An Approach to Enhance the Performance of Hadoop MapReduce Framework for Big Data

Chandra, Subhash; Motwani, Deepak

doi:10.1109/icmete.2016.64

Cited by 10 publications

(2 citation statements)

References 12 publications

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“…Huge Internet organizations routinely create many tera-bytes of logs and operation records. MapReduce is a programming model for processing large data set in distributed and parallel processes stored inside the Hadoop distributed file system [13]. Map Reduce has ended up being a capable gadget to process such broad educational indexes.…”

Section: Introductionmentioning

confidence: 99%

Massive Data Processing Using Mapreduce Aggregation To Make Digitized India

Thilagavathi¹,

Vimala²,

Valarmathi³

et al. 2018

Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 201

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Digitized India is used to connect rural areas with high speed Internet. As a result, it is used to reduce crime, manual power, documentation and also increases the job opportunities. Nowadays people are facing many problems when they forget to carry the driving license and also to reduce the corruption, the proposed system combines the driving license with Aadhar card. The details of driving license and Aadhar card data can be combined using the MapReduce Counters. It automatically aggregated over Map and Reduce phases. It is used to create a tool that manages the handling of license using unique identification associated with each individual. It helps the user to travel various places without having the license. So the proposed system will make the digitization of data on a large scale for easy and quick access throughout the India. Sqoop is a tool intended to exchange information amongst Hadoop and social databases. Sqoop utilizes MapReduce to import and export the information, which gives parallel operation and in addition adaptation to noncritical failure. As the result of parallel operations time utilization for transferring the data get decreased radically.

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Section: Introductionmentioning

confidence: 99%

Massive Data Processing Using Mapreduce Aggregation To Make Digitized India

Thilagavathi¹,

Vimala²,

Valarmathi³

et al. 2018

Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 201

View full text Add to dashboard Cite

show abstract

“…First, we collect data that is generated from different origins and then collect and store it into one common platform. Most commonly, we use Apache Hadoop that is open source framework to provide Hadoop Distributed File System (HDFS) for distributed storage and fault tolerance [7]. MapReduce is the programming model of Hadoop which can be used to process huge amount of data as quick as possible [8].…”

Section: Big Datamentioning

confidence: 99%

A Survey of Big Data Analytics in Healthcare

Sarwar¹,

Hanif²,

Talib³

et al. 2017

ijacsa

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Abstract-Debate on big data analytics has earned a remarkable interest in industry as well as academia due to knowledge, information and wisdom extraction from big data. Big data and cloud computing are two most important trends that are defining the new emerging analytical tools. Big data has various applications in different fields like traffic control, weather forecasting, fraud detection, security, education enhancement and health care. Extraction of knowledge from large amount of data has become a challenging task. Similarly, big data analysis can be used for effective decision making in healthcare by some modification in existing machine learning algorithms. In this paper, drawbacks of existing machine learning algorithms are summarized for big data analysis in healthcare.

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Time-Efficient Advent for Diagnosing Flaws in Hadoop on the Big Sensor Type Data

Jagdishchandra

Upadhyay

2018

Advances in Intelligent Systems and Computing

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An Approach to Enhance the Performance of Hadoop MapReduce Framework for Big Data

Cited by 10 publications

References 12 publications

Massive Data Processing Using Mapreduce Aggregation To Make Digitized India

Massive Data Processing Using Mapreduce Aggregation To Make Digitized India

A Survey of Big Data Analytics in Healthcare

Time-Efficient Advent for Diagnosing Flaws in Hadoop on the Big Sensor Type Data

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