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The End of the x86 Dominance in Databases?

Huanchen Zhang
2019 Conference on Innovative Data Systems Research  
The explosion of "big-data" analytics imposes great challenges on traditional relational databases that are optimized for the CPU architecture.  ...  We do not know when the x86 era will end, but the CSA might challenge its dominance in databases soon. Figure 1 : 1 Figure 1: CSA Microarchitecture [1].  ... 
dblp:conf/cidr/Zhang19 fatcat:ueypibi4ljbo3cq4bfdxj7nj5u

Design and Implementation of an Architectural Framework for Web Portals in a Ubiquitous Pervasive Environment

Muhammad Taqi Raza, Seung-Wha Yoo, Ki-Hyung Kim, Seong-Soon Joo, Wun-Cheol Jeong
2009 Sensors  
To provide an in-depth analysis, firstly, we provide an analytical model for query processing at the servers for our framework-oriented web portal.  ...  This inherent functionality of web portals limits their role for resource constrained digital devices in the Ubiquitous era (U-era). This paper presents a framework for the web portal in the U-era.  ...  For the evaluation of our proposed framework, we firstly model the service response time at the servers by providing an analytical model; and then we have deployed a testbed that provides end-to-end analysis  ... 
doi:10.3390/s90705201 pmid:22346693 pmcid:PMC3274153 fatcat:gnrfmlykqvai5jjncpauoq7pp4

Data Lake Architecture for a Banking Data Model

Darko Golec
2019 Social Science Research Network  
The aim of the paper is presenting a possible data lake architecture for the banking industry model which is considered in a certain international banking company.  ...  Main advantages of the data lake landscape are commodity hardware, open source technologies with cost-free software and elastic scalability.  ...  This paper will describe a possible end-to-end architecture for a banking data model. Tools will not be covered.  ... 
doi:10.2139/ssrn.3490476 fatcat:kw4sriccabcqnor4m3zc32l7ta

Big Data Management Challenges

Sabrina Šuman
2020 International Journal of Advanced Trends in Computer Science and Engineering  
Traditional platforms cannot fully meet the analytical needs of the company if support for an unstructured data type is needed.  ...  This paper gives an overview and synthesis of areas related to big data technologies, with a series of guidelines for adopting the appropriate software, storage structure, and efficient deployment for  ...  Data management context in big data era In order to show a wider context related to data management in big data era, a synthetic graphical overview of the performance management cycle of an enterprise  ... 
doi:10.30534/ijatcse/2020/102912020 fatcat:iwnuledqlnakxaeq36yc5kgzji

Research Guidelines on Big Data and Data Analytics: A Survey

B Vaishnavi, V Uma, C Sunitha Ram
2019 Zenodo  
Large number of devices and objects are now linked to the internet,to transmit data,and collect data back for analytics.  ...  Then a structure may be established based on the emerging innovation behind data and analytics, managing, exploring and enabling the challenges in different task leads to the evolution of Big Data and  ...  Acknowledgments Our sincere thanks to, who have contributed towards thedevelopment of this research paper.  ... 
doi:10.5281/zenodo.2550000 fatcat:7ehpe73t6fcalazyscguow7qsa

MOVING FROM TRADITION DATA WAREHOUSE TO ENTERPRISE DATA MANAGEMENT: A CASE STUDY

2014 Issues in Information Systems  
Data warehouse is becoming increasingly popular in organizations due to the need for enterprises to gather all of their data in a single place for in-depth analysis and also to segregate such analytical  ...  In the era of big data, organizations today rely of huge quantity of data from diverse sources and need to integrate this data in a speedy manner to gain any strategic advantage out of the data.  ...  INTRODUCTION Business today rely on various data sources not only for integrating its business processes in an operational sense but also for gaining advantage by analytically using information against  ... 
doi:10.48009/2_iis_2014_133-140 fatcat:pdyvnphddngploa6bzcqo4du4e

Hadoop as a Service: Integration of a Company's Heterogeneous Data to a Remote Hadoop Infrastructure

Yordan Kalmukov, Milko Marinov
2022 International Journal of Advanced Computer Science and Applications  
Therefore, this article proposes an architecture for integration of a company's heterogeneous data (stored within a database of any type, or in the file system) to a remote Hadoop cluster, providing powerful  ...  However, having a single data analyst with a computer is far from enough in the era of big data.  ...  Fund of the "Angel Kanchev" University of Ruse.  ... 
doi:10.14569/ijacsa.2022.0130406 fatcat:ll7ojcbxqrazjkntxpvnffjqt4

Semantic Intelligence in Big Data Applications [article]

Valentina Janev
2021 arXiv   pre-print
This vast amount of data creates several new opportunities for modern enterprises, especially for analysing the enterprise value chains in a broader sense.  ...  be created by the Internet of Things devices.  ...  No: 809965), and partly by the Ministry of Science and Technological Development of the Republic of Serbia and Science Fund of Republic of Serbia (Artemis).  ... 
arXiv:2107.03853v1 fatcat:5odmdvcfd5ewrnfao5tyexpf2q

Data lake: a new ideology in big data era

Pwint Phyu Khine, Zhao Shun Wang, Kei Eguchi, Tong Chen
2018 ITM Web of Conferences  
Data Lake is one of the arguable concepts appeared in the era of big data. Data Lake original idea is originated from business field instead of academic field.  ...  However, the potential to change the data landscape makes the research of Data Lake worthwhile.  ...  The work is performed under the grant No 2017YFB0202303, National Key Research and Development plan 2017 for High Performance Computing.  ... 
doi:10.1051/itmconf/20181703025 fatcat:uzaxbuqtyfgn5n2f4wpfl4ague

A Study of Analysis and Trends for Embedded Business Intelligence Market

Tanmayee Tushar Parbat
2021 International Journal for Research in Applied Science and Engineering Technology  
For example, we look at the integration of collaboration rooms and a self-learning knowledge database that aims to be a source for a report recommender.  ...  Keywords: Business Intelligence, Big Data, Architecture, Self-Service, Analytics  ...  Organizations are discovering the power of embedded analytics which accelerate time to insight, deliver greater value for end users, and provide a greater strategic value for the organization.  ... 
doi:10.22214/ijraset.2021.39323 fatcat:aawmyakmvjh7rl6mrkuplevfam

Talking about the Improvement of Financial Accounting in Manufacturing Industry in the Age of Internet Big Data

Yanrong Lv, Yang Yang, Meng Cui
2019 IOP Conference Series: Materials Science and Engineering  
The article expounds the changes in financial analysis methods and analytical thinking of manufacturing enterprises in the era of big data, and then points out that big data technology has improved the  ...  "decision usefulness" of financial analysis, and built a financial accounting sharing information platform in the era of Internet big data to achieve The financial information between the corporate departments  ...  Build a big data internet financial sharing platform Data Center Architecture The architecture of the data center is a Service-Oriented Architecture, also known as an SOA architecture [4] .  ... 
doi:10.1088/1757-899x/677/4/042111 fatcat:xkaxshyvbbd7vn2jnefl6ixlbq

General architecture for data analysis in industry 4.0 using SysML and model based system engineering

Marcio Arantes, Renan Bonnard, Andre Pierre Mattei, Pierre de Saqui-Sannes
2018 2018 Annual IEEE International Systems Conference (SysCon)  
The paper presents an architecture framework to allow data analysis in different factories in the Industry 4.0 context. A MBSE approach is proposed and the use of SysML is assessed in that context.  ...  The industrial manufacturing sector has substantially evolved over the past decade, with the collect and analyze of sensors and apparatus data.  ...  GENERAL ARCHITECTURE As a result of the MBSE prototype developed in the previous section, this section presents the general architecture of an advanced Industry 4.0 platform.  ... 
doi:10.1109/syscon.2018.8369574 dblp:conf/syscon/ArantesBMS18 fatcat:t6gjj7nekvbmpdmvar5fgyttva

Chapter 1 Ecosystem of Big Data [chapter]

Valentina Janev
2020 Lecture Notes in Computer Science  
and the need for using semantics for improving the data management, integration, processing, and analytical tasks.  ...  This introductory chapter serves to characterize the relevant aspects of the Big Data Ecosystem with respect to big data characteristics, the components needed for implementing end-to-end big data processing  ...  While the business solutions were tied to relational and multi-dimensional database models in the Analytics 1.0 era, the Analytics 2.0 era brought NOSQL and big data database models that opened up new  ... 
doi:10.1007/978-3-030-53199-7_1 fatcat:krt6ffhrqvdn3ctkgywbzhqgni

SAP HANA and its performance benefits [article]

Timur Mirzoev, Craig Brockman
2014 arXiv   pre-print
The performance benefits are important factors for DB calculations.Some of the benefits are quantified and the demonstrated by the defined sets of data.  ...  In-memory computing has changed the landscape of database technology.  ...  Emerging technology in the area of in-memory computing and products like SAP HANA are changing the database technology arena and the analytics field and the overall system architectures [3] .  ... 
arXiv:1404.2160v1 fatcat:4xuq3fk3vfewxetpeulmdw7as4

Implementing an Edge-Fog-Cloud architecture for stream data management [article]

Lilian Hernandez, Hung Cao, Monica Wachowicz
2017 arXiv   pre-print
The Internet of Moving Things (IoMT) requires support for a data life cycle process ranging from sorting, cleaning and monitoring data streams to more complex tasks such as querying, aggregation, and analytics  ...  Preliminary results are showing the advantages of running data life cycle tasks for reducing the volume of data streams that are redundant and should not be transported to the cloud.  ...  The authors are grateful to CODIAC Transit for providing the data streams used in this study, and Compute Canada for hosting one virtual machine that was used for the implementation of the cloud layer.  ... 
arXiv:1708.00352v2 fatcat:xxjqff6lqffltotkmaazp56hce
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