Hadoop is a software framework under open-source technologies for storing the information and running the applications on commodity hardware clusters. It enables huge storage for any type of data, high power of processing and the capability to manage virtually unlimited jobs or tasks concurrently. Hadoop is extremely useful for large scale businesses due to its high-end features.
Hadoop’s distributed computing model processes the big data extremely quick. The processing power increases with the number of computing nodes you use. Application and data processing are protected against the failure of hardware. Jobs are redirected automatically to other nodes if a particular node goes down in order to make sure the distributed computing is not failing. All the data is stored automatically with multiple copies of it. In hadoop, you need not pre-process the data before its storage like we do in traditional relational databases. You can store any amount of data of your choice and can decide later on how to use it (Unstructured data such as videos, images and text).
This open-source framework is free of cost and utilizes commodity hardware to store the information. The low cost of commodity hardware enables the hadoop useful for combining and storing data such as social media, machine, sensor, scientific click streams, transactional etc. This type of storage involving very low cost lets you keep the data that is not critical currently and but you might need to examine it later. Hadoop drives analytical algorithms as it was developed in a way that it deals with huge data in a variety of forms and shapes. Big data analytics on hadoop can make your company function more effectively by deriving competitive advantage of next level and uncovering new and exciting opportunities. Sandbox approach enables the users to innovate even with very low investment.
Hadoop is changing the way big data (unstructured data especially) is handled. A framework known as Apache Hadoop Software Library plays an important role in managing the big data. Apache hadoop enables the streamlining of huge amount of data for all types of distributed processing system over the group of similar computers utilising simple programming models. It is actually made to increase the number from a single server to a number of machines each one offering storage space and local computation. To avoid the dependency of hardware to for providing high-availability, the library is developed to detect and manage the breakdowns at the application layer and thereby providing a service which is highly available along with the group of similar computers.
The market for hadoop is expected to rise up to $16.1 billion by 2020. It has expanded from web and software into government, hospitals, retail etc. This is creating a huge demand for cost-effective and scalable platform. According to Forbes magazine report of almost 90% of the organizations present globally is investing in big data analytics and a third of these investments are very significant.
Hadoop provides you with the means to increase your career growth rapidly and gain incredible pay packages due to expertise in hadoop. This upward trend will keep on moving with time. We can say this by forecasting the present big data market. The jobs in hadoop have increased up to 60% in 2016. In the big data category of jobs, hadoop jobs occupy the first place. Many multinationals are using hadoop extensively. So, job seekers looking for a career in this field can get hadoop training and accelerate their careers.