Data integration in cloud computing environment [C]//Leyva L6pez JC, Espin Andrade RA, Prrez B, et al. Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support. Mexico : Atlantis Press, 2013 : 407-412....
We first identify the difficulties and potential security problems of direct extensions with fully dynamic data updates from prior works and then show how to construct an elegant verification scheme for the seamless integration of these two salient features in our protocol design. In particular, to ...
cloud computingSaaSTo better solve the complexity and diversity in data integration, we propose a new idea of data integration platform based on SaaS service. Firstly, we analyze the situation of today' data integration. Secondly, We give the model architecture of data integration ant its work ...
Determine if you need a data integration or workflow technology to process data. In an early phase, you might be able to keep data in the exported storage account without other processing. We recommend that you keep the data there for small accounts with lightweight requirements and minimal ...
Built-in optimizer Generate the best executable code to move data using the most efficient systems resources that provide the best performance. Optimized for Oracle Cloud Consistent performance Native integration with Oracle Cloud Infrastructure for best-of-breed computing, networking, scalability, and sec...
To ensure the correctness of users' data in the cloud, we propose an effective and flexible distributed scheme with two salient features, opposing to its predecessors. By utilizing the homomorphic token with distributed verification of erasure-coded data, our scheme achieves the integration of ...
Oracle Cloud Infrastructure Integration capabilities Extend and connect applications, data, and processes on-premises and in the cloud. Automate end-to-end processes and expose APIs for developers and partners to create new business models. Application integration and low-code automation Prebuilt ...
Multiple tools can be used for data integration in both public or private cloud platforms or providers (e.g., an OpenStack data center or AWS). Depending on the tool used for integration as well as business needs, theintegration processwill look different. However, most processes involve a ...
Today’s analytics systems typically combine products from multiple vendors in a single project. This results in computing capacity provisioned in multiple systems like data integration, data engineering, data warehousing, and business intelligence. When one of the systems is idle, its capacity cannot...
Our scheme achieves the integration of storage correctness insurance and data error localization, i.e., the identification of misbehaving server(s). 展开 关键词: Cloud computing security privacy DOI: 10.1109/ARTCom.2010.23 被引量: 53 年份: 2010 ...