The Experts below are selected from a list of 50025 Experts worldwide ranked by ideXlab platform
Chunming Rong - One of the best experts on this subject based on the ideXlab platform.
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Multiple Data Integration Service
2014 28th International Conference on Advanced Information Networking and Applications Workshops, 2014Co-Authors: Xin Hong, Chunming RongAbstract:Traditional Database system can not handle Data sharing in heterogeneous environment. With explosion of Data flood, how to provide multiple Data Integration Service is taken into account.This paper proposes a cloud Data Service architecture which provides multiple Data Integration and sharing to the distributed client. At the same time, it provides three level Data security to protect sensitive Data in the Cloud Data Service Platform. Data Client can keep private Data in local Database, and choose Data to upload to Data Service Center .Meanwhile, Data Service Center stores different Data backup version. Data Client can synchronous Data with Data Service Center, and choose the Data version to be synchronizing.In this article, multiple Data can be shared and exchanged between server and client in distributed system. Comparing to the other cloud Data Service system Amazon S3, Walrus and Nimbus Storage Service, the system has the priority both in algorithm and application. The method is efficiency in the cloud Data Service platform.
Ashutosh Singh - One of the best experts on this subject based on the ideXlab platform.
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Damia: a Data mashup fabric for intranet applications
Proceedings of the 33rd international conference on Very large data bases, 2007Co-Authors: Mehmet Altinel, Susan Cline, Eric Louie, Louis Mau, Y H Ng, R. Kartha, Volker Markl, Daniel Simmen, Paul Brown, Ashutosh SinghAbstract:Damia is a lightweight enterprise Data Integration Service where line of business users can create and catalog high value Data feeds for consumption by situational applications. Damia is inspired by the Web 2.0 mashup phenomenon. It consists of (1) a browser- based user-interface that allows for the specification of Data mashups as Data flow graphs using a set of operators, (2) a server with an execution engine, as well as (3) APIs for searching, debugging, executing and managing mashups. Damia offers a framework and functionality for dynamic entity resolution, streaming and other higher value features particularly important in the enterprise domain. Damia is currently in perpetual beta in the IBM Intranet. In this demonstration, we showcase the creation and execution of several enterprise Data mashups, thereby illustrating the architecture and features of the overall Damia system.
Xin Hong - One of the best experts on this subject based on the ideXlab platform.
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Multiple Data Integration Service
2014 28th International Conference on Advanced Information Networking and Applications Workshops, 2014Co-Authors: Xin Hong, Chunming RongAbstract:Traditional Database system can not handle Data sharing in heterogeneous environment. With explosion of Data flood, how to provide multiple Data Integration Service is taken into account.This paper proposes a cloud Data Service architecture which provides multiple Data Integration and sharing to the distributed client. At the same time, it provides three level Data security to protect sensitive Data in the Cloud Data Service Platform. Data Client can keep private Data in local Database, and choose Data to upload to Data Service Center .Meanwhile, Data Service Center stores different Data backup version. Data Client can synchronous Data with Data Service Center, and choose the Data version to be synchronizing.In this article, multiple Data can be shared and exchanged between server and client in distributed system. Comparing to the other cloud Data Service system Amazon S3, Walrus and Nimbus Storage Service, the system has the priority both in algorithm and application. The method is efficiency in the cloud Data Service platform.
Mehmet Altinel - One of the best experts on this subject based on the ideXlab platform.
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Damia: a Data mashup fabric for intranet applications
Proceedings of the 33rd international conference on Very large data bases, 2007Co-Authors: Mehmet Altinel, Susan Cline, Eric Louie, Louis Mau, Y H Ng, R. Kartha, Volker Markl, Daniel Simmen, Paul Brown, Ashutosh SinghAbstract:Damia is a lightweight enterprise Data Integration Service where line of business users can create and catalog high value Data feeds for consumption by situational applications. Damia is inspired by the Web 2.0 mashup phenomenon. It consists of (1) a browser- based user-interface that allows for the specification of Data mashups as Data flow graphs using a set of operators, (2) a server with an execution engine, as well as (3) APIs for searching, debugging, executing and managing mashups. Damia offers a framework and functionality for dynamic entity resolution, streaming and other higher value features particularly important in the enterprise domain. Damia is currently in perpetual beta in the IBM Intranet. In this demonstration, we showcase the creation and execution of several enterprise Data mashups, thereby illustrating the architecture and features of the overall Damia system.
Y H Ng - One of the best experts on this subject based on the ideXlab platform.
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Damia: a Data mashup fabric for intranet applications
Proceedings of the 33rd international conference on Very large data bases, 2007Co-Authors: Mehmet Altinel, Susan Cline, Eric Louie, Louis Mau, Y H Ng, R. Kartha, Volker Markl, Daniel Simmen, Paul Brown, Ashutosh SinghAbstract:Damia is a lightweight enterprise Data Integration Service where line of business users can create and catalog high value Data feeds for consumption by situational applications. Damia is inspired by the Web 2.0 mashup phenomenon. It consists of (1) a browser- based user-interface that allows for the specification of Data mashups as Data flow graphs using a set of operators, (2) a server with an execution engine, as well as (3) APIs for searching, debugging, executing and managing mashups. Damia offers a framework and functionality for dynamic entity resolution, streaming and other higher value features particularly important in the enterprise domain. Damia is currently in perpetual beta in the IBM Intranet. In this demonstration, we showcase the creation and execution of several enterprise Data mashups, thereby illustrating the architecture and features of the overall Damia system.
