*Master of Engineering Ist Year (Computer Science & Engineering, Darapur) The New World of data-Big data Using Framework Hadoop
**Master of Engineering Ist Year (KGIT'S Computer Science & Engineering, Darapur) Guide: Prof. Meghali Kalyanka
Online published on 27 July, 2015.
Technology is evolutionary field, what seems new today became old by time; Now a day's concept of big data is in news, on the page of news paper, and it is a topic of research and enthusiasm in world of data. The term Big Data is new but technologies incorporate into it are old like high-speed networks, high-performance computing, task management, thread management, and data mining. People always have attraction and enthusiasm whenever new technologies come in market; If today's organizations do not adopt new technologies then they will be left far behind in their market position. But it would not be wise if we are blindly adopting new technologies without knowing its concept and values.
The term Big Data is introduced in data world to process, mange and support massive amount of data. Many organizations are using big data to handle their large amount of data chunks and to gain some meaningful result set from it. Big Data is not just about lots of data, it is actually a concept providing an opportunity to find new insight into your existing data as well guidelines to capture and analysis your future data. It makes any business more agile and robust so it can adapt and overcome business challenges.
Hadoop is the core platform for structuring Big Data, and solves the problem of formatting it for subsequent analytics purposes. Hadoop uses a distributed computing architecture consisting of multiple servers using commodity hardware, making it relatively inexpensive to scale and support extremely large data stores.
Big data, Robust, Transformation, Hadoop, Analytics, High speed Network