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Using a Business Activity Monitoring and SOA for a Real-Time ETL

Abdelmgeid A., Waleed M.
2018 International Journal of Computer Applications  
Data warehousing technology has made a huge effect in the world of business; it transforms information into data that helps analysts to make strategic decisions. A real-time  ...  Data that is obtained from various information sources needs excessively handling for managing, analyzing and monitoring. Data warehouse consolidates data coming from different data sources.  ...  BUSINESS ACTIVITY MONITORING FRAMEWORK In this paper, we proposed a framework based real-time data warehouse architecture, as shows in Figure 2 .  ... 
doi:10.5120/ijca2018916152 fatcat:pdqlhc65sff7nc54vaneqxp47m

Near Real-Time Data Warehousing with Multi-stage Trickle and Flip [chapter]

Janis Zuters
2011 Lecture Notes in Business Information Processing  
Today's business however asks for fresher data. Real-time warehousing is one of the trends to accomplish this, but there are a number of challenges to move towards true real-time.  ...  A data warehouse typically is a collection of historical data designed for decision support, so it is updated from the sources periodically, mostly on a daily basis.  ...  Near real-time data warehousing addresses the challenge of need for fresh data by simply shortening the data warehouse refreshment intervals and hence, delivering source data to the data warehouse with  ... 
doi:10.1007/978-3-642-24511-4_6 fatcat:il2rjh6hibgldcucbs4rxvjk7q

From Data Warehouses to Streaming Warehouses: A Survey on the Challenges for Real-Time Data Warehousing and Available Solutions

Revathy. S, Saravana Balaji. B, N. K. Karthikeyan
2013 International Journal of Computer Applications  
This survey looks into the various challenges involved in building a real-time Data Warehouse and some of the solutions available to overcome them.  ...  When shifting from a traditional offline and time-consuming data warehousing system to a real-time system, two important considerations are speeding up the ETL and the OLAP process.  ...  Enabling Real-Time ETL Existing ETL systems can be modified to perform real-time or near real-time warehouse loading.  ... 
doi:10.5120/13984-1990 fatcat:sgjvpmysyfhhlki3y63gae3ksq

Using Data Warehouse to Support Building Strategy or Forecast Business Tend [article]

Phuc V. Nguyen
2011 arXiv   pre-print
So it can evolve into a multi-tier structure where parts of the organization take information from the main data warehouse into their own systems.  ...  Data warehouse can track customer interactions over the whole of the customer's lifetime.  ...  The following are a few of the challenges of adding real-time data to these systems: Enabling Real-time ETL One of the most difficult parts of building any data warehouse is the process of extracting  ... 
arXiv:1205.0724v1 fatcat:iazpss5j5ngovcyqzpax4dikbu

Sense & response service architecture (SARESA)

Tho Manh Nguyen, Josef Schiefer, A. Min Tjoa
2005 Proceedings of the 8th ACM international workshop on Data warehousing and OLAP - DOLAP  
A scenario from the area of mobile phone fraud detection was chosen for building a prototype that illustrates the proposed approach by using current available IT technologies.  ...  However, traditional Business Intelligence (BI) and Data Warehousing technologies do not directly address time sensitive monitoring and analytical requirements.  ...  ACKNOWLEDGMENTS The first author has been supported by a Technology Grant South East Asia (No. 322/1/EZA/2002) of the Austrian Council Research and Technology and the ASEA-UNINET.  ... 
doi:10.1145/1097002.1097015 dblp:conf/dolap/NguyenST05 fatcat:7puuaumf6baebm7y4nxv557ixe

Active XML-based Web data integration

Rashed Salem, Omar Boussaïd, Jérôme Darmont
2013 Information Systems Frontiers  
Our framework is also subscribed to web services for real-time change data capture.  ...  Our framework is also incorporates active rules to automate and activate different integration services. Finally, we present a web application prototype as a proof of concept.  ...  Active and Real-Time Warehousing To improve data freshness and to realize real-time decision support systems, Tho & Tjoa (2003) propose a framework for building Zero-Latency Data Warehouse (ZLDW).  ... 
doi:10.1007/s10796-012-9405-6 fatcat:vl5yw3f6wjdexffqp2rerss2bq

Process Data Store: A Real-Time Data Store for Monitoring Business Processes [chapter]

Josef Schiefer, Beate List, Robert M. Bruckner
2003 Lecture Notes in Computer Science  
In this paper we introduce an architecture for business process monitoring based on a process data store which is a data foundation for operational and tactical decision-making by providing real-time access  ...  While the investments in data warehouse technologies have resulted in considerable information processing efficiencies for the organizations, there is still a significant delay in the time required for  ...  operations) in near real-time.  ... 
doi:10.1007/978-3-540-45227-0_74 fatcat:ewgprnphnrdbnlrsq4vokaipv4

Striving towards Near Real-Time Data Integration for Data Warehouses [chapter]

Robert M. Bruckner, Beate List, Josef Schiefer
2002 Lecture Notes in Computer Science  
In this paper we present an architecture of an ETL environment for real-time data warehouses, which supports a continual near real-time data propagation.  ...  A real-time data warehouse aims at decreasing the time it takes to make business decisions and tries to attain zero latency between the cause and effect of a business decision.  ...  Real-time data warehouses help the operational systems deliver this information in near real-time.  ... 
doi:10.1007/3-540-46145-0_31 fatcat:ggosflm3azgcxned2pkra3ktny

Monitoring Business Transactions for a Real-time Data Warehouses

Abdelmgeid A., Waleed M.
2016 International Journal of Computer Applications  
purpose of analysis, which presuppose the building of a real-time data warehouse (RTDW).  ...  into a real-time data warehouse and business intelligence (BI) system.  ...  Real Time Data Warehouse architecture consists of a lot of views, approaches. Before building RTDW, requirements must be clearly analyzed from a real time needs perspective.  ... 
doi:10.5120/ijca2016910828 fatcat:tqjlsejw2vfd3a3taktl7kwfba

Empirical Study on Dynamic Warehousing

C K Bhensdadia, Yogeshwar P Kosta
2010 Journal of clean energy technologies  
The decision making process in traditional data warehouse environments is often delayed because data cannot be propagated from the source system to the data warehouse in time.  ...  Keeping data current by minimizing the latency from when data is captured until it is available to decision makers in this context is a difficult task.  ...  We express our gratitude to the management of DDU for providing us research opportunities and their wholehearted support for such activities.  ... 
doi:10.7763/ijcte.2010.v2.237 fatcat:a7yuqjf5lrh5vozbxyvniltqmy

Real-Time Analysis of Students' Activities on an E-Learning Platform based on Apache Spark

Abdelmajid Chaffai, Larbi Hassouni, Houda Anoun
2017 International Journal of Advanced Computer Science and Applications  
analytics on students' activities data and Apache Hive as a data warehouse for storing the processed data and for use by various reporting tools.  ...  Real time analytics is the capacity to extract valuables insights from data that comes continuously from activities on the web or network sensors.  ...  To process data in real time we use Spark Streaming library. Apache Hive is used to build our data warehouse hosted in a distributed storage system.  ... 
doi:10.14569/ijacsa.2017.080715 fatcat:xqi4fxf6ebc2ta7belpgp5kyti

Real-Time Business Intelligence for the Utilities Industry

2012 Database Systems Journal  
The focus of this paper is on the importance of real-time business intelligence (RTBI) in the utilities industry, outlining our vision of real-time business intelligence for this industry.  ...  In today's competitive environment with rapid innovation in smart metering and smart grids, there is an increased need for real-time business intelligence (RTBI) in the utilities industry.  ...  [14] A real-time business intelligence system is based on a real-time ETL and a real-time data warehouse.  ... 
doaj:c3a67f0f2b3749a2ba5c14c69ab62420 fatcat:sj5wsnc57zam7lzkjypf6mtymu

Modeling the Spatial Dimensions of Warehouse Rent Determinants: A Case Study of Seoul Metropolitan Area, South Korea

Hyunwoo Lim, Minyoung Park
2019 Sustainability  
The results of this study allowed us to provide meaningful insights into the sustainable development of urban logistics facilities through a better understanding of the interaction between logistics activities  ...  The MGWR results identified the distance to the nearest highway interchange, repackaging service, and built-in ramps as globally fixed variables and contract floor space, total building floor space, building  ...  Introduction Warehouses match product availability to customer orders by storing inventory over time, acting as a buffer between supply and demand.  ... 
doi:10.3390/su12010259 fatcat:xuo2rfb5zbb2rm7opxspvvthya

Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges [chapter]

Tho Manh Nguyen, A Min Tjoa, Juan Trujillo
2005 Lecture Notes in Computer Science  
As a further consequence, the concept of near-real time data warehouses was initially announced in [4] while concurrently we still observe further intense investigations on parallel and distributed warehousing  ...  Current emerging real world applications such as real-time data warehousing, analysis of spatial and spatiotemporal data, OLAP mining, mobile OLAP and more recent applications in natural sciences (especially  ... 
doi:10.1007/11546849_52 fatcat:sdcervokrzasvanqlcnbp4jsp4

Comparing Prescription Sales, Google Trends and CDC Data as Flu Activity Indicators

Avinash Patwardhan, David Lorber
2013 Online Journal of Public Health Informatics  
Acknowledgments We wish to acknowledge Criselda Valencia (Lead Analyst Support & Deployment Data Warehouse at Walgreen Co.), Erma Villarreal (IT Manager -Support & Deployment Data Warehouse at Walgreen  ...  Co.), and Zhongwen Huang (Senior Analyst Outcomes & Analytics at Walgreen Co.) for pulling data for us.  ...  Community pharmacies with large footprints might want to proactively build automated syndromic surveillance systems with near real time reporting capabilities and explore the possibility of building predictive  ... 
doi:10.5210/ojphi.v5i1.4377 fatcat:6jfb3wdsybeblg6ixvh3qocaaq
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