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.
This course was held from Sep 13, 2017 through Oct 12, 2017.
5862 learners were enrolled on day 1 of the course.
When the final exam ended, this number had increased to 7084.
9553 learners enrolled.
This course was rated with 4.5 stars in average from 403 votes.
Find out more in the certificate guidelines.
Markus Fath is a development manager in the SAP HANA platform organization, working on graph & hierarchies and spatial.