Big Data Analytics: A Perspective View

Now the world is moving digitalized. To bring enhancement in modern world, we are ongoing on in a new concept known as the big data. Almost eighty to ninety percent of businesses that are running today seek a new and better approach to remain competitive and profitable. To do this, big data leads them in a path that stays ahead of the curves. Thus big data is an approach that helps people to make their life more comfortable, profitable and compatible one. Big data plays a major role in planning important strategic and operational plans and implement them. Apart from business people also use big data for many other reasons. Many people browse, collaborate, and shop for goods and services online, big data gives them hand to perform all these tasks. Not only consumer's even business to business transaction takes place in this platform. This paper totally discusses about big data analysis, its history, various definitions, background and finally its applications. The platform which helps people in almost all means of their livelihood and makes their life comfortable is considered to be the best one. In such consideration big data is one of the best one in all means.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020

Big data and Data Mining are co-related to each other and also emphasize the phenomena of extracting and analysis useful data from considerable database. The concept of Big Data analytics plays a very significant role in several fields, such as Data Mining, Education and Training, cloud computing, E-commerce, healthcare and life science, Banking and Agriculture. Big data Analytic is a technique for looking at big set of data to expose hidden patterns. A large amount of data is continuously generated every day using modern information system and technologies. As a result this paper provides a platform to investigate applications of big data at various stages. In future, it come forward to be a required for an analytical assessment of new developments in the big data technology. In addition, it also explores a new and suitable outlook for researchers to expand the solution, based on the literature survey, challenges, new ideas and open research issues.

In this modern era of computer's, a large amount of data is available to decision makers. Big data doesn't only refer to datasets that are big, but also high in velocity and variety, which is hard to handle using traditional tools and techniques. Due to speedy growth of such data, some ways are necessary to found to get important knowledge and values from these data sets. Also, decision makers need to gain some valuable vision from such big and continuously changing data, ranging from daily transactions to customer interactions and data of social network. Such vision can be given using Big Data Analytics, which is the application of Advanced Analytics Technique on big data. This paper aims to study some of the dissimilar analytics methods and tools which can be applied to big data, as well as the charge provided by the applications of big data analytics in different decision domain.

INTERNATIONAL JOURNAL OF COMPUTER APPLICATION, 2018

In this paper we discussed an overview of big data analytics and what is the need of that. Big data is the data set which is big in volume, variety, velocity, value and varacity.Big data is mostly useful for the industries and in marketing for handling the larger datasets and management. We studied the different tools which is helpful for big data.It arises the many challenges and opportunities for the researchers and the developers.Big data is randomly changes our economic environment.

IRJET, 2022

Big Data is a term used to describe vast assemblages of data sets that are replete with knowledge. The important element in the market nowadays is extremely big data sets that can be computationally analyzed to uncover patterns, trends, and associations from unstructured data into structured ones to discover a solution for a firm. Despite the significant operational and strategic effects, little empirical study has been done to determine the business value of big data. With the goal of creating usable information from big data, big data analytics is fast becoming a popular method that many organizations are adopting. This paper offers a thorough examination of big data, including its characteristics, its applications, and the big data analytics techniques employed by various businesses to aid in decisionmaking. The paper also discusses various big data tools currently in use.

We have entered the Big Data era. Organizations are capturing, storing, and analyzing data that has high volume, velocity, and variety and comes from a variety of new sources, including social media, machines, log files, video, text, image, RFID, and GPS. These sources have strained the capabilities of traditional relational database management systems and spawned a host of new technologies, approaches, and platforms. The potential value of Big Data analytics is great and is clearly established by a growing number of studies. There are keys to success with Big Data analytics, including a clear business need, strong committed sponsorship, alignment between the business and IT strategies, a fact based decision making culture, a strong data infrastructure, the right analytical tools, and people skilled in the use of analytics. Because of the paradigm shift in the kinds of data being analyzed and how this data is used, Big Data can be considered to be a new, 4th generation of decision support data management. Though the business value from Big Data is great, especially for online companies like Google and Facebook, how it is being used is raising significant privacy concerns.

Abstract: In today era of world data is very important for every field, many organizations and researchers. Companies having overwhelming volume of data for transactional processing, storing analyzing and to manage. The management, analysis, prediction of big data are becoming more accurate with the big data tools. This paper started with the introduction and summarizes the different issues and challenges with big data when different companies try to tackle with big data. Keywords: Big Data, Issues, Challenges, Privacy. Title: A Review of Issues and Challenges with Big Data Author: Bharti kalra, Suryakant Yadav, Dr. D.K. Chauhan International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online), ISSN 2348-1196 (print) Research Publish Journals

Big Data is relatively a new concept which refers to data sets whose size is beyond the ability of typical database software tools to capture, store, manage and analyze. The accumulated huge amount of data that previously of no significant importance or value have been put into maximum use due to the availability of newly designed Big Data tools that surpass earlier available data mining tools. Big Data is now of tremendous importance to organizations and data mining researchers because better results are gotten from larger volume of data. Predictions and Analysis of business are becoming more accurate and interesting with the advent of Big Data Tools. The scale and scope of changes that Big Data are bringing about are at an inflection point, set to expand greatly, as a series of technology trends accelerate and courage. In this paper, we introduced readers to the concept of Big Data, the various sources of data for Big Data. Some of the advantages and applications that have been successfully implemented using Big Data tools. Some of the challenges of Big Data were also discussed with special reference to the most crucial of these challenges- the personal privacy issue which if not well managed could bring an individual or an entire organization using Big Data down. This paper aims to create awareness to researchers and to sensitize the existing and intending users of Big Data tools of the privacy issue and possible measures that can be of assistance. Keywords: Data, Big Data, Big Data tools, Challenges, Security, Privacy.

Muhammad Muhammad Suleiman and Muhammad Bello Aliyu, 2022

Companies are beginning to see the value of having large amounts of data at their disposal to make the best decisions and achieve their goals. As new technologies, the Internet, and social networks emerge, the volume of digital data continues to grow. In this era, everything around us is continually generating Big data. Big data is coming in at an alarming velocity, volume, and diversity, and it's coming from a variety of places. You'll need the best processing power, analytical capabilities, and talents to get the most out of big data. Big data has sparked interest in several sectors, including data mining and machine learning. This text aims to discuss the new concept of big data and data analytics, including its concept, technologies, and various types of this innovation that are designed to allow for efficient data mining and information sharing fusion from social media, as well as the new applications and paradigms that fall under the "umbrella" of social networks, social networks, and big data concepts. This colossal amount of data arrives from all across the world, daily. Structured, unstructured, and distributed big data are all possibilities. Certain tools and techniques are required to manage large amounts of data. This paper provides an overview of the notion of big data, as well as issues, challenges, and tools and strategies in this domain.

In the era of the fourth industrial revolution (Industry 4.0), big data has major impact on businesses, since the revolution of networks, platforms, people and digital technology have changed the determinants of firms’ innovation and competitiveness. An ongoing huge hype for big data has been gained from academics and professionals, since big data analytics leads to valuable knowledge and promotion of innovative activity of enterprises and organizations, transforming economies in local, national and international level. In that context, data science is defined as the collection of fundamental principles that promote information and knowledge gaining from data. The techniques and applications that are used help to analyze critical data to support organizations in understanding their environment and in taking better decisions on time. Nowadays, the tremendous increase of data through the Internet of Things (continuous increase of connected devices, sensors and smartphones) has contributed to the rise of a “data-driven” era, where big data analytics are used in every sector (agriculture, health, energy and infrastructure, economics and insurance, sports, food and transportation) and every world economy. The growing expansion of available data is a recognized trend worldwide, while valuable knowledge arising from the information come from data analysis processes. In that context, the bulk of organizations are collecting, storing and analyzing data for strategic business decisions leading to valuable knowledge. The ability to manage, analyze and act on data (“data-driven decision systems”) is very important to organizations and is characterized as a significant asset. The prospects of big data analytics are important and the benefits for data-driven organizations are significant determinants for competitiveness and innovation performance. However, there are considerable obstacles to adopt data-driven approach and get valuable knowledge through big data.