Internet of Things is projected to connect uniquely identifiable devices over the network to build an interactive system with high velocity and volume of data placing forth a challenge of interoperability between such devices. RDF provides a common standard for communication among devices of network and supports powerful data inference. The paper addresses the challenge of handling huge sensor data interactively using RDF. The experiment includes various RDF storage mechanisms such as triple store, property table, vertically and horizontally partitioned table, column store, and data aware hybrid storage.

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The report on the global Internet of Things (IoT) Data Management market is a complete overview of the market, covering various aspects product definition, segmentation based on various parameters, and the prevailing vendor landscape. It compiles in-depth information and research methodologies. It is also combined with relevant charts and tables to enable readers to get a better perspective of this global market.

The global IoT data management market size is expected to grow from USD 27.54 Billion in 2017 to USD 66.44 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of +19%.

Top Key Venders of Market:

International Business Machines (IBM), PTC, Teradata Corporation, Dell Technologies, Cisco Systems, SAS Institute, Hewlett Packard Enterprise, Fujitsu Limited, Oracle Corporation, Google, SAP

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Based on topography, the Global Internet of Things (IoT) Data Management Market is studied for key provincial markets concentrating on the particular topographical trends and statistics, and by this means distributing market size and forecast values. The Internet of Things (IoT) Data Management Market based on regional organization is studied for North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa markets. Bounded by these, the North America, Europe, and Asia-Pacific market are studied for top country-level markets.

The Internet of Things (IoT) Data Management industry in each individual country market is studied based on factors such as per capita income, the populace, GDP, the status of substructure, acquiring power parity, etc. Technology advancement, industry perception, end-user preference, and similar such grounds are also considered while considering the market for Internet of Things (IoT) Data Management Market. The market conjectures are provided for the period, along with equivalent compounded annual growth rates (CAGRs) for the prediction period.

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Table of Content:

Global Internet of Things (IoT) Data Management Market Research Report 2018-2023

Chapter 1: Global Internet of Things (IoT) Data Management Overview
Chapter 2: Global Economic Impact
Chapter 3: Competition by Manufacturer
Chapter 4: Production, Revenue (Value) by Region (2018-2023)
Chapter 5: Supply (Production), Consumption, Export, Import by Regions (2018-2023)
Chapter 6: Production, Revenue (Value), Price Trend by Type
Chapter 7: Analysis by Application
Chapter 8: Manufacturing Cost Analysis
Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10: Marketing Strategy Analysis, Distributors/Traders
Chapter 11: Market Effect Factors Analysis
Chapter 12: Market Forecast (2018-2023)
Chapter 13: Appendix

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