Native Apps At The Client & Cloud

Srinivasan Sundara Rajan

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Top Stories by Srinivasan Sundara Rajan

Data Virtualization is the new name for aconcept that allows enterprises to access their information contained in disparate data sources in a seamless way. Key principles behind Data Virtualization are: Abstraction: Provides location, API, language and storage technology independent access of data Federation: Converges data from multiple disparate data sources Transformation: Enriches the quality and quantity of data on a need basis On-Demand Delivery: Provides the consuming applications the required information on-demand Ideally data virtualization supports the following QoS (quality of service) for its consumers: Data Security Data Quality Data Governance Query Optimization Caching / Replication Data Virtualization and Cloud Data virtualization is not a new concept. Several vendors have implemented it in different forms. However, with the emergence of cloud and Xaa... (more)

Private Clouds and Business Rules

Moving from dedicated  data centers and applications to Cloud  is not an overnight  switch-in operation; rather  enterprises need to plan out  the movement towards the Private Clouds. While the benefits are obvious, it takes lot of thinking from the IT department of the enterprises to move applications to private cloud. The following are the typical strategies adopted in migration to Private Clouds for enterprises which are traditionally driven by dedicated applications and infrastructure. 1.       Consolidate  Data Center Resources  using  Virtualization  of the hardware and s... (more)

Cloud Computing: Private Clouds - Buy vs Reuse vs Build

Private Cloud Is Hot Several  market studies indicate that Private Clouds will be hot in the near future. Few of the market studies on Private Cloud indicate how much they are predicted to grow. Industry seminars expect cloud infrastructures to grow at a compounded rate of 25 percent per year over the next few years, with 75 percent of that infrastructure growth coming from private clouds IDC Predicts Private Cloud Server Market to Reach $11.8B by 2014 Gartner also predicts that, Private Cloud Computing Ramps Up in 2011 Definition of Private Cloud The cloud infrastructure is owne... (more)

Cloud Analytics - The Big Four Offerings

Cloud Analytics The term  ‘Analytics On Cloud'  refers to a comprehensive offering of a combination of products that enable enterprises to move their Business Intelligence, Data Warehousing  & Online Analytical processing (OLAP)  workload to a Cloud platform. While the implementation of Cloud Analytics would take several forms at a high level, the following could be the parts of a Cloud Analytics platform that would be of interest to an enterprise. A Virtualized Infrastructure to support the basic Cloud Tenants to Build a Private Cloud Availability of a Public Cloud Infrastructur... (more)

Multi Tenancy and the Oracle VPD

Multi Tenancy Database Design and Security We have seen that there are multiple ways a multi-tenant database can be designed. The important options being: Separate Database: Each of the tenants is allocated a separate physical database for storing their data. Separate Schema: Each of the tenants is allocated a separate logical unit called Schema, within a single physical database. Separate Rows: Each of the tenants is allocated same physical database and schema, but their information is separated using primary keys which are allocated as part of the data base design and all the in... (more)