Big Data Meetup – Amazon EMR and Nuviad

Target audience:
Big Data engineers, Architects, BI / Data Analysts, Data Scientists, Developers, Product Managers

Agenda:
• 17:30- 18:00 : Gathering, Pizza & Beer
• 18:00 – 1900: Best Practices for Spark on Amazon EMR (300-level), By Jonathan Fritz (https://www.linkedin.com/in/fritzjonathan/), Senior Product Manager, Amazon Web Services

Abstract:

Organizations need to perform increasingly complex analysis on data — streaming analytics, ad-hoc querying, and predictive analytics — in order to get better customer insights and actionable business intelligence. Apache Spark has recently emerged as the framework of choice to address many of these challenges. In this session, we show you how to use Apache Spark on AWS to implement and scale common big data use cases such as real-time data processing, machine learning, interactive data science, predictive analytics, and more. We talk about common architectures, best practices to quickly create Spark clusters using Amazon EMR, and ways to integrate Spark with other big data services in AWS.
Amazon EMR (https://aws.amazon.com/emr/) provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances. With Amazon EMR, you can easily Run and Scale Apache Hadoop, Spark, HBase, Presto, Hive, and other Big Data Frameworks

•19:00 – 20:00: From zero to 500k transactions per second on AWS, By Rafi Ton (https://www.linkedin.com/in/rafiton/), CEO, Nuviad

Abstract:

Learn from NUVIAD how they built a fully elastic highly scalable platform utilizing EC2 spot instances, Redshift, elastic cache, DynamoDB and many other AWS components. NUVIAD will share the methodology they used to create direct correlation between business growth and infrastructure scalability using auto scaling and advanced AWS SDK and APIs. •
Nuviad is a company focused on Making mobile data driven advertising cheaper, simpler, faster and more effective for ad agencies, networks and professional media buyers.