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Fundamental Survey of Map Reduce in Bigdata with Hadoop Environment

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Communication, Networks and Computing (CNC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 839))

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Abstract

The terminology “Big Data” was initiated for variety of industry processes, methods and technology to explore new field. Big organizations like Amazon, flip cart and also many government subsidiaries like ISRO, NASA and BISAG are considering Big Data to fulfill their analytical objectives with mapping technique and reducing technique. We can consider Big Data as key factor related large or small-sized data repositories and consortium which have been identifies the possible (which is random manner extensively) to make capital out of. And for that hadoop is very effective platform to shows the efficiency of map reduce technique.

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Acknowledgement

First of all I would like to thank the VVP Engineering College, Rajkot, Gujarat, India for providing me suitable working environment and because of this I am able to find the scope of my research work. With the use of the practical laboratory environment of VVP Engineering College, Rajkot, Gujarat I was able to get the results of my research work.

I am also very great full to Dr. Tejas Patalia to guide me throaty in my research. He is guiding me time to time for improvement in my research work and motivate me to work deep in this keen area of research. Without his kind support it’s not possible for me to continue my research journey. In last, I am thankful to all my colleague for supporting me and encourage me in my research.

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Authors and Affiliations

  1. Computer Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India

    Maulik Dhamecha

  2. Computer Engineering Department, VVP Engineering College, Gujarat Technological University, Rajkot, Gujarat, India

    Tejas Patalia

Authors
  1. Maulik Dhamecha
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  2. Tejas Patalia
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Corresponding author

Correspondence to Maulik Dhamecha .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Allahabad, India

    Shekhar Verma

  2. ITM University, Gwalior, India

    Ranjeet Singh Tomar

  3. ITM University, Gwalior, India

    Brijesh Kumar Chaurasia

  4. Indian Institute of Information Technology, Allahabad, India

    Vrijendra Singh

  5. School of Information Technology, Deakin University, Burwood, VIC, Australia

    Jemal Abawajy

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© 2019 Springer Nature Singapore Pte Ltd.

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Dhamecha, M., Patalia, T. (2019). Fundamental Survey of Map Reduce in Bigdata with Hadoop Environment. In: Verma, S., Tomar, R., Chaurasia, B., Singh, V., Abawajy, J. (eds) Communication, Networks and Computing. CNC 2018. Communications in Computer and Information Science, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-2372-0_19

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  • DOI: https://doi.org/10.1007/978-981-13-2372-0_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2371-3

  • Online ISBN: 978-981-13-2372-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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