Data Fabric: Where are my data sources? By Aditya Abeysinghe In a previous article, I explained about *data management in multiple cloud environments. Multiclouds, as described in that article are used to distribute applications in multiple cloud environments. However, when applications are distributed in multiple clouds, monitoring, managing and providing a uniform flow of data is often time consuming, costly and requires additional resources. Therefore, a platform from which all these data can be integrated is useful. A data fabric is a data management model where all data endpoints of applications in multiple hosts can be integrated. What advantages do data fabrics provide? As I explained in a previous article about *Self-service integrations, they (Self-service integrations) enable users who are in non-technical teams to integrate apps into existing systems. With self-service integrations, these teams can access data and perform tasks they require with less time rather than requiring technical teams ...
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Data Management Strategies in Multiple Clouds By Aditya Abeysinghe The “cloud” has been one of the most trending paths in systems and application deployment during the past few years. The cloud has built-in functions for computation, analysis and networking and it dominates almost all application-specific functions we use at present. With the growing use of cloud services, several types of clouds have been proposed. Not only single clouds, multiple clouds have also been researched. In this article, several multiple cloud types are explained from a data and application management angle. Public and Private clouds Public clouds refers to cloud services provided by a cloud service provider where computing services such as storage are shared with other users. With public clouds, multiple users may access the same resource at the same time. For example, multiple users may store data in the same file system in the same storage allocated. Therefore, privacy ...
