Strategies and Challenges in Big Data: A Short Review

2019 ◽  
pp. 34-47
Author(s):  
D. K. Santhosh Kumar ◽  
Demian Antony D‘Mello
Keyword(s):  
Big Data ◽  
Short Review

scholarly journals An overview of big data analysis

2020 ◽  
Vol 9 (4) ◽  
pp. 1646-1653
Author(s):  
Fabio Arena ◽  
Giovanni Pau
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Customer Service ◽  
Big Data Analytics ◽  
Short Review ◽  
Big Data Analysis ◽  
Digital World ◽  
Big Data Technologies ◽  
Definition Of ◽  
Smart Cars

Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.

scholarly journals Big data in astronomy: from evolution to revolution

2019 ◽  
Vol 7 (1) ◽  
pp. 11 ◽  
Author(s):  
M. Khalil ◽  
M. Said ◽  
H. Osman ◽  
B. Ahmed ◽  
Dalia Ahmed ◽  
...  
Keyword(s):  
Black Holes ◽  
Big Data ◽  
Short Review ◽  
Massive Data ◽  
X Rays ◽  
Space Telescopes ◽  
Astronomical Images ◽  
The Universe

Big data is pushing astronomy in a new direction. Massive amounts of astronomical big data produced by the new generations of powerful instruments and simulations are exponentially gathered every day. Big data like astronomical images, infrared, microwave, ultraviolet, X-rays and gamma generated by stars, galaxies and black holes are observed by the new generations of space telescopes. It may take years to uncover the hidden signals in such data that may already hold answers to some of the fundamental questions of the universe we’re seeking. In this paper, we attempt to present a short review about the astronomical big data and how can such massive data change our understanding of the universe. 

scholarly journals Big data analytics tools a review

2018 ◽  
Vol 7 (3.3) ◽  
pp. 685
Author(s):  
Sujatha Srinivasan ◽  
T Thirumalai Kumari
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analytics ◽  
Additional Data ◽  
Big Data Analytics ◽  
Short Review ◽  
Huge Number ◽  
Learning Capabilities ◽  
Different Characteristics ◽  
Number Of Customers

Big data is the hottest trending term all over the globe and the internet. Big organizations are trying to make use of the large amounts of data collected and stored by them in big memory storages. Further large amounts of data is being produced every millisecond all over the world from users of computing devices, from satellites of all kinds, from scientific research, from governments, from big organizations that deal with huge number of customers especially financial institutions and many more. These data lie there for exploration and exploitation to gain more knowledge or rather intelligence and turning out them into wisdom for better decision making. Traditional data mining tools are not able to handle this big data. Hadoop and MapReduce are the first of the kind of tools that are being used to handle big data. Additional data mining and machine learning capabilities have been added to Hadoop and MapReduce through various plug-ins by different open source as well as vendor tools for big data analytics (BDA). Further big organizations have and are in the process of creating BDA tools most of which come with a price tag. This study gives a short review of the available BDA tools taking into consideration different characteristics of these tools. Possible solutions for existing challenges related to big data analytics are discussed.   

A Short Review on Applications of Big Data Analytics

2019 ◽  
pp. 265-278
Author(s):  
Ranajit Roy ◽  
Ankur Paul ◽  
Priya Bhimjyani ◽  
Nibhash Dey ◽  
Debankan Ganguly ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Short Review

Pollutant Identification by Selected Area Electron Diffraction

1974 ◽  
Vol 32 ◽  
pp. 532-533
Author(s):  
R. E. Ferrell ◽  
G. G. Paulson ◽  
C. W. Walker
Keyword(s):  
Thermal Treatment ◽  
Electron Diffraction ◽  
Sample Preparation ◽  
Crystal Structures ◽  
Water Samples ◽  
Environmental Samples ◽  
Short Review ◽  
Selected Area Electron Diffraction ◽  
Multiple Component

Selected area electron diffraction (SAD) has been used successfully to determine crystal structures, identify traces of minerals in rocks, and characterize the phases formed during thermal treatment of micron-sized particles. There is an increased interest in the method because it has the potential capability of identifying micron-sized pollutants in air and water samples. This paper is a short review of the theory behind SAD and a discussion of the sample preparation employed for the analysis of multiple component environmental samples.

POPDC proteins and cardiac function

2019 ◽  
Vol 47 (5) ◽  
pp. 1393-1404 ◽  
Author(s):  
Thomas Brand
Keyword(s):  
Potential Role ◽  
Striated Muscle ◽  
Short Review ◽  
Effector Proteins ◽  
Muscle Disease ◽  
Disease Genes ◽  
Protein Protein Interaction ◽  
Interaction Partners ◽  
And Function

Abstract The Popeye domain-containing gene family encodes a novel class of cAMP effector proteins in striated muscle tissue. In this short review, we first introduce the protein family and discuss their structure and function with an emphasis on their role in cyclic AMP signalling. Another focus of this review is the recently discovered role of POPDC genes as striated muscle disease genes, which have been associated with cardiac arrhythmia and muscular dystrophy. The pathological phenotypes observed in patients will be compared with phenotypes present in null and knockin mutations in zebrafish and mouse. A number of protein–protein interaction partners have been discovered and the potential role of POPDC proteins to control the subcellular localization and function of these interacting proteins will be discussed. Finally, we outline several areas, where research is urgently needed.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

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