Best Practices for Processing Managed Hadoop Workloads

Best Practices for Processing Managed Hadoop Workloads

Today's companies want to decrease their datacenter footprint and improve the time-to-value for their analytical data. On-premises Hadoop clusters have significant operational constraints and companies desire to transform the way their real-time event data is ingested, processed and served to provide meaningful business predictions and facilitate accurate decision making. In this session we will provide a quick overview of S3, EMR, and EC2 Spot and detail how they can be used in combination for a data lake initiative that processes data in real time for actionable business insights while also lowering cost.

When: September 13 | 9:00 AM - 9:40 AM PT | 12:00 PM - 12:40 PM ET

Learning Objectives:
• Learn how to use Amazon EMR for easy, fast, and cost-effective processing of vast amounts of data across dynamically scalable Amazon EC2 instances.
• Learn how using EC2 Spot can significantly reduce the cost of running your clusters.
• Learn how Amazon EMR Instance Fleets can make it easier to quickly obtain and maintain your desired capacity for your clusters.

Who Should Attend: Technical Decision Makers, Data Engineers, Big Data Developers

Speakers: Chad Schmutzer, Specialist Solutions Architect - EC2 Spot

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