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. From a usage perspective, these 3 areas are distinct, but they are interrelated on a technical level and largely depend on the same foundation technology. 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 course starts with a general overview of text as a first-class data type on the SAP HANA platform. 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.
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
If your primary interest in taking this course is getting an overview of SAP HANA text analytics capabilities, you do not need access to a training system. However, we realize that many of you will be interested in completing the hands-on exercises based on the instructions in the course. We will provide therefore the necessary instructions and installation procedures in the respective units.
As announced at the SAP TechEd events Amazon Web Service offers a 50 $ voucher so that you can assign credit to your AWS account. When you have registered for the course you will get the voucher and directions how it can be redeemed in your SAP CAL account before you start running your course system.
Yolande has 20+ years of experience working as a computational linguist in natural language processing (NLP). At SAP Labs, she manages the activities of the computational linguists in the text analysis development team, and works in entity extraction for commercial companies, government space, and the healthcare domain.
Yolande will be happy to help you out if you have text analysis customization questions involving dictionaries or rule writing.
As a product owner, Bill helps lead the text analysis development for SAP HANA.
With over 30 years of experience working in enterprise software development, Bill’s specialties include database, search, and text analysis technologies. Bill has been working in his current role at SAP for 6 years.
As a member of the SAP HANA development organization, Michael and his team are responsible for text analysis functionality on the platform.
Michael’s experience in NLP development spans almost 30 years, and ranges from machine translation to software localization and information extraction. Michael is passionate about delivering high-quality natural-language software and exploring how these products can be used creatively to generate immediate customer value.
This course was held from Jan 19, 2016 through Feb 24, 2016.
10317 learners were enrolled on day 1 of the course.
When the final exam ended, this number had increased to 13785.
19219 learners enrolled.
Find out more in the certificate guidelines.
As a senior SAP HANA product manager, Anthony helps lead the text and search topics for SAP HANA. With over 20+ years of experience working in enterprise software development, Anthony has been involved in information management and discovery for the last 8 years, evangelizing data integration, data quality, and information retrieval on structured and unstructured data with customers.