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Moving Hadoop to the cloud for big data analytics

Irina Astrova, Arne Koschel, Felix Heine, Ahto Kalja
On the other hand, an overwhelming majority of organizations are moving their big data processing and storing to the cloud to take advantage of cost reduction – the cloud eliminates the need for investing  ...  This paper shows how organizations can alleviate some of the obstacles faced when trying to make Hadoop run in the cloud.  ...  Acknowledgement Irina Astrova's and Ahto Kalja's work was supported by the Estonian Ministry of Education and Research institutional research grant IUT33-13.  ... 
doi:10.25968/opus-1555 fatcat:dxbtgqrgk5gilptv2oo55zgs6m

Cloud for Big Data Analytics Trends

Affreen Ara, Aftab Ara
2016 IOSR Journal of Computer Engineering  
The paper describes the future or trends of Cloud for Big Data Analytics.  ...  Cloud for Big Data Analytics is also known as Data Analytics as a Service.  ...  The Analytics market is growing of net technologies and new big players have moved in and started to buy those start-ups for their technology and skill sets.  Big data grows and become fast: Hadoop Cloud  ... 
doi:10.9790/0661-1805040106 fatcat:m2y2itpmlrcfbkwdudswxrd7ju

Big Data and Cloud Computing: Trends and Challenges

Samir Abou El-Seoud, Hosam F. El-Sofany, Mohamed Ashraf Fouad Abdelfattah, Reham Mohamed
2017 International Journal of Interactive Mobile Technologies  
The 4V's of big data – volume, velocity, variety and veracity makes the data management and analytics challenging for the traditional data warehouses.  ...  Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles.  ...  El-SOFANY is with Cairo Higher Institute for Engineering, Computer Science, and Management, Cairo, Egypt.  ... 
doi:10.3991/ijim.v11i2.6561 fatcat:n7fy32zj7jdhvkii2yezymmn5m

Cloud Enabled Predictive Big data Analytics Framework for Healthcare

2019 International journal of recent technology and engineering  
Cloud systems can be employed for the storage of big data so that users can be able to access it from anywhere .  ...  The objective of this paper is to review the concept of big data , healthcare in the context of big data and cloud computing.  ...  BIG DATA ANALYTICS TECHNOLOGY AND TOOLS IN HEALTHCARE For the purpose of handling big data set and execution of algorithm to process big data set , we need big data system for good performance.  ... 
doi:10.35940/ijrte.c5395.098319 fatcat:5nyi7telnnft7mddrqmdzsofty

Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends

Emad A Mohammed, Behrouz H Far, Christopher Naugler
2014 BioData Mining  
The objective of this paper is to summarize the state-of-the-art efforts in clinical big data analytics and highlight what might be needed to enhance the outcomes of clinical big data analytics tools.  ...  Data are stored in the HDFS and made available to the slave nodes for computation.  ...  More importantly, the move-code-to-data philosophy applies within the Hadoop cluster itself.  ... 
doi:10.1186/1756-0381-7-22 pmid:25383096 pmcid:PMC4224309 fatcat:zpis7kklerh2vna5le2gtxc5vi

Big data analytics on cloud using microsoft azure hdinsight

2016 International Journal of Latest Trends in Engineering and Technology  
Microsoft Azure HDInsight service provides the complete Hadoop stack which enable big data developers to use it for analytics and reporting.  ...  In this paper, Microsoft Azure HDInsight is discussed which is the big data cloud service enabling users to easily move their data to the cloud and build a strong architectural pattern to manage the data  ...  Azure HDInsight service provides the complete Hadoop stack which enable big data developers to use it for analytics and reporting.  ... 
doi:10.21172/1.72.556 fatcat:dkkpzeotybefxmwnzdluqmjctu

A Survey on Big Data Analytics Using HADOOP

S. Mamatha, T. Sudha
2019 Asian Journal of Computer Science and Technology  
The objective of this paper is to summarize the state-of-the-art efforts in clinical big data analytics and highlight what might be needed to enhance the outcomes of clinical big data analytics tools and  ...  The term ― Big data is used for large data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.  ...  For this tutorial, the Hadoop installation will be moved to the /usr/local/hadoop directory using the following command: mv hadoop-2.3.0/usr/local/hadoop.  ... 
doi:10.51983/ajcst-2019.8.s3.2091 fatcat:ucigqlaaovhlrfhngeypour4xq

Switch Bandwidth Congestion Prediction in Cloud Environment

Sivakumar Kuppusamy, Vivekanandan Kaniappan, Devi Thirupathi, T. Ramasubramanian
2015 Procedia Computer Science  
Network bandwidth congestion is caused when large volumes of data are moved to node or cluster in the cloud environment which in-turn creates Service Level Agreement (SLA) violation for the cloud application  ...  data analytics.  ...  The applications Hadoop data is moved to another common data processing cluster for analytics and this analytics results is published to business users for application specific use cases.  ... 
doi:10.1016/j.procs.2015.04.054 fatcat:uktfxj26mvfojfe5o6mrokkwd4

MPLEX: In-Situ Big Data Processing with Compute-Storage Multiplexing

Joy Rahman, Palden Lama
2017 2017 IEEE 25th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)  
Cloud-based services are increasingly popular for big data analytics due to the flexibility, scalability, and costeffectiveness of provisioning elastic resources on-demand.  ...  up to 1.7X, while maintaining the SLA for cloud storage service requests.  ...  Opportunity for In-situ Big Data processing In our case study, we setup an OpenStack-based cloud environment hosting a virtual cluster of Hadoop VMs for running data-analytics workload, and a separate  ... 
doi:10.1109/mascots.2017.18 dblp:conf/mascots/RahmanL17 fatcat:4mt4dipq55b2liiglmvu2or3ye

Big Data Computing Using Cloud-Based Technologies, Challenges and Future Perspectives [article]

Samiya Khan, Kashish Ara Shakil, Mansaf Alam
2017 arXiv   pre-print
This has given rise to the development of computing models and tools for big data computing.  ...  Cloud Computing serves as a potential solution to this problem. However, big data computing in the cloud has its own set of challenges and research issues.  ...  In view of the fact that Hadoop is the most popular computing framework for big data, Hadoop on the Cloud (Section 5.5) gives the implementation options available for moving Hadoop to the Cloud.  ... 
arXiv:1712.05233v1 fatcat:56g4jwr2ivezhla5deyn4dys54


Neelay Jagani, Parthil Jagani, Suril Shah
2021 International Journal of Engineering Applied Sciences and Technology  
Big Data and Cloud Computing are two of the most important technologies of the day.  ...  The daily explosion of data means that it's better to have big data included in the applications.  ...  Data Transmission - Another challenge is how to move vast amounts of big data (let's take for example hundreds of terabytes of data) into a public cloud in a short period of time?  ... 
doi:10.33564/ijeast.2021.v05i11.029 fatcat:2jf4oayz4rhqjp5zjof4amfzxu

Cloud Based Big Data Analytic: a Review

A.S. Manekar, G. Pradeepini
2015 International Journal of Cloud-Computing and Super-Computing  
Overall security is a prime issue in all respect while transforming big data analytics to cloud.  ...  Many researchers and industry are finding solution to club big data analytics over cloud. Big data is a term which deals with large volume, velocity and variety of data.  ...  Main techniques for data crunching were to move the data to the computational nodes in shared architecture [2] .  ... 
doi:10.21742/ijcs.2016.3.1.02 fatcat:y4zwbxu6szfzhn2ub362ovoxze

A Study of Big Data Analytics in Clouds with a Security Perspective

M. Bhanu Sridhar, A. Koushik
2016 International Journal of Engineering Research and  
At this juncture, it has to be realized that Big Data in Cloud is not only for storage but also for analyzing.  ...  Big Data is a sparkling topic with plenty of scope for research. With the advent of social media, the data has started to cross the limits of a system, server and even a data center.  ...  The area of Big Data Analytics in Cloud Computing ultimately is the tower to climb for the researchers to bring out satisfactory solutions to the ever-emerging problems in the field.  ... 
doi:10.17577/ijertv6is010010 fatcat:qxwir2s7yfczjpind6t5bot2tu

Performing Big Data over Cloud on a Test-Bed

Vishal Dubey, Saumya Gupta, Sapeksh Garg
2015 International Journal of Computer Applications  
Data analytics has been rapidly growing in a variety of application areas like mining business intellect for processing the huge amount of data.  ...  From the implementation point of view, we describe the key issues and challenges of big data on cloud and on local system as well.  ...  ACKNOWLEDGMENTS We would like to thank the anonymous reviewers for their valuable feedback on this work .This work was supported in part by Bharat Institute of Technology under the guidance of Mr.  ... 
doi:10.5120/21267-3872 fatcat:xi35g2n4wrekdej3bhxhsf34om

Opportunities and Challenges in integrating Cloud Computing and Big Data Analytics to E-governance

Bhushan Jadhav, Archana B.
2018 International Journal of Computer Applications  
The objective of this paper is to give insights about cloud computing and big data analytics for E-governance.  ...  Therefore the emerging technologies like Cloud computing and big data analytics can welcome these challenges and overcome them using the modern approach for computing, storage and data processing.  ...  ACKNOWLEDGMENTS We gratefully acknowledge the experts who have contributed towards the development of this research paper especially Dr. Archana B. Patankar and Prof. Arun Kulkarni.  ... 
doi:10.5120/ijca2018916281 fatcat:3fc4lh6cjfezfc34tfsmwppusa
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