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Analytics And Big Data

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last update : 02/01/2017

Big Data and Hadoop Developer

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Big enterprises around the world have found Hadoop to be a game changer in their Big Data management, and as more companies embrace this powerful technology the demand for Hadoop Developers is also growing. By learning how to harness the power of Hadoop 2.0 to manipulate, analyse and perform computations on Big Data, you will be paving the way for an enriching and financially rewarding career as an expert Hadoop developer.

 

Who can attend?

- Architects and developers who design, develop and maintain Hadoop-based solutions.

-Data Analysts, BI Analysts, BI Developers,  SAS Developers and related profiles who analyze Big Data in Hadoop environment.

-Consultants who are actively involved in a Hadoop Project.

-Experienced Java software engineers who need to understand and develop Java Map Reduce applications for Hadoop 2.0.

Complete course outline:

Key Take aways: From the course:

 

-Understand Big Data and the various types of data stored in Hadoop.

- Understand the fundamentals of MapReduce, Hadoop Distributed File System (HDFS), YARN, and how to write MapReduce code.

-Learn best practices and considerations for Hadoop development, debugging techniques and implementation of workflows and common algorithms.

-Learn how to leverage Hadoop frameworks like ApachePig™, ApacheHive™, Sqoop, Flume, Oozie and other projects from the Apache Hadoop Ecosystem.

-Understand optimal hardware configurations and network considerations for building out, maintaining and monitoring your Hadoop cluster.

-Learn advanced Hadoop API topics required for real-world data analysis.

-Understand the path to ROI with Hadoop.

 

From the workshop:

-High quality training from an industry expert

-24 hours of comprehensive training

-Earn 24 PDUs

-Course Completion Certificates

-50% interactive and hands-on training exercises using HDFS, Pig, Hive, HBase, key MapReduce components and features, and more.

 

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Who can attend?

- Architects and developers who design, develop and maintain Hadoop-based solutions.

-Data Analysts, BI Analysts, BI Developers,  SAS Developers and related profiles who analyze Big Data in Hadoop environment.

-Consultants who are actively involved in a Hadoop Project.

-Experienced Java software engineers who need to understand and develop Java Map Reduce applications for Hadoop 2.0.

 

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