抽象的

Comparative Analysis of Various Techniques Used In Managing Big Data

Rakesh Kumar, Sanketh S Salian, Suraj Nayak

The Digital world is growing very fast and become more complex in terms of volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature which to the data collection that has grown so large it can’t be effectively managed or manipulated using conventional data management tools: e.g., classic relational database management systems (RDBMS).in recent time many applications work based upon Big Data Analytics, Business Intelligence and social networking which has Petabyte datasets and have pushed SQL-like centralized databases to their limits. To handle these problems, traditional RDBMS are provided with an alternative. This led to the development of horizontally scalable, distributed non-relational data stores, called No-SQL databases [7]. The paper shall conclude with suitable NOSQL technology to be used based on the requirement of the organization