CSC/ECE 517 Fall 2013/ch1 1w47 ka: Difference between revisions

From Expertiza_Wiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 4: Line 4:


== Introduction to Big Data ==
== Introduction to Big Data ==
With the increasing data size it becomes difficult to store the data in relational databases and also processing the data become very time consuming. Even if it is feasible to store the data on multiple servers, it becomes difficult to visualize the data all together since it is spread over multiple servers. Hence there arises a need of storing and retrieving huge amount of data effectively which involves massive parallel processing to fetch a huge amount of data
With the increase in data size it becomes difficult to store the data in relational databases and also processing the data becomes very time consuming. Even if it is feasible to store the data on multiple servers, it becomes difficult to visualize the data all together since it is spread over multiple servers and processing time is also very large. Hence there arises a need of storing and retrieving huge amount of data effectively which involves massive parallel processing to fetch a huge amount of data in less time. This process of storing huge amount of data on multiple servers and processing that data which is not possible using traditional database processing techniques is called big data analysis and the collection of large data sets is called big data.

Revision as of 23:07, 7 October 2013

Big Data in Rails applications

Introduction to Big Data

With the increase in data size it becomes difficult to store the data in relational databases and also processing the data becomes very time consuming. Even if it is feasible to store the data on multiple servers, it becomes difficult to visualize the data all together since it is spread over multiple servers and processing time is also very large. Hence there arises a need of storing and retrieving huge amount of data effectively which involves massive parallel processing to fetch a huge amount of data in less time. This process of storing huge amount of data on multiple servers and processing that data which is not possible using traditional database processing techniques is called big data analysis and the collection of large data sets is called big data.