Hadoop and Big Data: Detailed Information for the Non-Tech Savvy Minds

During the last few years, the surge in the volume of data processed by businesses has gone far beyond the capability of traditional systems. Addressing the ever-increasing concern of efficient data management, Hadoop pioneered a fundamentally new way to store and process data. Today, with the arrival of different versions of Hadoop, it has become for organizations to understand the benefits of big data platform for C-suite executives. The latest Hadoop2.0 has created a completely new framework where big data can be stored, mined and processed with remarkable ease.

Hadoop Software: An Introduction

Hadoop is an open source, Java-based programming system that facilitates seamless processing of large data distributed across the computing environment. Hadoop, a part of apache project, enables parallel processing of both structured and unstructured data through cost-effective and industry-specific servers. It enables servers to store and process data with a provision of limitless scalability. In addition, the software facilitates rapid data transfer rates among thousands of nodes involved and support system to operate uninterrupted in case of any failure.

Hadoop and Big Data: The Advantages

Employing a Hadoop software solution is instrumental in efficiently managing big data. Many prominent organizations such as Google, Yahoo, and IBM leverage Hadoop, particularly for search and advertising applications. In addition, Hadoop has enabled numerous organizations to find value in data, which was previously considered useless.

Some of the key advantages of Hadoop software include:

Scalable

Hadoop system is easily scalable to accommodate changing organizational needs. New nodes can be added as per the need without making any change to data format or how it is loaded, written or applied.

Cost-effective

Hadoop software lends simultaneous computing capability to commodity servers, which results in decrease in the cost per volume of storage, consequently making it a highly cost-effective solution to manage big data. 

Flexible

Hadoop software solution can process almost every type of data – structured and unstructured – and that too from a variety of sources.

Reliable

In case of fault in any of the nodes, the system redirects the work to another location and continues processing, without missing any bit of it. Hence, it promises an exceptionally reliable solution to manage big data.

Conclusion

Employing Hadoop software is an ideal solution for any organization that needs to store and process big data. However, it is important to find a credible provider of Hadoop and big data software that not only promises robust and cost-effective solutions, but also provides round the clock support.