Realtime Processing with Storm
Storm is a distributed, reliable, fault-tolerant system for processing streams of data.
In this track we will introduce Storm framework, explain some design concepts and considerations, and show some real world examples to explain how to use it to process large amounts of data in real time, in a distributed environment. We will describe how we can scale this solution very easily as more data need to be processed.
We will explain all you need to know to get started with Storm and some tips on how to get your Spouts, Bolts and Topologies up and running in the cloud.
People planning to attend this session also want to see:
Gabriel Eisbruch
Mercadolibre.Com
Gabriel is a computer science student and works as an Software Architect in Mercadolibre (NASDAQ MELI) since 2007. He is tasked with researching technologies and developing projects. In the last year he has specialized in big data analysis, implementing Mercadolibre’s hadoop cluster.
Luis Darío Simonassi
MercadoLibre.Com
Darío has been working in software development for more than 10 years. Since 2004 he has specialized in large website, operations and performance. Today, Darío is the Chief Architect of MercadoLibre (NASDAQ MELI) where he leads the architecture team.
Jonathan Leibiusky
MercadoLibre.com
Jonathan has been working in software development for more than 10 years. In the last 3 years he has developed and contributed to several new and existing open source projects, including Jedis, which is being used actively by VMWare, SpringSource, etc.. Today, Jonathan is the Head of Research and Development and is tasked with researching new technologies and opening up MercadoLibre: open source, and open to the community.
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