The Future of Big Data

After the exponential growth of the data generated by organizations and enterprises almost a decade ago, there are no signs of it slowing down. In fact, the amount of data generated today is growing by many folds, thanks to the internet, social media platforms, media files, web searches, email, text messages, and many more. Also, a huge chunk of data is generated every second by IoT devices and sensors.

So, it’s safe to say that today’s world is powered by Big Data, which is now driving organizations and enterprises to seek professional help from Big Data Engineers, who are capable of processing huge amounts of data and make meaning out of it. But, will this trend continue in the future? Will the Bid Data industry flourish more like it’s doing now? Well, this article is about what the future holds for Big.

What does the future hold for Big Data?

Data volumes will grow and cloud will play an important role

Most of you will agree to the fact that the amount of data generated will grow beyond anyone’s imagination in the coming years. In fact, according to a report by IDC, it is forecasted that the global data will reach 175 zettabytes by the year 2025. Thanks to the growth of the internet and internet users, the amount of data generated may grow even faster.

A huge amount of data means, organizations and enterprises need a way to store all of it so that they can access it whenever they want. However, storing such huge amounts of data in physical storage devices and services is both costly and clumsy. This is where the cloud can play a very important role. Today’s cloud computing platforms, like AWS, Azure, and others have changed the way Big Data is stored and processed. This is likely to continue in the future with more and more organizations leveraging the cloud for storing their data.

Machine Learning and Big Data will go hand in hand

Machine learning is another technology that is expected to play a huge role in the future of Big Data. It is a fast-growing technology that is now used by various organizations and enterprises for various business processes to reduce human error and increase efficiency. It is expected that in the coming years, organizations and enterprises will use machine learning to run through huge chunks of data and make meaning out of it.

Privacy and security will be the main concerns

In the present day and age, data security and privacy are the most important concerns for both organizations and people alike. This is expected to stay the same way in the future as well. The exponential growth in the amount of data that will be generated in the future will create additional challenges for organizations to protect the data they generate. This is the reason why it is expected that organizations and enterprises will focus more on safeguarding their data and will find ways to ensure that they are away from any cyber attack.

Fast data and actionable data will come into the spotlight

It is also predicted that, in the near future, fast data and actionable data will be in the spotlight. Why? you may ask. Well, unlike Big Data, which typically relies heavily on NoSQL and Hadoop databases to analyze information in batch mode, fast data will allow processing in real-time streams. This will lead the data to be analyzed promptly in very less time.

Coming to actionable data, it is the missing link between business value and Big Data. As you might be already knowing, Big Data in itself is worthless without analysis. The reason being, it’s large in volume, complex, clumsy, and multi-structured as well. This is why by processing data organizations can extract information from the data that’s standardized, accurate, and actionable.

Data Scientists will be in demand

If you compare the positions of Data Scientists with other positions, you will find that it is quite new. But the need for Data Scientists in today’s world is very high, thanks to the exponential growth of Big Data. You might already know that Big Data is useless without analysis, and Data Scientists are the people who can go through the collected data, analyze them, and extract meaning information out of it. This is why most organizations need the services of Data Scientists.

The need for Data Scientists is something that will continue in the future as well. In fact, it is assumed that the demand for Data Scientists will grow many folds in the coming years, which will provide great opportunities for Data Science professionals. This is why, if you are interested in making a career in Big Data this is a perfect time. You can start off by choosing a good Big Data Engineering course, and getting certified as a Big Data Engineer.

Conclusion

There you go, aforementioned are some of the things that you might see in the Big Data industry in the years to come. The overwhelming size of Big Data and its rapid growth has created many challenges for organizations and enterprises, like security risks, data storage, data processing, data privacy, and others. However, going forward it is expected that there will be various solutions to tackle these issues. Therefore making Big Data one of the most important verticals for organizations and enterprises.

The importance of big data technologies
The importance of big data technologies.

Featured image source: Freepik

Published by Nishitha

I am done with my Physiotherapy Graduation. And I always try to share Health and technology tips with people. Apart from Physiotherapy and being a tech savvy, I do explore more on Technology side and I keep sharing my findings with wider audience.

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