We live in an era driven by data; an infinite volume of data is outgrowing the processing and storage capabilities of today’s computers. Also the data formats are getting diversified into more complex forms.
This eventually leads up to questions like
Hadoop is the key to resolve all these challenges. Hadoop gets its name from a funny story by the publisher of a related theory paper which you can Google to know more. Hadoop is a complete eco-system of open source projects (OSP) which provides the frameworks to deal with big data.
It is basically a framework composed of
Scala adds perspective and accessibility to Hadoop. There are myriad reasons to craft a Hadoop framework using Scala. Compared to the traditional Java, Scala is much more secure and scalable. In addition to this, it is more concise, flexible and is composed of a straightforward syntax. This enhances the performance and allows for a much quicker implementation. You get excellent XML support, seamless integration with existing Java codes and it is much easier to solve the concurrent issues that arise
With all the buzz surrounding blockchain technology which in recent times have been fueled by the rise of Bitcoin. It has made data analysts reconsider the possibility of Blockchain implementation with big data. Hadoop being and important element in Big data can be integrated with the blockchain structures and functionalities to enhance the user experience.
With the blockchain one would imbibe the qualities such as decentralization, shared control, audit traits, immutability, and native exchanges or assets. In the big data environment blockchain is highly scalable by building over the best distributed databases like MongoDB. This paves to uncover the potential for high and interesting applications in big data, providing the possibility for a universal data exchange.