Container-Managed ETL Applications for Integrating Data in Near Real-Time

As the analytical capabilities and applications of e-business systems expand, providing real-time access to critical business performance indicators to improve the speed and effectiveness of business operations has become crucial. The monitoring of business activities requires focused, yet incremental enterprise application integration (EAI) efforts and balancing information requirements in real-time with historical perspectives. 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 a timely manner. In this paper, we present an architecture for a container-based ETL (extraction, transformation, loading) environment, which supports a continual near real-time data integration with the aim of decreasing the time it takes to make business decisions and to attain minimized latency between the cause and effect of a business decision. Instead of using vendor proprietary ETL solutions, we use an ETL container for managing ETLets (pronounced “et-lets”) for the ETL processing tasks. The architecture takes full advantage of existing J2EE (Java 2 Platform, Enterprise Edition) technology and enables the implementation of a distributed, scalable, near real-time ETL environment. We have fully implemented the proposed architecture. Furthermore, we compare the ETL container to alternative continuous data integration approaches

A quality management based on the Quality Model life cycle

Managing quality is a hard and expensive task that involves the execution and control of processes and techniques. For a good quality management, it is important to know the current state and the objective to be achieved. It is essential to take into account with a Quality Model that specifies the purposes of managing quality. QuEF (Quality Evaluation Framework) is a framework to manage quality in MDWE (Model-driven Web Engineering). This paper suggests managing quality but pointing out the Quality Model life cycle. The purpose is to converge toward a quality continuous improvement by means of reducing effort and time.Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-EJunta de Andalucía TIC-578

Exploring continuous organisational transformation as a form of network interdependence

In this paper we examine the problematic area of continuous transformation. We conduct our analysis from three theoretical perspectives: the resource based view, social network theory, and stakeholder theory. We found that the continuous transformation can be explained through the concept of Network Interdependence. This paper describes Network Interdependence and develops theoretical propositions from a synthesis of the three theories. Our contribution of Network Interdependence offers fresh insights into managing complex change and offers new ways of looking at organisational transformation

Network Bandwidth Predictive analysis using Stacking

Study presented in this paper is based on analysis of network bandwidth usage and using it as baseline to predict and improvise future network bandwidth usage. Network bandwidth plays an important role in evaluating any application’s performance running on a computer. Although it is not an application dependent parameter, however if affects overall performance of all the applications. Network bandwidth is finite and is limited by the laws of physics as well as technology limitations. Also, it is not free. For any organization, the cost of network bandwidth adds as a major and continual expense in overall infrastructure costs. Thus it becomes very important to continually monitor, analyze and improvise network bandwidth usage pattern. Historic data of network bandwidth usage is captured and used in this study. This historic data after some transformation defines the baseline, which is then absorbed by predictive analytics module. In this study we combine business intelligence along with bandwidth analytics. Business intelligence technique called as Stacking of predictive models is used to optimize the network usage patterns and thus improvise the overall usage of network bandwidth. An exhaustive research is also done while choosing the best combination of algorithms for stacking

Simulation modelling and strategic change : creating the sustainable enterprise

Peer reviewedPublisher PD

Determinants for a generic mobile commerce transformation framework

Current technological advancement has given the necessary impetus for businesses to transform from traditional ways into to mobile business or m-businesses. This transformation has begun from the Internet era, where traditional businesses transformed to e-businesses by taking advantages of the facilities offered by the Internet. Recent development in wireless technology facilitated businesses to move further to m-businesses. Despite the development in the technical domain, it appears that businesses still struggle to comprehend the processes involved in the transformation because a proper framework is yet to evolve. This work-in-progress paper provides a background to such transformation with a method to achieve this transformation

THE DRIVERS OF PRODUCTIVITY

This paper will try to demonstrate that productivity is the basis of all productive systems, which are viewed as transformers of utility and value, since the search for maximum productive efficiency is necessary to reduce production costs and thus produce value. After presenting a coherent frame of reference, we shall examine the drivers of productivity and then move on to discuss the consequences of the continual growth in productivity and the non-economic aspects linked to the gradual improvement in productivit

Process and IT (Editorial)

Purpose – This paper’s aim is to provide a fresh perspective on how to address process improvement and information technology (IT) in an integrated fashion in order to improve the efficiency of the construction process. Design/methodology/approach –This paper looks at the problems associated with the “conventional” way of addressing IT within construction, and suggests improvements based on integrating three core organisational resources: people, process and technology. Findings – The existing view that IT on its own brings organisational benefits leads to only marginal improvements in organisational efficiency if not resulting in negative impact. However, by correctly integrating people, process and IT initiatives, significant benefits can be achieved. Originality/value – This paper provides value by providing a conceptualisation for addressing people, process and technology within the construction sector

Evolving IT management frameworks towards a sustainable future

Information Technology (IT) Management Frameworks are a fundamental tool used by IT professionals to efficiently manage IT resources and are globally applied to IT service delivery and management. Sustainability is a recent notion that describes the need for economic, environmental and social development with- out compromising the ability of future generations to meet their own needs; this applies to businesses as well as society in general. Unfortunately, IT Management Frameworks do not take sustainability into account. To the practitioner this paper demonstrates sustainability integration thereby allowing CIOs and IT managers to improve the sustainability of their organisation. To the researcher this paper argues that sustainability concerns need to be provided to IT Management through its integration into the mainstream of IT Management Frameworks. This is demonstrated through the high-level integration of sustainability in Six Sigma, C OBI T, ITIL and PRINCE2

A simulation model of reinforced concrete beam containing expanded polystyrene beads (EPS) and palm oil fueled ash (POFA) using finite element method

In this study, Expanded Polystyrene bead (EPS) and Palm Oil Fuelled Ash (POFA) will be used to replace several percents of cement and aggregate in reinforced concrete beam construction. EPS can produce lightweight concrete, and the use of POFA can produce high strength concrete and can also reduce waste disposal. The reinforced concrete beams were analysed using computer software called ABAQUS. The main reason Abaqus software is used as analytics software for this project is that the software is designed specifically for analyzing advanced structural and heat transfer. It is designed for both linear and nonlinear pressure analyses for both tiny and huge structures. This software can also be used to analyze the proposed reinforced concrete beam failure pattern of EPS and POFA. The percentage of EPS and POFA were 40% to 60% in concrete as replacement material. The information obtained from Abaqus is then used to verify the experimental results. The data also contains the appropriate percentage of EPS and POFA in the reinforced concrete beam where performance in terms of bending, pressure, and failure pattern is at maximum. The result shows decrease performance of RC beam containing 40-60% EPS and POFA