Building Big Data Solutions with Amazon EMR and Amazon Redshift

Presented by

Rahul Pathak, Amazon EMR & Ian Meyers, Solutions Architecture Senior Manager, AWS

About this talk

Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organisations. Using a combination of Amazon EMR, a managed Hadoop framework and Amazon Redshift, a managed petabyte-scale data warehouse, organisations can effectively address many of these requirements. In this webinar, we will show how organisations are using Amazon EMR and Amazon Redshift to build more agile and scalable architectures for big data. We will look into how you can leverage Spark and Presto running on Amazon EMR, to address multiple data processing requirements. We will also share best practices and common use cases to integrate Amazon EMR and Amazon Redshift. Learning Objectives: • Best practices for building a big data architecture that includes Amazon EMR and Amazon Redshift • Understand how to use technologies such Amazon EMR, Presto and Spark to complement your data warehousing environment • Learn key use cases for Amazon EMR and Amazon Redshift Who Should Attend: • Data architects, Data management professionals, Data warehousing professionals, BI professionals 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 » 13:45 - 14:45 GMT | Deep Dive: Amazon Redshift for Big Data Analytics Register »

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