1,720,977 research outputs found
TCP/IP XML Solution
Get PDFSince its introduction, Extensible Markup Language (XML) has evolved and helped us evolve in the way which we think about structuring, describing, and exchanging information. The ways in which XML is used in the software industry are many and growing. For example, for Web services the importance of XML is crucial; all key Web service technologies are based on it. In this paper it’s presented a TCP/IP XML solution for integrating an intermediary trading system with the Bucharest Stock Exchange trading system. The solution is presented from the intermediary point of view and can be the first step of a complete SOA solution.TCP/IP, XML, Bucharest Stock Exchange, Java
The Level of Information Systems Integration in Romania
Get PDFIntegration is an activity that unites people, equipments, programs but also managerial practices and helps a company to put its knowledge into good use. In Romania, more and more private companies choose to have integrated systems to help them grow. Public owned companies and institutions, for example The National House of Pensions and Other Social Insurance Right, invested large amounts of founds in the development of new information systems to help them gather, process and disseminate data from the population.integration, information systems, standards, data integration, application integration
Reverse Engineering in Data Integration Software
Get PDFIntegrated applications are complex solutions that help build better consolidated and standardized systems from existing (usually transactional) systems. Integrated applications are complex solutions, whose complexity are determined by the economic processes they implement, the amount of data employed (millions of records grouped in hundreds of tables, databases, hundreds of GB) and the number of users [11]. Oracle, once mainly known for his database and e-business solutions has been constantly expanding its product portfolio, providing solutions for SOA, BPA, Warehousing, Big Data and Cloud Computing. In this article I will review the facilities and the power of using a dedicated integration tool in an environment with multiple data sources and a target data mart
Hybrid Solution for Integrated Trading
Get PDFIntegrated applications are complex solutions, whose complexity are determined by the economic processes they implement, the amount of data employed (millions of records grouped in hundreds of tables, databases, hundreds of GB) and the number of users. Service oriented architecture (SOA), is now the most talked-about integration solution in mainstream journals, addressing both simple applications, for a department but also at enterprise level. SOA can refer to software architecture or to a way of standardizing the technical architecture of an enterprise and it shows its value when operating in several distinct and heterogeneous environments
Hybrid Solution for Integrated Trading
Get PDFIntegrated applications are complex solutions, whose complexity are determined by the economic processes they implement, the amount of data employed (millions of records grouped in hundreds of tables, databases, hundreds of GB) and the number of users. Service oriented architecture (SOA), is now the most talked-about integration solution in mainstream journals, addressing both simple applications, for a department but also at enterprise level. SOA can refer to software architecture or to a way of standardizing the technical architecture of an enterprise and it shows its value when operating in several distinct and heterogeneous environments.System Integration, Data Integration, Web Services, Java, XML, Stock Market
Approaches for parallel data loading and data querying
No full textThis paper aims to bring contributions in data loading and data querying using products from the Apache Hadoop ecosystem. Currently, we talk about Big Data at up to zettabytes scale (10^21 bytes). Research in this area is usually interdisciplinary combining elements from statistics, system integration, parallel processing and cloud computing
Considerations Regarding Designing and Administrating SOA Solutions
Get PDFSolutions like SOA, Cloud, SaaS, Iaas or PaaS are not only buzzwords, they became a business reality because they are relative cheap and easy to use. SOA and Cloud are tightly linked because most cloud solutions are being defined using SOA making them feasible from the business perspective, because it’s hard to move to cloud when you are using a tightly coupled architecture. Big companies such as Oracle, Microsoft, IBM or Amazon offer many commercial solutions providing software as a service, as well as hosted and managed alternatives to classical deployment. For firms that are building private clouds and for service providers that are building public clouds, diverse solutions are offered by the big players for platform as a service and infrastructure as a service
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Processing unstructured documents and social media using Big Data techniques
Get PDFBig Data technologies can be very useful when it comes to storing and processing using sophisticated algorithms, terabytes or petabytes of data. With the latest advancements, such as Hadoop YARN, processing can be done not only in batch but also in real time. In this paper, we detail a methodology followed by a case study that investigates the power of machine learning algorithms used in a Hadoop environment in classifying unstructured data. We also investigate how to capture
geolocated messages from social networks and how kriging can be used to see if there is a strong relationship between two or more such datasets
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