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Hadoop for Administrators

Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. In this three-days (optionally four-day) course, attendees will learn about the business benefits and use cases for Hadoop and its ecosystem; how to plan cluster deployment and growth; and how to install, maintain, monitor, troubleshoot and optimize Hadoop. They will also practice cluster bulk data load, gain familiarity with various Hadoop distributions and practice installing and managing Hadoop ecosystem tools. The course finishes off with discussion of securing cluster with Kerberos.
This class can be extended to four days with the optional addition of Cloudera/Hortonworks specialization.

Combined Hadoop for Administrators and Developers

Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. During this five-day course, attendees will learn about the business benefits and use cases for Hadoop and its ecosystem; how to plan cluster deployment and growth; and how to install, maintain, monitor, troubleshoot and optimize Hadoop. They will also practice cluster bulk data load, become familiar with various Hadoop distribution and practice installing and managing Hadoop ecosystem tools. The section will conclude with discussion of securing cluster with Kerberos.

Advanced Hadoop for Developers

Apache Hadoop is one of the most popular frameworks for processing Big Data on clusters of servers. This course delves into data management in HDFS, advanced Pig, Hive and HBase. These advanced programming techniques will be beneficial to experienced Hadoop developers.

Data Analytics with R

R is a popular open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students and covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data are also included.