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DW612G

InfoSphere BigInsights Foundation

Prezzo

€ 1,380.00
(Iva esclusa)

Scheda tecnica

Scarica

Giorni

2 gg

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)
Objectives:
  • 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

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

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

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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