Amazon Elastic MapReduce (Amazon EMR) enables businesses, researchers, data analysts, and developers to easily and cost-effectively process big data. It utilizes Hadoop framework running on Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).Amazon Elastic MapReduce improves focus on crunching or analyzing data without having to worry about time consuming set-up, management or tuning of Hadoop clusters.
1) Amazon EMR and Hadoop vs Custom clusters of Hadoop distributions
EMR Business use cases and Cost Effectiveness (Order of magnitude)
2) Architecture and Technical overview of Amazon EMR and Hadoop
3) Advantages of running big data applications in Amazon EMR
- Bandwidth, Latency, Security, Management
Speaker: Ron Bodkin, Founder and CEO
Ron founded Think Big to help companies realize measurable value from Big Data. Previously, Ron was VP Engineering at Quantcast where he led the data science and engineer teams that pioneered the use of Hadoop and NoSQL for batch and real-time decision making. Prior to that, Ron was Founder of New Aspects, which provided enterprise consulting for Aspect-oriented programming. Ron was also Co-Founder and CTO of B2B applications provider C-Bridge, which he led to a staff of 900 service consultants and a successful IPO. Ron graduated with honors from McGill University with a B.S. in Math and Computer Science. Ron also earned his Master’s Degree in Computer Science from MIT, leaving his PhD program after presenting the idea for C-bridge and placing in the finals of the 50k Entrepreneurship Award.