InfoSphere BigInsights Foundation

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A Milano

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Informazione importanti

  • Corso
  • Milano
Descrizione

Obiettivi  

Informazione importanti
Sedi

Dove e quando

Inizio Luogo
Consultare
Milano
Via Valtellina, 63, 20124, Milano, Italia
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· Requisiti

Prerequisiti

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

Cosa impari in questo corso?

Target del corso

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

Programma

Contenuti del corso

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)

Contenuti dettagliati del corso

Day 1

  • 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
Day 2
  • 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
Day 3
  • 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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