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Architectural Patterns for Big Data on AWS

With an ever-increasing set of technologies to process big data, organisations often struggle to understand how to build scalable and cost-effective big data applications. This webinar will help you choose the right technology to support each stage based on key criteria including data structure, design patterns and best practices.

Learning Objectives:
• Understand key AWS big data services including Amazon S3, Amazon EMR, Amazon Kinesis and Amazon Redshift
• Learn architectural patterns for big data
• Hear best practices for building big data applications on AWS

Who Should Attend:
• Data architects, data scientists and developers

Other sessions on the AWS Big Data Webinar Day - 28 September:

10:00 - 11:00 GMT | Getting Started with Big Data on AWS
Register » https://www.brighttalk.com/webcast/9019/221047?utm_campaign=Brighttalk

12:30 - 13:30 GMT | Building Big Data Solutions with Amazon EMR and Amazon Redshift
Register » https://www.brighttalk.com/webcast/9019/221145?utm_campaign=Brighttalk

13:45 - 14:45 GMT | Deep Dive: Amazon Redshift for Big Data Analytics
Register » https://www.brighttalk.com/webcast/9019/221409?utm_campaign=Brighttalk
Recorded Sep 28 2016 52 mins
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Presented by
Ian Massingham, Chief Evangelist - Europe, Middle East & Africa (EMEA)
Presentation preview: Architectural Patterns for Big Data on AWS
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  • Title: Architectural Patterns for Big Data on AWS
  • Live at: Sep 28 2016 10:15 am
  • Presented by: Ian Massingham, Chief Evangelist - Europe, Middle East & Africa (EMEA)
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