Deep Dive: Amazon Redshift for Big Data Analytics

Presented by

Ian Meyers, Sr. Mgr Solutions Architecture, AWS & Zach Christopherson, Database Engineer, AWS

About this talk

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 » 11:15 - 12:15 GMT | Architectural Patterns for Big Data on AWS Register » 12:30 - 13:30 GMT | Building Big Data Solutions with Amazon EMR and Amazon Redshift Register »

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