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DW654G

IBM BigInsights Text Analytics (V4)

Prezzo

€ 500.00
(Iva esclusa)

Scheda tecnica

Scarica

Giorni

1 gg

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.

Objectives:
  • 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

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.
  • 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
Sede Data P
Roma 21/12/2017