Realtime Processing with Storm

Hadoop & Beyond, Beekman / Sutton North (NY Hilton)
Average rating: ***..
(3.33, 3 ratings)

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.

Photo of Gabriel Eisbruch

Gabriel Eisbruch


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.

Photo of Luis Darío Simonassi

Luis Darío Simonassi


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.

Photo of Jonathan Leibiusky

Jonathan Leibiusky

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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