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Keyword: Nosql
Data Stream Summary in Big Data Context: Challenges and Opportunities
With the advent of Big Data, we are witnessing a rapid and varied production of huge amounts of sequential data that can have multiple dimensions, we speak of data streams. The characteristics of these data streams make their processing and storage very difficult and at the same time reduce the possibilities of querying them a…
Read More Categorization of RDF Data Management Systems
The wide acceptance of the semantic web language RDF for ontologies creation in various application fields has led to the emergence of numerous RDF data processing solutions, the so-called triplestores, for the storage of RDF data and its querying using the RDF query language SPARQL. Such solutions are however developed under various perspectives and on…
Read More ISR Data Processing in Military Operations
This paper provides an overview of Intelligence, Surveillance, and Reconnaissance (ISR) data with respect on NATO standards and recommendations; further presents methods, tools, and experiences in ISR data processing in military operations. The steps of the Intelligence cycle and disciplines Business Intelligence (BI), Data Warehousing, Data Mining, and Big Data are presented in the introduction.…
Read More Modeling and Transformation from Temporal Object Relational Database into Mongodb: Rules
With such a big volume of data growing tremendously every day, and the storage of important volume of data becoming increasingly more flexible, NoSQL(Not only SQL or Non-Relational ) database are designed to store a large amount of information and are growing for big data systems in web analytics. It an approach does not require…
Read More Relational Databases Versus HBase: An Experimental Evaluation
Relational database management systems (RDBMS) have been imposed for more than three decades as a facto standard for data storage, management, and analysis. They have a good reputation by supporting ACID properties (Atomicity, Consistency, Isolation, and Durability) and by adopting the SQL language which has become a standardized language. However, despite their power, RDBMS have…
Read More Operational Efficiencies and Simulated Performance of Big Data Analytics Platform over Billions of Patient Records of a Hospital System
Big Data Analytics (BDA) is important to utilize data from hospital systems to reduce healthcare costs. BDA enable queries of large volumes of patient data in an interactively dynamic way for healthcare. The study objective was high performance establishment of interactive BDA platform of hospital system. A Hadoop/MapReduce framework was established at University of Victoria…
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