With SAP HANA platform, you can gain real insights from your unstructured textual data. The platform provides search, text analysis, and text mining functionality for unstructured text sources. Learn how full natural-language processing capabilities support linguistic analysis and entity and relationship extraction for your enterprise in-memory data. In addition, you will apply statistical algorithms that enable you to detect patterns in large document collections, including key term identification and document categorization. This is the first course in our new SAP HANA Core Knowledge series that provides insight into special features on the SAP HANA platform.

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It then focuses on two SAP HANA database components: text analysis and text mining. These components comprise a suite of linguistic, statistical, and machine learning capabilities that model and structure the information content of textual sources in multiple languages. Demos and hands-on exercises are provided throughout. This is the first course in our new SAP HANA Core Knowledge Series, which will give you an insight into some of the special features of the SAP HANA platform.

Course Content

Week 1: Overview: Text in SAP HANA Platform

Week 2: Text Analysis: Entity Extraction

Week 3: Text Analysis: Relationship Extraction

Week 4: Text Mining

Week 5: Final Exam

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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