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22-character Vidyard video ID

2022-08-16

1

9:00

24-hour H:MM format in Greenwich Mean Time (example: `9:00` for 9 am GMT and `16:00` for 4 pm GMT)

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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 webinar, 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

To view additional upcoming workshops, visit our Activation Day page: https://aws.amazon.com/data-exchange/activation-days

Date & time

Date
Time
  •  

Date & time

North America
  •  
Europe & Africa
  •  
Asia-Pacific
  •  

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 join

  • 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.

Who should attend

CTOs/VPs/directors
Data architects
Data analysts
Business analysts
Data scientist/data strategists
Data engineers

Register now

Register now