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VISUAL LOGGING FRAMEWORK USING ELK STACK
(2017-12-12)
Logging is the process of storing information for future reference and audit purposes. In software applications, logging plays a very critical role as a development utility and ensures code quality. It acts as an enabler ...
AN MRQL VISUALIZER USING JSON INTEGRATION
(2017-05-08)
In today’s world where there is no limit to the amount of data being collected from IOT devices, social media platforms, and other big data applications, there is a need for systems to process them efficiently and effortlessly. ...
Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys
(Mavs Open Press, 2022)
The book includes details on how to analyze public-use data from five common national health surveys using SAS statistical software. It is an essential resource for future epidemiologists and other public health professionals! ...
MR_QP: A Scalable Approach To Query Processing on Arbitrary-Size Graphs Using The Map/Reduce Framework
(2020-06-03)
The utility and widespread use of Relational Database Management Systems(RDBMSs) comes not only from its simple, easy-to-understand data model (a relation or a set) but mainly from the ability to write non-procedural queries ...
PERFORMANCE MODELING AND RESOURCE PROVISIONING FOR DATA-INTENSIVE APPLICATIONS
(2019-12-06)
Performance evaluation and resource provisioning are two most critical factors to be considered for designers of distributed systems at modern warehouse data centers. The ever-increasing volumes of data in recent years ...
RESOURCE ALLOCATION AND CAPACITY IN WIRELESS COMMUNICATIONS AND NETWORKS
(2021-04-29)
How to allocate resources in the era of Big Data in telecommunications becomes a new issue.
Smartphone data could be a function of personality, as the smartphone supports interpersonal interaction,
and the data collected ...
Translation of Array-based Loop Programs to Optimized SQL-based Distributed Programs
(2021-12-17)
Most programs written to operate on data are usually expressed in terms of array operations in sequential loops. However, these programs do not scale to large amount of data generated by scientific experiments and industrial ...
Big Data and Journalism: How American Journalism is Adopting the Use of Big Data
(Catholic University of Colombia, 2021-02-01)
This research uses in-depth interviews with three data journalists from the Houston Chronicle and the New York Times in the United States to describe the role of data journalists, and to illustrate how and why they use big ...