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Big Data Made Easy
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Table of Contents

* The Problem with Data* Storing and Configuring Data with Hadoop, Yarn, and ZooKeeper* Collecting Data with Nutch and Solr* Processing Data Map Reduce* Scheduling Using Oozie* Moving Data with Sqoop and Avro* Monitoring the System with Chukwa, Ambari, and Hue* Analyzing and Querying Data with Hive and MongoDB * Reporting with Hadoop and Other Software* Testing with Big Top* Hadoop Present and Future

About the Author

Mike Frampton has been in the IT industry since 1990, working in many roles (tester, developer, support, QA), and in many sectors ( telecoms, banking, energy, insurance). He has also worked for major corporations and banks, including IBM, HP, and JPMorgan Chase. The owner of Semtech Solutions, an IT/Big Data consultancy, Mike currently lives by the beach in Paraparaumu, New Zealand, with his wife and son.

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