Big Data

2016 ◽  
pp. 1-21 ◽  
Author(s):  
Jayshree Ghorpade-Aher ◽  
Reena Pagare ◽  
Anita Thengade ◽  
Santaji Ghorpade ◽  
Manik Kadam
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Personal Data ◽  
Research Area ◽  
Comprehensive Overview ◽  
Research Fields ◽  
Huge Data ◽  
Big Picture ◽  
Big Data Storage ◽  
Global Data

Today is the Computer Era, where the data is increasing exponentially. Managing such a huge data is a challenging job. Under the explosive increase of global data, the term of big data is mainly used to describe enormous datasets. The state-of-the-art of big data is discussed here. The discussions aim to provide a comprehensive overview and big-picture to readers of this existing research area. This chapter discusses the different models and technologies for Big Data; It also introduces Big data Storage. Big data has been a potential topic in various research fields and areas like healthcare, public sector, retail, manufacturing personal data, etc.

scholarly journals A Survey on Accelerated Mapreduce for Hadoop

2017 ◽  
Vol 10 (3) ◽  
pp. 597-602
Author(s):  
Jyotindra Tiwari ◽  
Dr. Mahesh Pawar ◽  
Dr. Anjajana Pandey
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Energy Efficient ◽  
High Performance ◽  
Map Reduce ◽  
Efficient Computation ◽  
Apache Hadoop ◽  
Huge Data ◽  
Performance Techniques ◽  
Big Data Storage

Big Data is defined by 3Vs which stands for variety, volume and velocity. The volume of data is very huge, data exists in variety of file types and data grows very rapidly. Big data storage and processing has always been a big issue. Big data has become even more challenging to handle these days. To handle big data high performance techniques have been introduced. Several frameworks like Apache Hadoop has been introduced to process big data. Apache Hadoop provides map/reduce to process big data. But this map/reduce can be further accelerated. In this paper a survey has been performed for map/reduce acceleration and energy efficient computation in quick time.

Secure big data storage and sharing scheme for cloud tenants

2015 ◽  
Vol 12 (6) ◽  
pp. 106-115 ◽  
Author(s):  
Hongbing Cheng ◽  
Chunming Rong ◽  
Kai Hwang ◽  
Weihong Wang ◽  
Yanyan Li
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Sharing Scheme ◽  
Big Data Storage

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

Fuzzy-Folded Bloom Filter-as-a-Service for Big Data Storage in the Cloud

2019 ◽  
Vol 15 (4) ◽  
pp. 2338-2348 ◽  
Author(s):  
Amritpal Singh ◽  
Sahil Garg ◽  
Kuljeet Kaur ◽  
Shalini Batra ◽  
Neeraj Kumar ◽  
...  
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Bloom Filter ◽  
Big Data Storage

scholarly journals Novel Read Algorithms for Improving the Performance of Big Data Storage Systems

2015 ◽  
Vol 50 ◽  
pp. 264-269
Author(s):  
Thirumalaisamy Ragunathan ◽  
Sudheer Kumar Battula ◽  
Rathnamma Gopisetty ◽  
B. RangaSwamy ◽  
N. Geethanjali
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Storage Systems ◽  
Big Data Storage
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