[Cisl-comunidade] Encontro Técnico SouJava de Abril [Cloudera Hadoop]

[Otávio Gonçalves de Santana]

[image: Inline image 2]

O Hadoop é uma plataforma distribuída feita em Java voltada para
processamento de grande massa de dados em clusters, ele foi inspirado no
MapReduce do Google. No dia 12 de abril, sábado pela manhã, a
Cloudera<http://www.cloudera.com/>fará o encontro técnico em conjunto
com o SouJava com o intuito de falar
sobre e tirar dúvida sobre essa ferramenta e muito utilizada na era do
BigData.

   - *Local:* Globalcode São Paulo <http://www.globalcode.com.br/> / Online
   - *Endereço:* Avenida Bernardino de Campos, 327, Paraíso - São Paulo -
   SP, 04004-050
   - *Data:* 12/04/2014, sábado
   - *Horário:* 9:00
   - *Inscrições:* http://goo.gl/Bm4BW8


Temas:

   1. Hadoop <http://hadoop.apache.org/>
   2. Crunch <http://crunch.apache.org/>
   3. Spark <http://spark.apache.org/>


   - *Palestra:* Introduction to Apache Hadoop - HDFS and Map/Reduce
   Fundamentals
   - *Descrição:* This talk will introduce the concept of Map/Reduce, a
   programming paradigm that enables the parallel processing of extremely
   large data sets. We'll also introduce Hadoop's implementation of
   Map/Reduce, and HDFS, the distributed file system that's built into Hadoop
   to enable Map/Reduce. Nearly all of Hadoop is implemented in Java, and this
   talk will cover some of the details of writing a Map/Reduce job in Java.
   - *Palestrante:* Aaron Myers
   - *Mini-Bio:* Aaron T. Myers (aka ATM) is a Platform Software Engineer
   at Cloudera and an Apache Hadoop Committer/PMC Member at Apache. Aaron's
   work is primarily focused on HDFS, High Availability, and Hadoop Security.
   Prior to joining Cloudera, Aaron was a Software Engineer and VP of
   Engineering at Amie Street, where he worked on all components of the
   software stack, including operations, infrastructure, and customer-facing
   feature development. Aaron holds both an Sc.B. and Sc.M. in Computer
   Science from Brown University.



   - *Palestra:* Beyond Map/Reduce: Introduction to Apache Crunch and
   Apache Spark
   - *Descrição:* Following Aaron's talk, Todd will introduce Apache Crunch
   and Apache Spark. These two projects are higher-level frameworks which
   allow the programmer to express complex distributed data processing tasks
   on Hadoop in a more concise and simple manner than writing raw MapReduce
   jobs. Additionally, Todd will introduce Spark Streaming, a processing
   system which can run data flows on real-time data as it arrives. He will
   cover some example use cases that show how Hadoop can be used in such
   applications as real-time streaming data processing, machine learning, and
   model building.
   - *Palestrante:* Todd Lipcon
   - *Mini-Bio:* Todd Lipcon is an engineer at Cloudera who works on Core
   Hadoop as well as the Cloudera Distribution for Hadoop. Todd is also active
   in other Apache projects and is always excited to hear about the
   interesting ways in which people are using Hadoop for large scale data
   analysis. Previously, Todd came to Cloudera from Amie Street, where he
   worked on infrastructure, operations, data mining, and product development.
   Prior to that, he interned at Google developing machine learning methods to
   detect credit-card fraud on AdWords and Google Checkout. Todd holds a BSc
   in Computer Science from Brown University, where he completed an honors
   thesis developing a new collaborative filtering algorithm for the Netflix
   Prize Competition.


*    Fonte:*
http://soujava.org.br/2014/03/26/encontro-tecnico-de-abril-cloudera/
-- 
Atenciosamente.

Otávio Gonçalves de Santana

blog:     http://otaviosantana.blogspot.com.br/
twitter: http://twitter.com/otaviojava
site:     http://www.otaviojava.com.br
(11)     98255-3513
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