SAP Cloud Platform Internet of Things in IoT Analytics

SAP HANA offers platform for legacy software, third-party software, and SAP software and is the best platform for develping and deploying real-time applications, machine learning applications and predictive analytics. It perform business operations and data analysis in in a very short period of time and untangle data center operations by integrating all data into a single source, and lay the groundwork for reimagining business models.

Feature:

Spatial processing

The SAP HANA platform offers native support for spatial data and spatial functions. It includes base maps with political boundaries and points of interest to accelerate development of modern, location aware business applications. Third-party spatial solutions can also use SAP HANA as a high-performance, in-memory data store for managing and processing spatial data. SAP HANA spatial services, available in the cloud, integrate with custom business applications.

Graph

It store and process highly connected data using a dynamic data model called a property graph. It can also combine graph data processing with additional advanced analytical processing functionality in SAP HANA, such as text, predictive, and spatial analytics. The graph viewer delivered as part of SAP HANA helps visualize and explore graph data.

Document store

It can build enterprise-class, non-SQL (NoSQL) applications with the support to store schema-flexible data in JSON format within SAP HANA in compliance with ACID. Fully integrated with SAP HANA, the document store supports all administrative operations of SAP HANA as well as complex joins across data in SAP HANA tables and the document store. It can combine JSON data with structured data and query or ana-lyze it using SQL.

Search

It uses SQL to locate text quickly across multiple columns and binary files, such as Adobe PDF files, HTML, RTF, MSG, Microsoft Office documents, and flat text files. SAP HANA that run both full-text and advanced fuzzy searches for numerous languages.

Text analytics

Text analytics in SAP HANA includes advanced natural-language processing and entity extraction capabilities such as segmentation, stemming, tagging, and sentiment analysis. SAP HANA also supports algorithms for text mining and sentiment analytics to derive relevant keywords from documents, even if written in character sets other than Latin, such as Kanji.

Streaming analytics

It can capture and process streams of events from many sources in real time using the highly scalable smart data streaming engine within SAP HANA. SAP HANA supports an SQL-like processing language to combine streams with contextual data and analyze the result on the fly. To improve scalability, SAP HANA comes with a “streaming lite”component that can deploy on the streaming data source to analyze and filter streams before they reach SAP HANA. 

Series data

Internet of Things data and data from sensors arrive in a time-series format. SAP HANA processes time-series data and other kinds of series data efficiently to discover trends over a period.