, but the on-demand recording is now available. You can register to watch the recording now.
Agenda
- Hour 1: AWS Data Exchange overview and demos (including AWS Data Exchange for Amazon Redshift and APIs)
- Hour 2: Hands-on lab on how to subscribe to a data product and export data
- Hour 3: AWS Glue Catalog and Amazon Athena overview and demo
- Hour 4: Amazon SageMaker Notebooks overview and demo
Key takeaways
- Understand the important concepts of AWS Data Exchange
- Subscribe to third-party data on AWS Data Exchange and export data
- Learn how to transform and query data with AWS Glue and Amazon Athena
- Learn how to visualize the third-party data using Jupyter Notebooks
Speakers
The name of Speaker 1. You can have up to 24 speakers. Unused tokens should be deleted.
The position, company of Speaker 1. You can have up to 24 speakers. Unused tokens should be deleted.
The name of Speaker 2. You can have up to 24 speakers. Unused tokens should be deleted.
The position, company of Speaker 2. You can have up to 24 speakers. Unused tokens should be deleted.
The name of Speaker 3. You can have up to 24 speakers. Unused tokens should be deleted.
The position, company of Speaker 3. You can have up to 24 speakers. Unused tokens should be deleted.
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Additional info
Pre-requisites to watch
- Have an AWS account with Administrator privileges
- You will receive AWS credits to cover potential costs for the lab