Hadoop Fundamentals I

BigData represents a new and fast growing era in data exploration and utilization. These course materials cover Hadoop fundamentals. Hadoop is an open-source implementation of frameworks for reliable, scalable, distributed computing and data storage which can be used for managing Big Data. Course modules cover Hadoop architecture, HDFS, MapReduce, Querying Data (Pig, Hive, JAQL) and Moving Data (Flume). Hands-on labs, using IBM BigInsights, are included in the course. BigInsights, which is based on Hadoop, is available as a virtual image. The course is approximately 8 hours of course content, including time for the labs.

Event highlights: Gain hands-on experience with Hadoop technologies and it’s use with IBM Big Insights to address business needs of today.

Prerequisites: Basic knowledge of Linux operating systems (64-bit), Basic knowledge of Java, Basic knowledge of database concepts and SQL; But not necessary

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