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Towards a Scalable Enterprise Content Analytics Platform

Kevin S. Beyer, Vuk Ercegovac, Rajasekar Krishnamurthy, Sriram Raghavan, Jun Rao, Frederick Reiss, Eugene J. Shekita, David E. Simmen, Sandeep Tata, Shivakumar Vaithyanathan, Huaiyu Zhu
2009 IEEE Data Engineering Bulletin  
At the IBM Almaden Research Center, we are developing an "enterprise content analytics platform" that leverages the Hadoop map-reduce framework to support this emerging class of analytic workloads.  ...  Traditional enterprise infrastruture or analytics is geared towards analytics on structured data (in support of OLAP-driven reporting and analysis) and is not designed to meet the demands of large-scale  ...  In addition, we also laid out the broad challenges that lay ahead in building a dynamic, scalable, highperformance, and usable content analytics platform for enterprises.  ... 
dblp:journals/debu/BeyerEKRRRSSTVZ09 fatcat:leunst5opncbzpy7o3sgav4jkq

Reference Architecture for SMAC solutions [article]

Shankar Kambhampaty, Sasirekha Kambhampaty
2016 arXiv   pre-print
Web and internet computing is evolving into a combination of social media, mobile, analytics and cloud (SMAC) solutions.  ...  This paper presents an architecture model for the integrated approach that can form the basis for solutions and result in reuse, integration and agility for the business and IT in an enterprise.  ...  An integrated approach with a common layer acting as "broker" for social media, mobile, analytics and cloud platforms can enable scalable (due to cloud support), customer facing (due to social media and  ... 
arXiv:1601.06389v1 fatcat:mnzsmm7fbvh2nnrgbvehnmdyny

openSAP: Evaluating xMOOC Usage and Challenges for Scalable and Open Enterprise Education

Jan Renz, Florian Schwerer, Christoph Meinel
2016 International Journal of Advanced Corporate Learning  
This paper provides a brief introduction to the first Enterprise MOOC platform openSAP, including details about the learning environment and the underlying platform, different team roles and usage statistics  ...  With its new course offering, SAP responds to a rising demand for scalable knowledge transfer due to the digital transformation by making use of the Massive Open Online Courses (MOOC) format.  ...  Based on a report from Towards Maturity 8% of companies are using MOOCs in an enterprise context, while another 7% are planning to do so in the future [5] .  ... 
doi:10.3991/ijac.v9i2.6008 fatcat:or7qubp7lrgphnacs6ti5yvrva

Towards an IoT Platform with Edge Intelligence Capabilities

Vladimir FLORIAN, Gabriel NEAGU
2018 Studies in Informatics and Control  
The paper presents a solution for implementing this architectural extension to a current, cloud-oriented pilot IoT platform.  ...  The adopted approach combines features and functionalities of both content-based and topic-based publish/subscribe models, with the aim to promote Edge Analytics principles by moving computation closer  ...  It has to be a distributed scalable notification service able to reside on several Fog nodes and to deliver messages to the subscribers by exposing a content based publish/subscribe specific API.  ... 
doi:10.24846/v27i1y201807 fatcat:a645gpm2xng2bewi6k33mvdzam

Clouds for Scalable Big Data Analytics

Domenico Talia
2013 Computer  
Extracting useful knowledge from huge digital datasets requires smart and scalable analytics services, programming tools, and applications.  ...  TOWARD CLOUD-BASED BIG DATA ANALYTICS Big data refers to massive, heterogeneous, and often unstructured digital content that is difficult to process using traditional data management tools and techniques  ...  A dvancing the cloud from a computation and data management infrastructure to a pervasive and scalable data analytics platform requires new models, tools, and technologies that support the implementation  ... 
doi:10.1109/mc.2013.162 fatcat:tswk5q4irfbwfkkw44bhkhfa2u

THE CONCEPT OF CLOUD MARKETING

Zvjezdana Gavrilović, Mirjana Maksimović
2021 НОВИ ЕКОНОМИСТ  
Industry 4.0 can be interpreted as a business discipline that has led to the automation and digitalization of business systems thanks to Internet of Тhings, Cyber Physical Systems, Cognitive computing,  ...  Cloud computing with unlimited networking capabilities enables businesses to optimize their business processes and activate their applications, which provide them with data necessary for business analytics  ...  platform (for building predictive models of 1-to-1 customer's journey), Marketing Automation, Content and Messaging platform, Analytics, and Marketing Operations ( Source: (Cox, 2016) In the era of  ... 
doi:10.7251/noe1926049g fatcat:x5ihlu6ljvaofmupl5qgqi6tn4

Modern Network Analytics Architecture Stack to Enterprise Networks

K. Palanivel
2019 International Journal for Research in Applied Science and Engineering Technology  
Analytics play a critical role in network operations in an enterprise network environment.  ...  There is no specific network analytics architecture stack has been proposed yet. Hence, it is proposed to design a network analytics architecture stack to an enterprise network environment.  ...  Fig. 2 represents a block diagram of network analytics platform.  ... 
doi:10.22214/ijraset.2019.4480 fatcat:otcfqi7c4beb7mid5chcp2nsyi

Building an Industrial IoT Infrastructure with open Source Software for Smart Energy

Christos Alexakos, Andreas Komninos, Christos Anagnostopoulos, George Kalogeras, Alkiviadis Savvopoulos, Athanasios Kalogeras
2019 2019 First International Conference on Societal Automation (SA)  
The approach is evaluated in a smart building scenario.  ...  This article studies the IIoT reference architectures and the existing open source IoT platforms for proposing an integrated architecture for installing IIoT infrastructure that can collect and analyze  ...  Data Analytics connection with data analytics platforms and tools Scalability API or SDK for the integration or communication with and other system TABLE II IOT II PLATFORMS COMPARISON CHARACTERISTICS  ... 
doi:10.1109/sa47457.2019.8938057 dblp:conf/sa/AlexakosKAKSK19 fatcat:h4lyhbrlybem5hir7hzuqq37ea

Cloud computing solutions in the management of a contemporary business organization. The vendor and user perspective

Leszek Ziora
2018 Informatyka Ekonomiczna  
The aim of the paper is to present the current state of cloud computing solutions application in the management of a contemporary business organization.  ...  The author outlined such theoretical aspects of cloud computing solutions as its key concept and architecture, and the benefits resulting from its implementation in contemporary companies and enterprises  ...  storage such as Dropbox, OneDrive, then in an almost equal way the platforms allowing for access to audio content such as Spotify, Tidal, Deezer and services providing video content such as Netflix, Amazon  ... 
doi:10.15611/ie.2018.4.13 fatcat:rztxe5wttng7hgqgu76bdprqri

The Classification Model of Affecting the Enterprise Usage on Cloud Computing Based on Decision Tree

Heyong Wang, Jinjiong Lan
2014 Open Automation and Control Systems Journal  
Contrasted with the other three typical classification model, Decision tree C5.0 model is verified as the most suitable and stable model to predict whether an enterprise will use cloud computing.  ...  commercialization process of cloud computing, this paper studies the factors affecting the commercialization of cloud computing and Decision tree C5.0 is adopted to study the classification model for analyzing enterprise  ...  Cloud computing obtains the required hardware, software and platform resources services through the network by on-demand and scalable way.  ... 
doi:10.2174/1874444301406010403 fatcat:yy7af7clrnawflj4kbpuo7fkci

BIG DATA ANALYTICS: LECTURES FROM THE LAMBDA NETWORK

Valentina Janev, Dejan Paunović, Damien Graux, Hajira Jabeen, Emanuel Sallinger, Sahar Vahdati
2019 Zenodo  
ig Data Analytics is a crucial component of the Big Data paradigm and corresponds to the knowledge extraction from an enormous amount of data.  ...  This paper provides an overview of the LAMBDA training infrastructure and the open education contents developed so far, as well as initial evaluation about the possibilities for adoption of lectures at  ...  No: TR-32010) and partly by the H2020 project "Learning, Applying, Multiplying Big Data Analytics" (GA No. 809965).  ... 
doi:10.5281/zenodo.3555275 fatcat:gmafcchntze4znth3jbih5rlb4

Data Lake Architecture for a Banking Data Model

Darko Golec
2019 Social Science Research Network  
One such model is a banking model for data warehouse.  ...  Main advantages of the data lake landscape are commodity hardware, open source technologies with cost-free software and elastic scalability.  ...  Industry Model for Banking Related Work A number of financial institutions and banks have implemented industry data warehouse model for banking into their Analytics platforms.  ... 
doi:10.2139/ssrn.3490476 fatcat:kw4sriccabcqnor4m3zc32l7ta

THE INVESTIGATION OF THE OPPORTUNITIES OF BIG DATA ANALYTICS AS ANALYTICS-AS-A-SERVICE IN CLOUD COMPUTING FOR OIL AND GAS INDUSTRY
NEFT-QAZ SƏNAYESİ ÜÇÜN BIG DATA ANALİTİKANIN CLOUD COMPUTING PLATFORMASINDA ANALYTICS-AS-A-SERVICE KİMİ REALLAŞDIRILMA İMKANLARININ TƏDQİQİ

Ramiz Aliguliyev, Yadigar Imamverdiyev, Fargana Abdullayeva
2016 Problems of Information Technology  
The suggestions and recommendations are presented for the realization of big data analytics as Analytics-as-a-Service.  ...  The analysis of large-volume data for big data analytics and the purposes of usage of cloud computing platform are explored.  ...  A specific cloud in analytics sphere of an enterprise is called Blue Insight.  ... 
doi:10.25045/jpit.v07.i1.02 fatcat:irh3voupyfcw5ecxzletyjcdpu

Taming Hybrid-Cloud Fast and Scalable Graph Analytics at Twitter [article]

Chunxu Tang, Yao Li, Zhenxiao Luo, Mainak Ghosh, Huijun Wu, Lu Zhang, Anneliese Lu, Ruchin Kabra, Nikhil Kantibhai Navadiya, Prachi Mishra, Prateek Mukhedkar, Vrushali Channapattan
2022 arXiv   pre-print
To bring fast and scalable graph analytics capability into production, we investigate the challenges we are facing in large-scale graph analytics at Twitter and propose a unified graph analytics platform  ...  engagement, serving the most relevant content, and promoting healthier conversations.  ...  ACKNOWLEDGMENT We would like to express our gratitude to everyone who has served in the Twitter Graph Analytics Working Group for their profound insight and dedicated effort.  ... 
arXiv:2204.11338v1 fatcat:hf3kd4dqbfbopaha2fvo4opd3y

Driving digital transformation of comprehensive primary health services at scale in India: an enterprise architecture framework

Sunita Nadhamuni, Oommen John, Mallari Kulkarni, Eshan Nanda, Sethuraman Venkatraman, Devesh Varma, Satchit Balsari, Nachiket Gudi, Shantidev Samantaray, Haritha Reddy, Vikas Sheel
2021 BMJ Global Health  
In the context of health and wellness centres, building a responsive, resilient and reliable enterprise architecture would be a fundamental path towards strengthening health systems leveraging digital  ...  Core principles of an enterprise platform architecture covering four platform levers to facilitate seamless service delivery, monitor programmatic performance and facilitate research in the context of  ...  Enterprise architecture: a platform thinking approach The inefficiencies and risks posited by the current fragmented health IT landscape can be addressed by adopting a systemic platform approach.  ... 
doi:10.1136/bmjgh-2021-005242 pmid:34312149 pmcid:PMC8728378 fatcat:ajgo6yzc2rdcdau3s2m62fwcna
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