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Integrating R and Hadoop for Big Data Analysis [PDF]
, 2014 Analyzing and working with big data could be very diffi cult using classical means like relational database management systems or desktop software packages for statistics and visualization.
Dragoescu, Raluca Mariana +1 more
core +1 more source
Efficient and Reliable Hybrid Cloud Architechture for Big Data
, 2013 The objective of our paper is to propose a Cloud computing framework which is feasible and necessary for handling huge data. In our prototype system we considered national ID database structure of Bangladesh which is prepared by election commission of ...
Ahmed, Nova, Tarannum, Narzu
core +1 more source
Abstract Book for the 27th Congress of the European Hematology Association
, 2022 HemaSphere, Volume 6, Issue S3, Page 1-4130, June 2022.
wiley +1 more source
ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads
, 2017 ARM processors have dominated the mobile device market in the last decade due to their favorable computing to energy ratio. In this age of Cloud data centers and Big Data analytics, the focus is increasingly on power efficient processing, rather than ...
Kalyanasundaram, Jayanth +1 more
core +1 more source
Journal of Flood Risk Management, Volume 17, Issue 3, September 2024.Abstract Built environment flood resilience is a critical challenge facing communities worldwide. Amongst various efforts to resilience, the conception towards data utilization becomes popular with enormous technological advancements. Built environment creates varieties of data at larger volumes throughout their life cycle signifying that the ...
Pavithra Rathnasiri +2 more
wiley +1 more source
Застосування сховищ даних для виявлення плагіату в текстових документах
Adaptivni Sistemi Avtomatičnogo UpravlinnâРобота присвячена застосуванню сховищ даних для виявлення плагіату в текстових документах, в результаті якої побудовано масштабовану програмну архітектуру.
Д. Галайко, Ю. Олійник
doaj +1 more source
Automatic RDF-ization of big data semi-structured datasets
Maskana, 2017 Linked data adoption continues to grow in many fields at a considerable pace. However, some of the most important datasets usually remain underexploited because of two main reasons: the huge volume of the datasets and the lack of methods for automatic ...
Ronald Gualán +4 more
doaj
OS-Assisted Task Preemption for Hadoop
, 2014 This work introduces a new task preemption primitive for Hadoop, that allows tasks to be suspended and resumed exploiting existing memory management mechanisms readily available in modern operating systems. Our technique fills the gap that exists between
Dell'Amico, Matteo +2 more
core +1 more source
MR3: An execution framework for hive and spark
ETRI JournalResource utilization in multi-tenant environments remains a critical challenge for distributed data processing frameworks such as Apache Hive and Apache Spark.
Seonggon Namgung, Sungwoo Park
doaj +1 more source
Automating Data Product Discovery with Large Language Models and Metadata Reasoning
Big Data and Cognitive ComputingThe exponential growth of data over the past decade has created new challenges in transforming raw information into actionable knowledge, particularly through the development of data products.
Michalis Pingos +2 more
doaj +1 more source