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.
Unit 1: The Basics: Full-Text Indexing and the Contains Predicate Unit 2: Matching: Fuzzy Search and Search Rules Unit 3: Search Models: Using Core Data Services and ESH_CONFIG Unit 4: API and Query Language: Using ESH_SEARCH Unit 5: User Interface: The SAPUI5 Search UI Unit 6: SAP Business Suite and SAP S/4HANA: SAP HANA Enterprise Search Unit 7: Beyond Search: SAP HANA File Processing and SAP HANA Graph