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.
Watch this webinar, to 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
To view additional upcoming workshops, visit our Activation Day page: https://aws.amazon.com/data-exchange/activation-days
Date & time
Date & time
Date & time
1-3 descriptive, relevant, and short sentences.
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 DataBrew overview and demos
- Hour 4: Amazon QuickSight overview and demos
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 profile and transform the third-party data using AWS GlueDataBrew
- Learn how to visualize the third-party data using Amazon QuickSight
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
Details
Pre-requisites to watch
- Have an AWS account with Administrator privileges
- You will receive AWS credits to cover potential costs for the lab.
- These Administrative privileges are needed in two regions: us-east-1 (N. Virginia) and eu-west-2 (London) regions.