Real-Time Big Data Processing and Analytics: Concepts, Technologies, and Domains

Abstract

In the digital era, data is one of the most important assets since it conceals valuable information. Developers of data-intensive systems have new challenges at each level of streaming, storing, and processing large quantities of data in a variety of forms and speeds. Obtaining useful information at the proper time and place is also crucial. Since the value of information is inversely proportional to time, real-time data processing and analytics are receiving more attention. Due to the importance of real-time data processing and analytics, this study focuses on real-time data processing concepts and terminology, popular technologies used in real-time data processing and analytics, popular NoSQL storage technologies used in real-time data processing, and real-time data processing application areas. The purpose of this paper is to provide researchers of real-time analysis and developers of data-intensive systems with a comparative perspective on real-time data processing by highlighting the key characteristics of real-time data processing technologies, NoSQL storage technologies, their application domains, and selected examples from previous studies.

Wearable with integrated piezoelectric energy harvester for geolocation of people with Alzheimer's

“…The first button "select Bluetooth device" will display a selection list of Bluetooth devices, in this case, the wearable of this article (it should be noted that only Bluetooth is used to enter patient data since long-distance communications are used for monitoring). The second button "select center point" opens another screen (screen 2) that will allow to select a location on the map by pointing to this point using markers, the red marker represents the current location of the user that is extracted from Google Firebase [31] to the phone mobile and the blue marker represents the selected center of the safe circular zone, while this center is selected, the latitude and longitude of said point is observed, which with the "Confirm Location" button saves this data and returns to screen 1. The third "select radius" button will display another selection list of four numbers (100, 200, 500, and 1,000) these numbers being the radius in meters of the safe circular zone.…”

A Comparative Perspective on Technologies of Big Data Value Chain

“…The strengths and weaknesses of the presented big data technologies are discussed. In [87], big data processing and storage systems utilized in real-time data processing are presented. Popular real-time data processing technologies and NoSQL data storage systems used in real-time data processing is provided.…”