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InfoSphere BigInsights Foundation - SPVC

Adfor S.p.a.

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This training course is for those who want a foundation of IBM InfoSphere BigInsights. It will give you an overview of IBM's Big Data strategy as well as a more detailed information on Apache Hadoop. It presents concepts required by a system administrator to work with the Hadoop Distributed File System and concepts of MapReduce that are required by a developer. It gives an introduction to the scheduling capabilities of Hadoop and how to use Oozie to control workflows and use Flume to load data into HDFS. Curriculum relationship Programming for InfoSphere Streams V3 with SPL (DW720) InfoSphere Streams Administration (DW730) IBM InfoSphere BigInsights Analytics for Business Analysts (DW640) IBM InfoSphere BigInsights Analytics for Programmer (DW650) If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. Objective Describe functions and features of InfoSphere BigInsights List the capabilities of Hadoop and HDFS Administer HDFS Describe the use of MapReduce Setup a Hadoop cluster Manage job execution Explain the Oozie workflows Describe some scenarios for loading data into HDFS

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· A chi è diretto?

This intermediate training course is for those who want a foundation of IBM InfoSphere BigInsights and is designed for system administrators and developers.

· Requisiti

There are no prerequisites for this course, however, knowledge of Linux would be beneficial.


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Agenda Unit 1 - Introduction to Big Data Unit 2 - Introduction to InfoSphere BigInsights Exercise 1 - Installing BigInsights Unit 3 - Apache Hadoop and HDFS Exercise 2- Exploring Apache Hadoop Unit 4 - GPFS-FPO Unit 5 - BigInsights Web Console Exercise 3 - BigInsights Web Console Unit 6 - Introduction to MapReduce - continued Exercise 4 - MapReduce Unit 7 - Adaptive MapReduce Unit 8 - Setup and Configurations of BigInsights Clusters Exercise 5 - Hadoop Configuration Unit 9 - Overview of Oozie Exercise 6 - Scheduling with Oozie Unit 10 - Managing Job Execution Unit 11 - Moving Data into Hadoop Exercise 6 - Using Flume for Data Loading

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