Development of a framework or exploring the deep roots of a technology has always been a good practice in IT industry to meet various the needs of the industry experts. With the traditional knowledge of programming and databases, all the way I have been involved in the management of structural data.
‘Something new’ was required when data changed its forms and moved from its traditional –structured format to unstructured that made the existing programing languages or databases to be re -organized and evolve with a wide larger forms to handle unstructured data too.
It is a part of big data. As we all are aware of the fact that Google, Facebook, twitter and many other social networking sites have been the main contributors from which big data has evolved. Hadoop has been the buzz word that speaks all about how to handle unstructured data and keep it safe in a clustered environment.
Ability to sustain failures at storage level, if any and have a backup ready is its major pro. Large Rackspace was always a point of option to keep my data backup. But all it comes to the latest approach is –everything is managed in cloud, in a virtual world.
In a Hadoop architecture, data is organized in a Cluster and is designed so as to handle distributed processing of huge data sets. It has the ability to scale up to thousands of machines as per requirement. Instead of relying on the high end hardware systems, these clusters have the ability to perceive and handle failures at application layer itself.
Hadoop suits various market requirements, say for example, to perform an accurate portfolio evaluation or risk analysisthat could not give accurate results with the database engine, whereas hadoop does. Consider an Online retail that needs to deliver better search results to its customers, wherein its search results can be shown with the things we want the customers to buy. Hadoop comes in place again. Get in touch with our experts at (Karen@virtualameerpet.com) to have more insight into its architecture and concepts.