DW652: BigInsights Analytics for Programmers

מק"ט: #3546 | משך קורס: 16 שעות אק'

This course is designed to aid programmers who are working with IBM InfoSphere BigInsights. Writing programs that extract data from unstructured text can be a daunting task. The student will learn how to create annotators through the use of IBM's Annotated Query Language (AQL). Analyzing data using Apache Hadoop requires that map / reduce programs be written. The student will learn how to use Jaql to create high level programs that are decomposed into Hadoop map / reduce programs. People familiar with the Hadoop technology are aware of other open source products that are used in this environment. This course will give the student an overview of Apache Pig, ZooKeeper, and Map / Reduce.

הקורס פעיל לקבוצות מטעם ארגונים בלבד, ניתן לשלוח פנייה רק אם מדובר בקבוצה
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מטרות

  • Describe the AQL data model
  • Use AQL to create annotators
  • List the different extractors used to create AQL views
  • Describe how Jaql is used in a BigInsights environment
  • List the semantics of the Jaql language
  • Explain how to use SQL in Jaql
  • List the Jaql core operators
  • Describe how Apache Pig can be used in a BigInsights environment
  • Describe the semantics of Pig Latin
  • Explain how ZooKeeper can be used to manage barriers or queues
  • Describe the basics of Map / Reduce programming
  • Compare HBase to a Relational Database Management System

קהל יעד

Anyone with the need to learn AQL and Jaql.

תנאי קדם

  • InfoSphere BigInsights Essentials or equivalent knowledge
  • A programming background would be advantageous especially knowledge of SQL

נושאים

Day 1

  • Unit 1 - Introduction to Programming for BigInsights
  • Unit 2 - Annotation Query Language
  • Exercise 1 - Create Views using Regular Expressions, Dictionaries, and Splits
  • Unit 2 - Annotation Query Language (cont.)
  • Exercise 2 - Create Views using Part of Speech, Blocks, and Patterns
  • Unit 2 - Annotation Query Language (cont.)
  • Exercise 2 - Create Views using Select Statements and Tables
  • Unit 2 - Annotation Query Language (cont.)
  • Exercise 4 - Develop and AQL Extraction Application

 

Day 2

  • Exercise 4 - Develop and AQL Extraction Application (continued)
  • Unit 3 - Jaql
  • Exercise 5 - Using Jaql
  • Unit 4 - An Introduction to Apache Pig
לפי יצרן: 
IBM
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