Hadoop Technology

Authors

  • Yash Patel  MCA, Faculty of IT & Computer Science, Parul Institute of Engineering and Technology Parul University, Vadodara, India
  • Prof. Manish Joshi  MCA, Faculty of IT & Computer Science, Parul Institute of Engineering and Technology Parul University, Vadodara, India

DOI:

https://doi.org/10.32628/IJSRSET22967

Keywords:

Big Data, Hadoop, Map Reduce, HDFS, Hadoop Components

Abstract

'Big Data 'describes and technologies to store, distribute, manage and analyze large-sized datasets with high-velocity. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order to process these large amounts of data in an inexpensive and efficient way, parallelism is used. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an open-source software project that enables the distributed processing of large data sets with a very high degree of fault tolerance.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-12-30

Issue

Volume 9, Issue 6, November-December-2022

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Yash Patel, Prof. Manish Joshi "Hadoop Technology" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 6, pp.46-52, November-December-2022. Available at doi : https://doi.org/10.32628/IJSRSET22967