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Deep Dive: Amazon Redshift for Big Data Analytics

Analysing big data quickly and efficiently requires a data warehouse optimised to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyse big data for a fraction of the cost of traditional data warehouses. By following a few best practices, you can take advantage of Amazon Redshift’s columnar technology and parallel processing capabilities to minimize I/O and deliver high throughput and query performance. This webinar will cover techniques to load data efficiently, design optimal schemas and tune query and database performance.

Learning Objectives:
• Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
• Learn how to migrate from existing data warehouses, optimise schemas and load data efficiently
• Learn best practices for managing workload, tuning your queries and using Amazon Redshift's interleaved sorting features

Who Should Attend:
• Data Warehouse Developers, Big Data Architects, BI Managers and Data Engineers

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

11:15 - 12:15 GMT | Architectural Patterns for Big Data on AWS
Register » https://www.brighttalk.com/webcast/9019/221063?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
Recorded Sep 28 2016 60 mins
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Presented by
Ian Meyers, Sr. Mgr Solutions Architecture, AWS & Zach Christopherson, Database Engineer, AWS
Presentation preview: Deep Dive: Amazon Redshift for Big Data Analytics
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  • Title: Deep Dive: Amazon Redshift for Big Data Analytics
  • Live at: Sep 28 2016 12:45 pm
  • Presented by: Ian Meyers, Sr. Mgr Solutions Architecture, AWS & Zach Christopherson, Database Engineer, AWS
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