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Scaling Big Data with Hadoop and Solr by Hrishikesh Karambelkar

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Chapter 1. Processing Big Data Using Hadoop and MapReduce

Traditionally computation has been processor driven. As the data grew, the industry was focused towards increasing processor speed and memory for getting better performances for computation. This gave birth to the distributed systems. In today's real world, different applications create hundreds and thousands of gigabytes of data every day. This data comes from disparate sources such as application software, sensors, social media, mobile devices, logs, and so on. Such huge data is difficult to operate upon using standard available software for data processing. This is mainly because the data size grows exponentially with time. Traditional distributed systems were not sufficient to manage ...

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