The big Data ‘Hadoop’

Hadoop is a source software project open for distributing and control of large data sets transversely intended for group of commodity servers. The main intention of using this technology is to scale up from a single server to thousands of machines. The process has very high degree of fault tolerance quality. So now you will get the opportunity to detect and handle failures at the application layer, instead of relying on high-end hardware. Hadoop in the recent scenario, is really going to change the economics and the dynamics of large scale computing.

The technology of this ‘big data’ is getting more and more popular among the user due to its distinct features. The core benefit of Hadoop is listed below. It provides an absolute computing solution such as:

• Scalable– managing the data using the technology is becoming easier. Now you can add nodes without making changes to the data formats.
• Cost effective– Hadoop as a bigdata is managed at the commodity server level. So it affordable to model all your data. Hence the effective cost will decrease.
• Flexibility– The scope for Hadoop is schema-less. It is globally accessible and can absorb any type of data, whether is it in a structured or un-structured from.
• Fault tolerant– it has a high tolerance to fault. Even when you lose a node, you don’t need to stop there. The system redirects work to another location and you can process further  without missing a fright beat.

Big Data denotes the data, but with a huge size. The term ‘Big Data’ can be used to describe the assortment of data that is vast in size as well as growing exponentially in accordance with time. In a nutshell, this Big Data is so large and complex that it is impossible for any traditional data management tools to manage, store and work with it properly. The data here may be in the form of text, images, emails and videos. Facebook data in the form of comments, messages, videos and images are the best examples of the Big Data. Hence the other instances of big data can be  Insurance Data, Finance Data, Stock Exchange data and Telecommunication Data.

The best Big Data, Hadoop developer training provider, the eLearningLine provide the  training courses primarily for the people who just want to establish and boost their career in the field of Big Data using Hadoop Framework. The scope of Big Data Hadoop developer is in a growing trend in the recent days.

The training program is designed focusing the current requirement of the system. The course program includes Pig, Hive, HBase, Cloudera along with a few new features like YARN, HDFS Federation, NameNode High Availability, Hadoop Development and Debugging and Hadoop Real Time Project as well.

Thus, anyone keen to establish his/her career in the field of big data can go for the training with a Basic programming skills and a bit Knowledge of Java as a minimum requirement. All the online courses offered by eLearningLine is designed keeping in view the future requirement of the companies for their future employees.