scholarly journals BIGDATA AND ITS APPLICATIONS

2021 ◽  
pp. 288-297
Keyword(s):  
Big Data ◽  
Cost Reduction ◽  
Database Systems ◽  
Computing Systems ◽  
Digital Era ◽  
Phone Calls ◽  
Relational Database Systems ◽  
Targeted Marketing ◽  
Size Data ◽  
Game Changer

Technology has changed a lot in this digital era. Earlier we had landline phones but now wehave Smartphones, Laptops and Tablets that are making our life smarter. We were usingbulky desktops for processing huge amounts of data, we were using floppies and hard disksto store the data earlier. Now we can store data in the cloud. Due to the enhancement oftechnologyweweregeneratingalotofdata,forexampleeachsmartphoneuserapproximately generates 40 Exabyte’s of data every month in the form of texts, emails,phone calls, videos, photos, searches, music, etc., if this number is multiplied by 5 billionsmartphone users, that is a large amount. Traditional computing systems cannot handle thislarge amount of data. You have no idea about how much data you are generating in eachminute.Butthechallengingparthereisthatthedataisnotpresentinastructuredmannerand it is huge in size. Data is being generated in millions of ways and it is one of the biggestfactors for the evolution of Big Data. With the exponential growth of the data, people startedto store it in relational database systems. But with the advancements in the internet anddigitalization, they are insufficient. In order to overcome this, big data came into the picture.This Big Data.Provides a new set of tools and technologies to store a large amount ofunstructured data. Industryinfluencers,academicians,and other prominent stakeholders agree that Big Datahas become a big game-changer in most industries. The primary goal for most organizationsis to enhance customer experience, cost reduction, better-targeted marketing, and makingexistingprocessesmoreefficient.Inthispaper,welookintothevariousapplicationsthatBig Data offers to the industries, Industry-specific challenges that these industries face, andhow Big Data solves these challenges.

Adapting Big Data Ecosystem for Landscape of Real World Applications

2019 ◽  
pp. 1-14
Author(s):  
Jyotsna Talreja Wassan
Keyword(s):  
Big Data ◽  
Online Education ◽  
Social Networking ◽  
Health Management ◽  
Database Systems ◽  
Internet Age ◽  
Heterogeneous Datasets ◽  
The World ◽  
Relational Database Systems ◽  
Data Ecosystem

Big data is revolutionizing the world in the internet age. The wide variety of areas like online businesses, electronic health management, social networking, demographics, geographic information systems, online education, etc. are gaining insight from big data principles. Big data is comprised of heterogeneous datasets which are too large to be handled by traditional relational database systems. An important reason for explosion of interest in big data is that it has become cheap to store volumes of data and there is a major rise in computation capacity. This chapter gives an overview of big data ecosystems comprising various big data platforms useful in today's competitive world.

Adapting Big Data Ecosystem for Landscape of Real World Applications

2018 ◽  
pp. 326-337
Author(s):  
Jyotsna Talreja Wassan
Keyword(s):  
Big Data ◽  
Online Education ◽  
Social Networking ◽  
Real World ◽  
Health Management ◽  
Database Systems ◽  
Geographic Information ◽  
Heterogeneous Datasets ◽  
Relational Database Systems ◽  
Data Ecosystem

Big data is revolutionizing world in the age of Internet. The wide variety of areas like online businesses, electronic health management, social networking, demographics, geographic information systems, online education etc. are gaining insight from big data principles. Big data is comprised of heterogeneous datasets which are too large to be handled by traditional relational database systems. An important reason for explosion of interest in big data is that it has become cheap to store volumes of data and there is a major rise in computation capacity. This article aims at giving an overview of Big Data Ecosystem comprising various big data platforms useful in today's competitive world.

scholarly journals The Influence of the Digital Supply Chain on Operational Performance: A Study of the Food and Beverage Industry in Indonesia

2021 ◽  
Vol 13 (9) ◽  
pp. 5109
Author(s):  
Mohammad Agung Saryatmo ◽  
Vatcharapol Sukhotu
Keyword(s):  
Supply Chain ◽  
Cost Reduction ◽  
Manufacturing Industry ◽  
Operational Performance ◽  
Quantitative Methodology ◽  
Chain Management ◽  
Digital Era ◽  
Beverage Industry ◽  
Food And Beverage Industry ◽  
Food And Beverage

In this rapidly developing digital era, digital transformations take place within every industry, and they have effects on the management of the supply chains. The aim of this study is to delve into the influence of the digital supply chain on the quality, productivity, and cost reduction aspects of operational performance. This study relies on quantitative methodology and data collected from the food and beverage industry of Indonesia. Data from a survey comprising a total of 209 responses were selected for investigation. PLS-SEM was used to perform the analysis. The investigation reveals that the digital supply chain has significant effects on operational performance in terms of quality, productivity, and cost reduction performance. This study contributes to the understanding of supply chain management by addressing the knowledge gap associated with the digital supply chain. In particular, it has concentrated on the hitherto unresearched effect of operational performance in the context of the Indonesian manufacturing industry.

scholarly journals The limits of computation: A philosophical critique of contemporary Big Data research

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171881184 ◽  
Author(s):  
Petter Törnberg ◽  
Anton Törnberg
Keyword(s):  
Big Data ◽  
Social Life ◽  
Quantitative Methods ◽  
Qualitative Change ◽  
Philosophical Discussion ◽  
Philosophical Critique ◽  
Social Phenomena ◽  
Social Patterns ◽  
Digital Era

This paper reviews the contemporary discussion on the epistemological and ontological effects of Big Data within social science, observing an increased focus on relationality and complexity, and a tendency to naturalize social phenomena. The epistemic limits of this emerging computational paradigm are outlined through a comparison with the discussions in the early days of digitalization, when digital technology was primarily seen through the lens of dematerialization, and as part of the larger processes of “postmodernity”. Since then, the online landscape has become increasingly centralized, and the “liquidity” of dematerialized technology has come to empower online platforms in shaping the conditions for human behavior. This contrast between the contemporary epistemological currents and the previous philosophical discussions brings to the fore contradictions within the study of digital social life: While qualitative change has become increasingly dominant, the focus has gone towards quantitative methods; while the platforms have become empowered to shape social behavior, the focus has gone from social context to naturalizing social patterns; while meaning is increasingly contested and fragmented, the role of hermeneutics has diminished; while platforms have become power hubs pursuing their interests through sophisticated data manipulation, the data they provide is increasingly trusted to hold the keys to understanding social life. These contradictions, we argue, are partially the result of a lack of philosophical discussion on the nature of social reality in the digital era; only from a firm metatheoretical perspective can we avoid forgetting the reality of the system under study as we are affected by the powerful social life of Big Data.

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