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What is Schema on Write

Handbook of Research on Big Data Storage and Visualization Techniques
Data analysis strategy that new data is transferred to a structured predefined format.
Published in Chapter:
Overview of Big Data and Its Visualization
Richard S. Segall (Arkansas State University, USA) and Gao Niu (Bryant University, USA)
DOI: 10.4018/978-1-5225-3142-5.ch001
Abstract
Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This chapter discusses what Big Data is and its characteristics, and how this information revolution of Big Data is transforming our lives and the new technology and methodologies that have been developed to process data of these huge dimensionalities. This chapter discusses the components of the Big Data stack interface, categories of Big Data analytics software and platforms, descriptions of the top 20 Big Data analytics software. Big Data visualization techniques are discussed with real data from fatality analysis reporting system (FARS) managed by National Highway Traffic Safety Administration (NHTSA) of the United States Department of Transportation. Big Data web-based visualization software are discussed that are both JavaScript-based and user-interface-based. This chapter also discusses the challenges and opportunities of using Big Data and presents a flow diagram of the 30 chapters within this handbook.
Full Text Chapter Download: US $37.50 Add to Cart
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What Is Open Source Software (OSS) and What Is Big Data?
Data analysis strategy that new data is transferred to a structured predefined format.
Full Text Chapter Download: US $37.50 Add to Cart
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