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Home / programming language / Online Java Projects / High Performance Analytics of Bigdata with Dynamic and Optimized Hadoop Cluster
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High Performance Analytics of Bigdata with Dynamic and Optimized Hadoop Cluster

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SKU: PROJ7575 Categories: 2017 Projects, Big Data Projects, Final Year Projects, Online Java Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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High Performance Analytics of Bigdata with
Dynamic and Optimized Hadoop Cluster

Abstract— With enterprises collecting feedback down to every possible detail, data repositories are being over flooded with information. In-order to access valuable information, these data should be processed using
sophisticated statistical analysis. Traditional analytical tools, existing statistical software and data management
systems find it challenging to perform deep analysis upon large data libraries. Users demand a service platform that
can store and handle large quantities of data with some features such as easy accessibility, fast performance, durable and secure. These features can be availed without having to spend too much on hardware, upgrading,
configuring etc to perform analysis of big data.< final year projects >

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