Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 445 for “"data management"”.
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Mapping maintenance for data management
Despite the potential of data integration systems, their deployment in practice is still quite limited. Building such a system is an expensive endeavor, for which numerous semiautomatic tools have been developed. Once the system has been built and deployed, an equally daunting challenge is to …
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Data Management in Certified Avionics Systems
Data management is a cornerstone for any kind of information system - including the aerospace and aviation sector. In contrast to conventional domains, software development in the avionics domain must adhere to a legally binding certification process, called qualification. The success of the …
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Lifecycle perspectives on product data management
… and establish adoption by users. Product Data Management (PDM) technology represents a substantial portion of large industry IT investment over the last decade. The ability to manage and deliver product data throughout the lifecycle has become increasingly important to the aerospace …
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The systems approach to source data management
No PDF available. Item missing.
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Unified data management in collaborative IoT systems
Data has become a central focus for industries and businesses in delivering services. Furthermore, efficient collaboration solutions for IoT systems are increasingly needed to optimize IoT data usage across various domains. This work provides a comparative analysis between data models for handling …
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Distributed data management for large scale applications
Improvements in data storage and network technologies, the emergence of new highresolution scientific instruments, the widespread use of the Internet and the World Wide Web and even globalisation have contributed to the emergence of new large scale dataintensive applications. <br/><br/>These …
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Efficient data management for the Internet of Things
… exported from human activity. This plethora of data creates enormous potential for developing applications and services for users to improve their life parameters (from personal comfort to health or transport). The secure and effective processing of these data is a major problem, for which no …
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Web-based atmospheric nucleation data management and visualization
… restricted due to the lack of efficient visual data exploration tools. In this paper, the issue of lacking efficient data visualization tools is tackled by implementing our own application to visualize the atmospheric nucleation. The similarity </p> <p>calculation for these 3D molecules is …
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Encouraging collaboration through a new data management approach
The ability to store large volumes of data is increasing faster than processing power. Some existing data management methods often result in data loss, inaccessibility or repetition of simulations. We propose a framework which promotes collaboration and simplifies data management. In particular we …
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Transactions and data management in NoSQL cloud databases
NoSQL databases have become the preferred option for storing and processing data in cloud computing as they are capable of providing high data availability, scalability and efficiency. But in order to achieve these attributes, NoSQL databases make certain trade-offs. First, NoSQL databases cannot …
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Automated input data management in manufacturing process simulation
Input Data Management (IDM) is a time consuming and costly process for Discrete Event Simulation (DES) projects. Input Data Management is considered as the basis of real-time process simulation (Bergmann, Stelzer and Strassburger, 2011). According to Bengtsson et al. (2009), data input phase …
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Role of master data management in large organizations
These days mostly all data generated is stored as digital data. Whatever action happens in the world, the outcome tends to be a digital data. From social networking sites to customer management applications and to further different business segments and operational streams of the organizations, …
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Linear Road : benchmarking stream-based data management systems
… of the Linear Road benchmark for stream-based data management systems. The motivation for benchmarking and the selection of the benchmark application are described. Test harness implementation is discussed, as are experiences using the benchmark to evaluate the Aurora engine. Effects of this …
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Data management in a distributed design modeling environment
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2001.
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Scalable Data Management for Object-based Storage Systems
… systems, face severe challenges for managing the data efficiently. Inefficient data management leads to poor I/O and storage performance in HPC applications and scientific workflows. Some of the main challenges for efficient data management arise from poor resource allocation, load imbalance in …
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Efficient Data Management and Processing in Big Data Applications
In today's Big Data applications, huge amount of data are being generated. With the rapid growth of data amount, data management and processing become essential. It is important to design efficient approaches to manage and process data. In this thesis, data management and processing are …
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A mesh architecture for data management of matrix computations.
… This limitation is addressed by the Matrix Data Management Layer (MDML), described in this thesis. The MDML doesnt share the coprocessor-based architecture of earlier systems. Growing transistor budgets have made it feasible to embed general purpose Commercial Off-The-Shelf (COTS) processors …
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Recommender systems and market approaches for industrial data management
… companies are dealing with an increasing data overload problem in all aspects of their business: vast amounts of data are generated in and outside each company. Determining which data is relevant and how to get it to the right users is becoming increasingly difficult. There are a large …
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A performance analysis of the relational data management system.
Thesis: B.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1976
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