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IBM BigInsights Text Analytics (V4) - SPVC

Course Details
Code: 2W654G-SPVC
Tuition (USD): $495.00 • Self Paced (1 day)
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Course Details
GSA (USD): $278.34 • Self Paced (1 day)
This course is available in other formats
Instructor-Led Classroom & Virtual
IBM BigInsights Text Analytics (V4) (DW654G)

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

Learn how to use IBM® BigInsights® Text Analytics, an information extraction system, to extract information from unstructured and semi-structured documents.

Using IBM BigInsights Text Analytics you can create extractors using a visual web interface. The visual extractors are then automatically translated into Annotation Query Language (AQL) rules to extract structured information from unstructured and semi-structured documents. You can apply Text Analytics to big data at rest in IBM BigInsights and big data in motion in IBM Streams.

Skills Gained

  • Understand and describe the need for text analytics
  • Understand the Annotation Query Language (AQL)
  • Describe the AQL data model
  • Navigate a Text Analytics project in the web UI
  • Import documents into a project
  • Understand the Text Analytics development process
  • Use the tooling to create and test extractors

Who Can Benefit

The course is designed for data scientists and developers who want to use Text Analytics.

Prerequisites

  • Students should be familiar with SQL, Hadoop, and the Linux file system.
  • Have taken DW601 - IBM BigInsights Overview
  • Although not required, it would also be helpful for students to take the DW644 - IBM BigInsights Bigsheets to have a better understanding of how BigSheets can work with Text Analytics. Student can attend many free courses at www.bigdatauniversity.com to acquire the necessary requirements.

Course Details

Course Outline

  • Understand and describe the need for text analytics
  • Understand the Annotation Query Language (AQL)
  • Describe the AQL data model
  • Text Analytics web tooling
  • Navigate a Text Analytics project in the web UI
  • Import documents into a project
  • Understand the Text Analytics development process
  • Use the tooling to create and test extractors