Big Data representation for Grade Analysis Through Hadoop Framework

被引：0

作者：

Verma, Chitresh ^{[1
]}

Pandey, Rajiv ^{[2
]}

机构：

[1] Amity Univ, Lucknow, Uttar Pradesh, India

[2] Amity Univ, AIIT, Lucknow, Uttar Pradesh, India

来源：

2016 6TH INTERNATIONAL CONFERENCE - CLOUD SYSTEM AND BIG DATA ENGINEERING (CONFLUENCE) | 2016年

关键词：

Big Data; Hadoop; MapReduce; AWS; HDFS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Big Data is a large dataset displaying the features of volume, velocity and variety in an OR relationship. Big Data as a large dataset is of no significance if it cannot be exposed to strategic analysis and utilization. There are many software and hardware solutions available in the technological landscape that enable capturing, storing and subsequently analysis of Big Data. Hadoop and its associated technological solution is one of them. Hadoop is the software framework for computing large amount of data. It is made up of four main modules. These modules are Hadoop Common, Hadoop Distributed File System (HDFS), Hadoop YARN, and Hadoop MapReduce. Hadoop MapReduce divides large problem into smaller sub problems under the control of JobTracker. This paper suggests a Big Data representation for grade analytics in an educational context. The study and the experiments can be implemented on R or AWS the cloud infrastructure provided by Amazon.

引用

页码：312 / 315

页数：4

共 50 条

[1] Big Data Analysis: Recommendation System with Hadoop Framework
Verma, Jai Prakash
Patel, Bankim
Patel, Atul
[J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION TECHNOLOGY CICT 2015, 2015, : 92 - 97
[2] Security framework using Hadoop for Big Data
Johri, Prashant
Kumar, Arun
Das, Sanjoy
Arora, Sanchita
[J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2017, : 268 - 272
[3] Research and Practice of Big Data Analysis Process Based on Hadoop Framework
Jiang, Hui
[J]. PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 2044 - 2047
[4] Sentiment Analysis of Big Data Applications using Twitter Data with the Help of HADOOP Framework
Sehgal, Divya
Agarwal, Ambuj Kumar
[J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON SYSTEM MODELING & ADVANCEMENT IN RESEARCH TRENDS (SMART-2016), 2016, : 251 - 255
[5] A Big Data Framework for Mining Sensor Data Using Hadoop
El-Shafeiy, Engy A.
El-Desouky, Ali I.
[J]. STUDIES IN INFORMATICS AND CONTROL, 2017, 26 (03): : 365 - 376
[6] A COMPARATIVE ANALYSIS OF CONVENTIONAL HADOOP WITH PROPOSED CLOUD ENABLED HADOOP FRAMEWORK FOR SPATIAL BIG DATA PROCESSING
Tripathi, A. K.
Agrawal, S.
Gupta, R. D.
[J]. ISPRS TC V MID-TERM SYMPOSIUM GEOSPATIAL TECHNOLOGY - PIXEL TO PEOPLE, 2018, 4-5 : 425 - 430
[7] Big Data Security Problem Based on Hadoop Framework
Samet, Refik
Aydin, Ayhan
Toy, Feridun
[J]. 2019 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2019, : 525 - 530
[8] Big Data Solution: Improvised Distributions Framework of Hadoop
Bhathal, Gurjit Singh
Dhiman, Amardeep Singh
[J]. PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 35 - 38
[9] Analyzing Viral Genomic Data Using Hadoop Framework in Big Data
Nagpal, Disha
Sood, Shriya
Mohagaonkar, Sanika
Sharma, Himanshu
Saxena, Ankur
[J]. PROCEEDINGS OF THE 2019 6TH INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2019, : 680 - 685
[10] Beyond Hadoop for e-commerce Big Data Analysis through Amazon
Verma, Ankush
Sethi, Nidhi
Jain, Neelesh
[J]. 2018 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATION AND TELECOMMUNICATION (ICACAT), 2018,

← 1 2 3 4 5 →