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Here's What Hadoop's Makeover in the Coming Years will Look Like!
By Aditi Bhat
Ever since the launch of Hadoop, the big data universe has been taken by a storm, thanks to its simplicity and endless features. As the number of smartphone users and their digital presence increases by the day, there has been a tremendous rise in the volume of raw data generated each day.
This is where the ability of Hadoop to analyze and process the vast amount of raw data at a good speed came in, and it has found its place in the hearts of big data scientists.
If we look at the big data analytics scenario today, Hadoop still is one of the most cost-effective and scalable open-source options available in the market. Looking at the constant positive evolution of Hadoop, it is safe to say that Hadoop will have a makeover in the coming years.
What will Hadoop look like in the coming years?
Hadoop has seen many advances such as YARN in its framework because of which its clusters can now run a different number of processing frameworks for different workloads, all using the same Underlying Storage Infrastructure.
In the coming years, Hadoop will transform from a mere tool useful for certain tasks to a full-fledged platform capable of supporting every type of application. Many big applications, including Twitter, are already taking advantage of these new Hadoop features and the number will see an upward trend in the coming years.
Software and hardware services
Given the rate at which big data Hadoop is expanding, it is a fair possibility that a commercially supported software will back Hadoop in the future. Hadoop may support appliances and hardware, and it can also expand its wings into outsourcing, consulting, integration, support and training segment.
Source: Cuelogic Technologies
Expansion in the field of applications
Hadoop may dive into social media and clickstream analysis. It may also emerge as an alternative to Data Warehouse Offloading. Given the increasing interest in the field of mobile devices, Hadoop is also ready to support IoT (Internet of Things) and mobile devices.
With the rise of artificial intelligence and new, updated machine learning algorithms, Hadoop has the capability to fully take over the whole big data world. Meanwhile, it will also focus on effectively providing new and innovative features and accommodating developers to process an exponentially increasing amount of data.
All in all, thanks to its ability to evolve and keep up with changing demands, Hadoop is expected to stay in the data science sphere for a long time.
If you too would like to be a part of this fascinating field, take up a big data Hadoop certification course to understand the dynamics of this amazing boon!
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