IBM BigInsights Text Analytics (V4) - SPVC - 2W654G

Description

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.

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

Aim

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

Participant requirements

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.

Participant

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