Kurs informasjon: BigInsights Analytics for Programmers - SPVC

This is the Self-paced Virtual version of Classroom course BigInsights Analytics for Programmers (DW652NO) and Instructor-led Online course BigInsights Analytics for Programmers (ILO) (3W652NO)

NOTE: Please do not make travel arrangements for this course. After you receive confirmation that you are enrolled, you will be sent further instructions to access the course.

This is a self-paced online course. The average amount of time to complete this course is 16 hours. Once you receive your access information, you will have 30 days to complete this course.

This course is designed to aid programmers who are working with IBM's InfoSphere BigInsights. Writing programs that extract data from unstructured text can be a daunting task. You will learn how to create annotators through the use of IBM's Annotation Query Language (AQL). Analyzing data using Apache's Hadoop requires that map/ reduce programs be written. You 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 for programming in this environment. To that end, this course will give you an overview of Apache Pig, ZooKeeper, and Map/ Reduce. One of capabilities of the BigInsights Web Console, is the ability to simplify the invocation of Hadoop applications. This course will show how to publish an application from the BigInsights development environment to a BigInsights server.

The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day. Once you have accessed the course, instructor help is available via the course forum Monday through Friday; questions will be responded to within 24 hours.

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Roadmaps:

• Streams & BigInsights

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This intermediate course is for anyone with the need to learn AQL and Jaql.

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You must complete:

• InfoSphere BigInsights Essentials or have equivalent knowledge

A programming background would be advantageous especially knowledge of SQL.

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• 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's 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
• Descript the basics of Map / Reduce programming
• Compare HBase to a Relational Database Management System
• Publish an application to a BigInsights server

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• An Introduction to Programming for BigInsights
• Annotation Query Language
• Jaql
• An Introduction to Apache Pig

• 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 3 - Create Views using Select Statements and Tables

• Unit 2 - Annotation Query Language (cont.)
  • Exercise 4 - Develop and AQL Extraction Application

• Unit 3 - Jaql
  • Exercise 5 - Using Jaql

• Unit 4 - An Introduction to Apache Pig

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