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Towards a Cloud Native Big Data Platform using MiCADO

Abdelkhalik Mosa, Tamas Kiss, Gabriele Pierantoni, James DesLauriers, Dimitrios Kagialis, Gabor Terstyanszky
2020 2020 19th International Symposium on Parallel and Distributed Computing (ISPDC)  
Abstract-In the big data era, creating self-managing scalable platforms for running big data applications is a fundamental task.  ...  The distributed and stateful nature of big data platforms (e.g., Hadoop-based cluster) makes the management of these platforms a challenging task.  ...  This paper is relevant and has been supported by the RABBDA (Reduce Access Barriers to Big Data Analytics) project: a Research effort between the University of Westminster, London and the Westminster International  ... 
doi:10.1109/ispdc51135.2020.00025 dblp:conf/ispdc/MosaKPDKT20 fatcat:cyxdwx7gjfgu3lpng5ueyahcly

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.  ...  CLOUD BASED BIG DATA ANALYTICS FRAMEWORKS There are several frameworks available for storing and processing of data like Hadoop, Spark, Twister etc.  ... 
doi:10.17577/ijertv6is010010 fatcat:qxwir2s7yfczjpind6t5bot2tu

Big Data solutions in cloud environment

Maciej Pondel, Jolanta Pondel
2016 Position Papers of the 2016 Federated Conference on Computer Science and Information Systems  
Authors of this paper concentrate od Microsoft Azure cloud offering mainly in area of Big Data and they want to prove that development of Big Data solutions in cloud environment can be efficient from financial  ...  Authors of this paper try to identify and indicate selected challenges that are addressed by by cloud computing concept and Big Data solutions.  ...  Basing on a MapReduce concept Apache™ Hadoop® platform emerged. The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.  ... 
doi:10.15439/2016f584 dblp:conf/fedcsis/PondelP16 fatcat:fsfh3qa7jfantizfwpkmwn5saq

Scalability Study of Hadoop MapReduce and Hive in Big Data Analytics

Khadija Jabeen
2016 International Journal Of Engineering And Computer Science  
Hadoop is a data management solution for the analysis of Big Data. In Hadoop, Hive is used to store the metadata.  ...  This study compares the scalability of Hadoop MapReduce and Hive for small and medium datasets besides showing how the metadata can be created, loaded, accessed and stored using Hivea data warehousing  ...  However, a challenge remains; how do you move an existing data infrastructure to Hadoop, when that infrastructure is based on traditional relational databases and the Structured Query Language (SQL)?  ... 
doi:10.18535/ijecs/v5i11.11 fatcat:6jjayno47fci5kf7532kf7qssq

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.  ...  The Big data analytics layer is responsible for performing various E-governance big data operations over Hadoop clusters running inside the cloud layer.  ... 
doi:10.5120/ijca2018916281 fatcat:3fc4lh6cjfezfc34tfsmwppusa

Cloud Enabled Predictive Big data Analytics Framework for Healthcare

2019 International journal of recent technology and engineering  
It also proposes architecture framework model for predictive big data analytics in healthcare area. It also presents technology for big data analytics.  ...  Big data analytics plays an essential character in order to attain predictive analytics in healthcare.  ...  Data Analytics: For data analytics purpose, Hadoop introduces component called Mahout. It is scalable machine-learning and data mining library.  ... 
doi:10.35940/ijrte.c5395.098319 fatcat:5nyi7telnnft7mddrqmdzsofty

Big Data Service Architecture for E-portal

Vaishnavi Chillal, Nikita Dalvi, Bhagyashree Nagapure, Shamla Naidu, Prof. Rajesh Bharati
2017 IJARCCE  
stored onto Hadoop as storage as well as for Analytics using MapReduce.  ...  Huge data is being collated all the predictive results has been acquired using hadoop.  ...  Big data analytics using Hadoop The volume and the heterogeneity of records with the rate it's miles generated, makes it hard for the existing computing infrastructure to control massive statistics.  ... 
doi:10.17148/ijarcce.2017.6490 fatcat:agvz6drw6zdnpjftoiwn27njsm

Multidimensional Data Analytics with Big Data Management

Jitendra Singh Tomar
2017 IJARCCE  
This paper provides an overview on issues and achievements in the field of analytics over big data. The paper's primary focus is on the analytic methods used for big data.  ...  The study explores the views on analytics over big multidimensional data as well, by highlighting open problems and actual research trends.  ...  High Scalability -High scalability of big data analytics is one of the primer features to be ensured for a MAD-inspired big data analytics system.  ... 
doi:10.17148/ijarcce.2017.6469 fatcat:o2liqsxmjvhr7ns37i6dsuerty

Big Data Analytics

Erhard Rahm
2016 it - Information Technology  
They compare different graph processing approaches and propose the use of a new Hadoop-based graph processing system called Gradoop for enhanced and scalable business intelligence.  ...  Since 2014, the Federal Ministry of Education and Research (BMBF) is funding two competence centers for Big Data: the Berlin Big Data Center (BBDC) and the Competence Center on Scalable Data Solutions  ... 
doi:10.1515/itit-2016-0024 fatcat:o53xh2rqhzhhzeljzaiv5jvtwi

Power of Big Data System for Storing and Processing Huge Data

S. Natarajan, S. Rajarajesware, Suresh Ram R
2019 International Journal of Scientific Research in Science and Technology  
BDAF includes components such as Big Data Infrastructure, Big Data Analytics, Data structures & models, Big Data Lifecycle Management and Big Data Security.  ...  In this paper we try to give an overview of Big Data Analytics system for storing and processing huge volume of various types of data.  ...  HADOOP Hadoop is a framework for performing big data analytics that provides reliability and, scalability by providing an implementation for the MapReduce.  ... 
doi:10.32628/ijsrst196422 fatcat:golivpxwpfb5licqfnpstrz67q

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 is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and selfsufficient  ...  El-SOFANY is with Cairo Higher Institute for Engineering, Computer Science, and Management, Cairo, Egypt.  ... 
doi:10.3991/ijim.v11i2.6561 fatcat:n7fy32zj7jdhvkii2yezymmn5m

Big Data Analytics: A Perspective View

Suman Pandey
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Big data analytics challenges the situation of the present infrastructure of data storage management and also statistical data estimation.  ...  Big data is a term coined for massive data sets with more varied and complex structure and also having the difficulties of storing, analysing and visualizing it for further usages.  ...  Tableau Server is a business intelligence engines provides browser-based analytics and Tableau Public creates interactive visuals. Tableau is also an embed Hadoop infrastructure.  ... 
doi:10.23956/ijarcsse/sv7i5/0237 fatcat:mq75vo3n4rbihnc43mtpktzrru

Cloud based Big Data Analytics: A Survey of Current Research and Future Directions [article]

Samiya Khan, Kashish Ara Shakil, Mansaf Alam
2015 arXiv   pre-print
Cloud computing provides an apt platform for big data analytics in view of the storage and computing requirements of the latter. This makes cloud-based analytics a viable research field.  ...  This data is complex and needs to be stored, processed and analyzed for information that can be used by organizations.  ...  For cloud-based big data analytics, several frameworks like Google MapReduce, Spark, Haloop, Twister, Hadoop Reduce and Hadoop++ are available.  ... 
arXiv:1508.04733v1 fatcat:i2nvrs6kwremzldmkdobbgg43y

Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework

Zhenlong Li, Chaowei Yang, Baoxuan Jin, Manzhu Yu, Kai Liu, Min Sun, Matthew Zhan, Moncho Gomez-Gesteira
2015 PLoS ONE  
To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics.  ...  Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures  ...  This hampers the usage of MPI-based infrastructure in processing big geoscience data.  ... 
doi:10.1371/journal.pone.0116781 pmid:25742012 pmcid:PMC4351198 fatcat:qwlkh75jabcplpjs24emnfixyi

Big Data Analytics Recommendation Solutions for Crop Disease using Hive and Hadoop Platform

Raghu Garg, Himanshu Aggarwal
2016 Indian Journal of Science and Technology  
Statistical Analysis: As the development processes, the requirement of the parallel computing, compatible data management infrastructure and novel analytics paradigm to extract information from huge amounts  ...  Objective: With the digital advancements in the field of agriculture, a large amount of data is being produced constantly as a result agriculture data has entered the world of big data.  ...  Apache Hadoop platform solves the problems of agriculture big data that are of scalable infrastructure and management schemes [5] [6] .  ... 
doi:10.17485/ijst/2016/v9i32/100728 fatcat:iy6op2gntvbnll3mjzirf72uy4
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