Today, enterprises and organizations collect and analyze huge volumes of data about everything from incident messages and service reports to research documents and patent files. With SAP HANA, you can provide fast and convenient search-based access to unstructured data. SAP’s in-memory data management platform not only provides the technology for building analytical applications, but also natural language processing (NLP) components. Learn how to leverage SAP HANA’s capabilities for full-text search and application development.
This course starts with the basics on full-text indexing and search via SQL. In unit 2 we focus especially on fuzzy search and how to use “search rules” for duplicate checks and matching. Next, we’ll present the tooling to create search models, the interface to query such models, and how to use the native search UI. We’ll then explain “SAP HANA enterprise search” in the context of SAP Business Suite and SAP S/4HANA, and how it relates to and extends “native” SAP HANA search technology. Finally, we’ll talk about some adjacent technologies like SAP file processing and SAP HANA graph. Demos and hands-on exercises are provided throughout.
If your primary interest in taking this course is getting an overview of SAP HANA search 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’ll therefore provide the necessary instructions and installation procedures in the respective units.
Si vous souhaitez vous inscrire à ce cours, il n'y a pas de conditions préalables ou de limites formelles. Le cours est gratuit et ouvert à tous. Inscrivez-vous au cours openSAP et commencez-le!Inscrivez-moi maintenant
Ce cours a eu lieu du 13 sept. 2017 au 12 oct. 2017.
7695 apprenants sont actuellement inscrits.
This course was rated with 4.5 stars in average from 403 votes.
Markus Fath is a product manager for SAP HANA, focusing on “processing services” related to spatial, graph, search, text analysis, and text mining.