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O3100G – Watson Explorer Foundational Components (v11)

Home / O3100G – Watson Explorer Foundational Components (v11)

In this course, students 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 students will look at configuring search collection and engine components for ingesting, converting, indexing, and querying. This course will also introduce students 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 components that will be used in solutions that will involve Watson Explorer Foundational Components functionality.

Course Outline:

Course Outline:

The main focus is on using the Foundational Components functionality in support of the development of students discovery, enterprise search and 360-degree solution needs.

  • Understand the technical challenges Foundational Components helps you to solve, its architecture, and what major use cases it addresses.
  • Become familiar with project, collections, and sources component capabilities along with the role they play in your enterprise discovery/search solutions
  • Become familiar with the crawling processing by configuring the crawler, converter and indexer collection component functionality
  • Become familiar with the query result configuration capability using the source, clustering, and display component functionality
  • Build an Application Builder discovery 360-degree view application using search indexed data

Course Audience & Prerequisites:

Audience:

Please refer to course overview.

Prerequisites:

  • Basic knowledge of the use of search in enterprise applications
  • Knowledge of accessing enterprise resources
  • Knowledge of XML and the usage of XSL (XSLT/XPath)
  • Knowledge of coding applications using an API framework, compiled language, or scripting language

Course Offerings:

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline:

The main focus is on using the Foundational Components functionality in support of the development of students discovery, enterprise search and 360-degree solution needs.

  • Understand the technical challenges Foundational Components helps you to solve, its architecture, and what major use cases it addresses.
  • Become familiar with project, collections, and sources component capabilities along with the role they play in your enterprise discovery/search solutions
  • Become familiar with the crawling processing by configuring the crawler, converter and indexer collection component functionality
  • Become familiar with the query result configuration capability using the source, clustering, and display component functionality
  • Build an Application Builder discovery 360-degree view application using search indexed data

Audience:

Please refer to course overview.

Prerequisites:

  • Basic knowledge of the use of search in enterprise applications
  • Knowledge of accessing enterprise resources
  • Knowledge of XML and the usage of XSL (XSLT/XPath)
  • Knowledge of coding applications using an API framework, compiled language, or scripting language

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

O3110G – Watson Explorer Analytical Components (v11)

In this course, students will learn the core features and functionality of Watson Explorer Analytical Components. This functionality is found in Watson Explorer Advanced Edition. The Advanced Edition also includes the Foundational Components functionality which is covered in a separate 4 day course (O3100). This course is designed to introduce the technical student to using the content analytics, annotator, and content mining functionality. This primary functionality is found in an Analytics collections crawling, parsing, indexing, annotating, and searching components. In this course students will look at the results of analytic collections thru the products Content Miner application. This course will also look at creating and deploying a custom annotator using Content Analytics Studio. 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.