IBM BigInsights Text Analytics (V4) - SPVC » zur Seminarliste
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.
Learning Journeys or Training Paths that reference this course:
Alle IBM Trainings finden in Kooperation mit unserem Partner esciris GmbH statt.
- 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
The course is designed for data scientists and developers who want to use Text Analytics.
- 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.
Das Training findet auf Deutsch statt.