Integrating E-Governance with Big Data Analytics using Apache Spark
Poonam Salwan1, Veerpaul Kaur Maan2

1Poonam Salwan*, Research Scholar, I.K. Gujral Punjab Technical University, Jalandhar, Punjab, India.
2Dr. Veerpaul Kaur Maan, A.P., Giani Zail Singh Punjab Technical University, Bathinda, Punjab, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1609-1615 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7820038620/2020©BEIESP | DOI: 10.35940/ijrte.F7820.038620

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Abstract: The constant innovations and rapid developments in the IT industry have revolutionized the thinking and mindset of the people throughout the world. Government departments have also been computerized to provide transparent, efficient and responsible government through e-governance. The government have been providing access to various websites or portal for filing complaints, uploading or downloading forms, pictures, data or PDFs to avail the government services. Enlightened citizens are frequently using the portal to access government services. Thus, the size and volume of data that need to be managed by government departments have been increasing drastically under e-governance. The traditional database management system is not designed to deal with such mix type of data. Moreover, the speed at which the e-governance generated data need to be processed is another big challenge being faced by traditional database system. All the abovesaid concerns can be solved by using the emerging technology – Big Data Analytics techniques. Big data analytic techniques can make the government more efficient and transparent by processing structured, unstructured or mixed types data at a great speed. In this paper, we shall understand the scenario for the need or the emergence of big data analytics in e-governance and knowhow of Apache Spark. This paper proposes a practical approach to integrate big data analytics with e-governance using Apache Spark. This paper also reflects how major issues of traditional database management system (mixed type datasets, speed and accuracy) can be resolved through the integration of big data analytics and e-governance.
Keywords: E-governance; Big data analytics; Apache Spark.
Scope of the Article: Big Data Analytics.