International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 141 | Views: 152 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Information Technology | India | Volume 8 Issue 2, February 2019

Data Analyser GUI

Hardik Goel [2] | Tushar Ahuja

Abstract: Global digital content created will increase some 30 times over the next ten years to 35 zettabytes Big data is a popular, but poorly defined marketing buzzword. One way of looking at big data is that it represents the large and rapidly growing volume of information that is mostly untapped by existing analytical applications and data warehousing systems. Examples of this data include high-volume sensor data and social networking information from web sites such as FaceBook and Twitter. Organizations are interested in capturing and analyzing this data because it can add significant value to the decision making process. Such processing, however, may involve complex workloads that push the boundaries of what is possible using traditional data warehousing and data management techniques and technologies. This article looks the benefits analyzing big data brings to the business. It examines different types of big data and offers suggestions on how to optimize systems to handle different workloads and integrate them into a single infrastructure. Two important data management trends for processing big data are relational DBMS products optimized for analytical workloads (often called analytic RDBMSs, or ADBMSs) and non-relational systems (sometimes called NoSQL systems) for processing multi-structured data. A non-relational system can be used to produce analytics from big data, or to preprocess big data before it is consolidated into a data warehouse. Big Data is a concept that is leading the world right now and taking it by storm. We have tried to discuss on the fundamentals of Big Data and tools and techniques associated with it. We also have tried to categorize the Big Data elements into a model and tried to derive Big Data Ecosystem from it. The V Model for the Big Data has been defined and categorized into 3V, 4V or 5V dependent on the organization which uses it and under which business scenario. Catering to the aforementioned models, we have classified data into various forms and explanations have been provided on the same to gain a better insight and understanding on the same

Keywords: Big Data, RDBMs, Data Warehouse

Edition: Volume 8 Issue 2, February 2019,

Pages: 1054 - 1058

How to Download this Article?

Type Your Email Address below to Download the Article PDF

How to Cite this Article?

Hardik Goel, Tushar Ahuja, "Data Analyser GUI", International Journal of Science and Research (IJSR), Volume 8 Issue 2, February 2019, pp. 1054-1058,

Similar Articles with Keyword 'Big Data'

Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Masters Thesis, Information Technology, Zimbabwe, Volume 11 Issue 2, February 2022

Pages: 133 - 136

A Comparative Model for Predicting Customer Churn using Supervised Machine Learning

Muchatibaya Adrin | David Fadaralika

Share this Article

Downloads: 103

Research Paper, Information Technology, Malaysia, Volume 3 Issue 12, December 2014

Pages: 2588 - 2589

Big Data Storage, Collection, & Protection with Islamic Perspective

Ibrahim Nasreldin Ibrahim Ahmed | Mohamad Fauzan Noordin

Share this Article