Watson Explorer Analytical Components (v11)

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Course Details

Watson Explorer Analytical Components (v11)

Course code: O3110G

Duration: 4 Days


Prerequisite:

•    Basic knowledge of Enterprise Content Management concepts
•    Basic knowledge of the challenges in processing text
•    Knowledge of accessing enterprise resources
•    Knowledge of development using a programming/scripting language
•    Knowledge of structured/unstructured data formats

Course Description:

In this course, you will learn the core features and functionality of Watson Explorer Foundational Components. This core functionality is found in all editions of Watson Explorer (Enterprise and Advanced edition).

This course is designed to introduce the technical student to using the enterprise search functionality in creating applications using the Search Engine and Application Builder capabilities. In this course will look at configuring search collection and engine components for ingesting, converting, indexing, and querying. This course will also introduce you to the design process of creating an Application Builder 360-degree application.

This course offers hands-on labs giving students exposure to the various aspects of configuring analytics collections and creating custom annotators that can be used in solutions that will involve Watson Explorer Analytical Components functionality.

Intended Audience:

•    This is an intermediate course for System Administrators, Solution Architects/Designers, Software Architects/Engineers, and Software Developers who will deploy, manage and/or administer IBM Watson Explorer Advanced Edition (Analytical Components).

Course Outlines:

•    Understand the functional architecture of Watson Explorer Analytical Components.
•    Be able to create and configure a text analytics collection
•    Be able to do content analytics mining using the Content Analytics Miner application
•    Be able to use the Content Analytics Studio to create an annotator
•    Understand how to customize using the customization features of the Administration Console and Content Analytics Miner.
•    Be able to explain how to administer Content Analytics using the Administration Console
•    Understand the security options