Microsoft Azure, a cloud platform, is rapidly expanding its scope to include
newer enterprise class services. Some of the significant new additions are:
Azure Search: Azure Search Service is a fully managed, cloud-based service
that allows developers to build rich search applications using REST APIs. It
includes full-text search scoped over your content, plus advanced search
behaviors similar to those found in commercial web search engines, such as
type-ahead, suggested queries based on near matches, and faceted navigation.
Azure Machine Learning: Azure Machine Learning makes it possible for people
without deep data science backgrounds to start mining data for predictions.
ML Studio, an integrated development environment, uses drag-and-drop gestures
and simple data flow graphs to set up experiments. For many tasks, you don't
have to write a single line of code. Azure... (more)
Over the last couple of years much has changed in the way enterprises map
their enterprise IT architecture and realize their business capabilities.
Till 2010 or so, enterprise architecture have been purely built on:
On-Premise Packaged Applications (SAP, Oracle, Siebel) On-Premise Custom
Applications Frameworks (.NET, Java EE) Structured Data (Oracle, SQL Server,
DB2) Traditional Access methodologies (Web, Client/Server, CITRIX, other
However, now the enterprises have to rethink their reference architecture to
fit all the new avenues opened due to the advances in ... (more)
Cloud Integration Platform
Cloud won't be a single point solution for all the needs of enterprises,
and most enterprises have heavily invested in in-house systems and servers;
howevers we are already seeing enough patterns for the enterprise to
adopt public clouds too. This requires tools and platforms that can integrate
the public cloud with in-house systems or private clouds of the
The following list indicates some of the leading platforms around.
1. Azure Platform App Fabric
Windows Azure AppFabric provides a comprehensive cloud middleware platform
for devel... (more)
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)
One of the biggest benefits of the cloud, ‘Dynamic Scaling,' goes
hand-in-hand with multi tenancy. If your application has a fixed group of
users, you can easily predict the server load and still handle it with a
typical data center. However, a large number of users, basically multi
tenants, makes the cloud platform most efficient in terms of usability of the
application and ‘Do More With Less Resources.'
Some of the other characteristics of a typical multi-tenant application,
benefited by Cloud are:
Large global population working across time zones Quite possible that at any