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Hadoop & Ecosystem - An Overview

by on Dec 13, 2012

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Data volumes continue to rise rapidly: structured data, unstructured data, social data, mobile data, log data - just about everything! Hadoop and its ecosystem has provided us with a viable approach ...

Data volumes continue to rise rapidly: structured data, unstructured data, social data, mobile data, log data - just about everything! Hadoop and its ecosystem has provided us with a viable approach for data storage, management, analytics and insights. By now any techie knows about Hadoop and its basic concepts. In this session, we will provide a quick overview of Hadoop, HDFS and MapReduce. Further, we will explore the entire Hadoop ecosystem covering data ingestion, query languages, cluster management, machine learning, job schedulers, monitoring and integrations with existing tools and cloud platforms.

This session will delve into the larger Hadoop ecosystem. We will take a closer look at the tools and techniques available for unlocking the value in your data!

The audience for the talk was uninitiated with Hadoop. The idea of this talk was to move beyond "Hadoop = MapReduce + HDFS" and talk about the larger ecosystem and how it can help you solve your Big Data problems.

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