抽象的な

A Database Hadoop Hybrid Approach of Big Data

Rupali Y. Behare , Prof. S.S.Dandge

Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. Big data may be important to business and society as the Internet has become. Big Data is so large that it's difficult to process using traditional database and software techniques. Big data analytics refers to the process of collecting, organizing and analysing large sets of data ("big data") to discover patterns and other useful information Systems. Hadoop is based on a simple data model, any data will fit. HDFS designed to hold very large amounts of data (terabytes or petabytes or even zettabytes), and provide high-throughput access to this information. Hadoop Map Reduce is a technique which analysis big data. MapReduce has recently emerged easy programming model. In this work by giving the idea from HDFS (Hadoop Distributed File System) developed distributed system. and find the processing time between Hadoop based system and non Hadoop based system and compare them. Implement efficient algorithm for developing distributed system and map reducing functions