A Review Paper on Big Data Analytics
International Journal of Science and Research (IJSR)

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

ISSN: 2319-7064


Downloads: 170 | Views: 392 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Review Papers | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015 | Popularity: 7.1 / 10


     

A Review Paper on Big Data Analytics

Ankita S. Tiwarkhede, Prof. Vinit Kakde


Abstract: We live in on-demand world with vast majority of data. People and devices are constantly generating data, while streaming a video, active in social media, playing games, search any location using GPS. This data increase day by day from many resources, various types of techniques and technologies. The data is categories as Big Data. Big Data is huge in Variety, Velocity and Sheer volume. It is structured and unstructured data and heterogeneous in nature. The goal of Big Data analysis is to extract useful values, suggest conclusions and/or support decision making. In this topic, we provide an extensive survey of big data analytics research, while highlighting the specific concern in big data world. According to Application evolution, we discuss six types of big data application such as structured data analytics, Text analytics, Web analytics, Multimedia analytics, and Mobile analytics. We illustrate the techniques of analyzing the big data such as A/B testing, classification, crowdsourcing, and data mining. We live in on-demand world with vast majority of data. People and devices are constantly generating data, while streaming a video, active in social media, playing games, search any location using GPS. This data increase day by day from many resources, various types of techniques and technologies. The data is categories as Big Data. Big Data is huge in Variety, Velocity and Sheer volume. It is structured and unstructured data and heterogeneous in nature. The goal of Big Data analysis is to extract useful values, suggest conclusions and/or support decision making. In this topic, we provide an extensive survey of big data analytics research, while highlighting the specific concern in big data world. According to Application evolution, we discuss six types of big data application such as structured data analytics, Text analytics, Web analytics, Multimedia analytics, and Mobile analytics. We illustrate the techniques of analyzing the big data such as A/B testing, classification, crowdsourcing, and data mining. We live in on-demand world with vast majority of data. People and devices are constantly generating data, while streaming a video, active in social media, playing games, search any location using GPS. This data increase day by day from many resources, various types of techniques and technologies. The data is categories as Big Data. Big Data is huge in Variety, Velocity and Sheer volume. It is structured and unstructured data and heterogeneous in nature. The goal of Big Data analysis is to extract useful values, suggest conclusions and/or support decision making. In this topic, we provide an extensive survey of big data analytics research, while highlighting the specific concern in big data world. According to Application evolution, we discuss six types of big data application such as structured data analytics, Text analytics, Web analytics, Multimedia analytics, and Mobile analytics. We illustrate the techniques of analyzing the big data such as A/B testing, classification, crowdsourcing, and data mining.


Keywords: Big data management, Big data, Analytics, Analyzing Technique


Edition: Volume 4 Issue 4, April 2015


Pages: 845 - 848



Make Sure to Disable the Pop-Up Blocker of Web Browser


Text copied to Clipboard!
Ankita S. Tiwarkhede, Prof. Vinit Kakde, "A Review Paper on Big Data Analytics", International Journal of Science and Research (IJSR), Volume 4 Issue 4, April 2015, pp. 845-848, https://www.ijsr.net/getabstract.php?paperid=SUB153031, DOI: https://www.doi.org/10.21275/SUB153031

Similar Articles

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

Analysis Study Research Paper, Computer Science & Engineering, India, Volume 13 Issue 7, July 2024

Pages: 1099 - 1104

Forecasting Health: Machine Learning Approaches to Disease Prediction

Nandana Santhosh, Prayag Tushar, Rohan Gilroy Gomez, Devanarayanan V

Share this Article

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

Research Paper, Computer Science & Engineering, India, Volume 13 Issue 8, August 2024

Pages: 1758 - 1765

Enhancing Corporate Financial Performance Through AI: A Novel AI Model for Forecasting Organizational Risk Management, CRM, and Operational Efficiency

Mohammed Saleem Sultan, Mohammed Shahid Sultan

Share this Article

Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Computer Science & Engineering, India, Volume 12 Issue 6, June 2023

Pages: 1168 - 1174

A Machine Learning Approach for the Diagnosis of Chronic Kidney Disease

Divya Pogaku, Sneha Bohra

Share this Article

Downloads: 2 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2

Analysis Study Research Paper, Computer Science & Engineering, India, Volume 12 Issue 8, August 2023

Pages: 734 - 741

Enhanced Congestion Control in Wireless Networks: A Joint Random Early Detection and Drop Tail Mechanism

S. Mohanarangan, R. Kalaivani Sri, P. Nithya, M. Sowndharya, M. Hemamalini

Share this Article

Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Review Papers, Computer Science & Engineering, India, Volume 13 Issue 3, March 2024

Pages: 1036 - 1039

An Investigation of the Applications of Artificial Intelligence and Other New Technologies in Smart Energy Infrastructure

Karan Chawla

Share this Article
Top