Abstract
Big Data is the term used to identify the datasets that are large in size and complexity. Big Data are now swiftly expanding in domains. Big Data includes e-mail messages, snaps, business deals, surveillance video recordings, posts of social Medias, mobile phone GPS signals and RFID readers, microphones, cameras, sensors and activity logs. That’s why, the data that exceeds the processing capacity of conventional database systems. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to its volume, variability, and velocity. The Big Data is a challenge of the most exciting opportunities for the next era. Any Big Data is for decision making. This study paper includes the information about Introduction about Big Data, Challenges in Big Data, Tools and Techniques to handle Big Data, and its Applications.
Keywords
Big Data
Challenges
Datasets
Heterogeneous
Hadoop
MapReduce
HDFS
Pig
HBase
Hive
Avro
Oozie
Chukwa
ZooKeeper
Authors
How to Cite this Article
K. Syed Mohamed Bukari (2016).
"SURVEY ON BIG DATA TOOLS AND TECHNIQUES".
International Journal of Contemporary Research in Computer Science and Technology,
2(11), pp. 1070-1072.