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Rajesh Yadav
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- Assistant Professor, Department of Computer Science, Sies College of Arts, Science & Commerce (Autonomous), Maharashtra, India
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Abstract
nAs the technology is in progress the accumulation of data is also increasing. As a result of which a lot of organisations are constantly seeking new yet innovative solutions to process and analyse this huge accumulation of data. Well Hadoop proved a gamе-changеr in thеrеalm of big data procеssing whereas Avro proved a solution provider to data Serialization. In this review articlе, wе’lldеlvе into thе world of Avro and Hadoop, еxploring its basics, features, kеycomponеnts, Connection between Avro and Hadoop, Real-world examples of Avro’s integration with Hadoop.
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Keywords: Avro , Data Serialization, Hadoop HFS , MapReduce,big data.
n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Data Structure Studies(ijdss)]
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References
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- Vohra, D., & Vohra, D. (2016). Apache avro. Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and Tools, 303-323.
- Mayer-Schonberger, Viktor; Cukier, Kenneth (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think . Houghton Mifflin Harcourt.
- Sandy Ryza, Uri Laserson et.al (2014). Advanced-Analytics-with-Spark. OReilley.
- White, Tom (2014). Mastering Hadoop. OReilley
- Marz, Nathan, and James Warren (2015). Big Data: Principles and Best Practices of Scalable Real time Data Systems. Manning Publications.
- Maheshwari, Anil.Big Data. McGraw-Hill Education, 2019.
- Bhosale, H. S., & Gadekar, D. P. (2014). A review paper on big data and hadoop. International Journal of Scientific and Research Publications, 4(10), 1-7.
- Phaneendra, S. V., & Reddy, E. M. (2013, April). Big Data-solutions for RDBMS problems-A survey. In 12th IEEE/IFIP Network Operations & Management Symposium (NOMS 2010)(Osaka, Japan, Apr 19 {23 2013).
- Mukherjee, A., Datta, J., Jorapur, R., Singhvi, R., Haloi, S., & Akram, W. (2012, December). Shared disk big data analytics with apachehadoop. In 2012 19th International Conference on High Performance Computing (pp. 1-6). IEEE.
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- Patel, A. B., Birla, M., & Nair, U. (2012, December). Addressing big data problem using Hadoop and Map Reduce. In 2012 Nirma University International Conference on Engineering (NUiCONE) (pp. 1-5). IEEE.
- Hukill, G. S., & Hudson, C. (2018). Avro: Overview and Implications for Metadata Processing.
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- Apache Hadoop Resources: https://hadoop.apache.org/docs/r2.7.2/
- Apache HDFS: https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html
- Hadoop API site: http://hadoop.apache.org/docs/current/api/
- https://www.linkedin.com/pulse/unraveling-power-hadoop-journey-big-data-success-stories-akshat-jain?trk=article-ssr-frontend-pulse_more-articles_related-content-card.
- https://data-flair.training/blogs/avro-serialization/amp
- https://www.baeldung.com/java-apache-avro
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| Volume | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | |
| Received | November 22, 2023 |
| Accepted | November 29, 2023 |
| Published |
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