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Big Data Essentials

Training Architect
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Terrence Cox
A veteran of twenty years in Information Technology in a variety of roles. He has worked in development, security and infrastructure well before they merged into what we now call DevOps. He provides training in Linux, VMWare, DevOps (Ansible, Jenkins, etc) as well as containers and AWS topics.

Details

Big Data Essentials is a comprehensive introduction to the world of Big Data. Starting with the definition of Big Data, we describe the various characteristics of Big Data and its sources. Using real world examples, we highlight the growing importance of Big Data. We discuss architectural requirements and principles of Big Data infrastructures and the intersection of cloud computing with Big Data. We also provide an overview of the most popular Big Data technologies including core Hadoop, the Hadoop ecosystem (Hive, Pig, Sqoop, Flume, Kafka, Storm, Ambari, Oozie, Zookeeper), NoSQL databases and Apache Spark. We conclude this lesson with a tour of the different types of Analytics that can be performed on Big Data and various techniques and tools used.

Study Guides

Big Data Essentials Study Guide

This study guide provides comprehensive information on Big Data and its technologies.

Instructor Deck

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