Indian Journal of Science and Technology

Abstract

Platfora helps business users and data analyst to visually interact with large volume of data in seconds, letting them to work with even the easiest forms of transaction, user interaction, and machine data. In big data retrieval a cooperativebased database caching system for large datasets and the heart of the system catch submitted queries to database. In data caches, nodes that already request a cache in the queries are used as indices to retrieve the data. Based on the external database and caching systems are formed for requested data to retrieve from distributed file system in cloud. In the existing tool Hadoop having different limitations is a very low-level implementation to analyze the requirements like Map Reducing, extensive knowledge for developer to operate different PLATFORA. The user’s queries turn into Hadoop jobs automatically, and create an abstraction layer if anyone can exploit to reduce and manage datasets stored in the Hadoop that related to PLATFORA. To analyze the Hamlet framework allows the users to take caching decision system for content and then retrieve from the large datasets. In this paper we focus on sky tree to analyze a machine learning language and data analytics platform focused on handling the Big Data.
Keywords: Hadoop, Hamlet Framework, Large Datasets, Platfora, Sky Tree