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Image Data Hiding with SPIHT Compression and Strassen Method
MS. SITA YADAV, PROF. CHAYA JADHAV Computer Department, D.Y.P.I.E.T., Pimpri, University of Pune, India Department of Information Technology, D.Y.P.I.E.T, Pimpri, University of Pune, India
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Abstract: Now a dayβs increases shared data very fast due to social networking and mobile phone. In olden days the data is less and able to handle most popular RDBMS concepts, but recently it is difficult to handle this much of huge data through old RDBMS tools. To overcome this situation we told to prefer using of Big Data. In this paper, we will outline the origin and history of this new system to handle βBig Dataβ. We look up to current popular big data systems, illustrated by Hadoop architecture and its current & future use-cases of this system, apache drill high level architecture, applications of Big Data and its challenges.
Keywords: Big Data, Hadoop, Apache Drill, RDBMS Solutions, Big Data Solutions.
Keywords: Big Data, Hadoop, Apache Drill, RDBMS Solutions, Big Data Solutions.
How to Cite:
[1] MS. SITA YADAV, PROF. CHAYA JADHAV Computer Department, D.Y.P.I.E.T., Pimpri, University of Pune, India Department of Information Technology, D.Y.P.I.E.T, Pimpri, University of Pune, India, βImage Data Hiding with SPIHT Compression and Strassen Method,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.