A Review on Big Data Concepts and various Analytic Techniques
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-52 Number-1 |
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| Year of Publication : 2017 | ||
| Authors : Kawale S. M., Dr. Holambe A. N., Bokefode J. D. | ||
| DOI : 10.14445/22312803/IJCTT-V52P104 |
Kawale S. M., Dr. Holambe A. N., Bokefode J. D. "A Review on Big Data Concepts and various Analytic Techniques". International Journal of Computer Trends and Technology (IJCTT) V52(1):13-16, October 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The ‘Big Data’ is the rapidly growing and modern
technique to collect, persist, share, supervise and
examine large sized datasets which comes with high
speed and having different structures. Big data
datasets are those that exceed the capacity of simple
kind of database and data management architecture
used in earlier days. Data may be structured;
unstructured or semi-structured which needs more
computing power to gather and analyze data
collected from different sources. Big data can
manage variety of data such as structured, semistructured
and unstructured data. Structured data
means those data that formatted in straightforward
manner according to the database management
system. Semi-structured and unstructured data
contains all type of unformatted data such as
multimedia and social media content. Big Data
require new architecture to manage data, new
techniques and algorithms to retrieve data and
analytics to discover hidden knowledge from it
because large data sets having wide range, variety,
and difficulty. This paper clarifies the big data and
their related terms such as big data analytics,
explore the possibilities about future research and
present the in progress research and related findings
that could help research scholars’, businesses and
data service providers to study and develop big data
analytics projects. Now a days, most of the
enterprises are investigate big data to improve the
organization position in current market trends.
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Keywords
Big Data, Analytics, MapReduce,
HDFS.