Four Big Data Trends to Look Out For in 2018

In recent years, Big Data has evolved from a vague concept into a critical part of the modern business environment. Modern technological devices collect more information than ever before, which businesses can sift through and use to work out what their customers want, and how to provide for those needs.

As with all technologies, Big Data evolves constantly. With that in mind, we want to take a look at a couple of the trends that we believe will impact upon Big Data in 2018.

The Internet of Things

The Internet of Things (IoT) concept essentially deals with the increasing number of devices that connect to the internet, in some form or another. Naturally, each of these devices generate data, which means the IoT may well become the biggest driver of the Big Data movement since its inception.

We believe that the IoT will assume its position as the centre of Big Data analysis during 2018. Sensor-based analytics will reap huge benefits for both businesses and their customers, to the point where IoT will become synonymous with the generation of Big Data. Furthermore, this shift will extend beyond the tech industry. The IoT has the potential to affect practically every industry in the world.

Faster Machine Learning

We’ve seen an increasing trend towards automation in recent years, particularly of manual tasks that take a lot of time and effort, even though they are fairly simplistic in nature. Big Data allows for machines to develop a greater capacity for learning, which has expanded the horizons of traditional automation.

You can see this if you examine the growth of machine learning in technology over the last year or two. It’s moved forward at an astonishing pace, to the point where machines can now analyse huge chunks of data. Better hardware and stronger algorithms play their part, of course.

We believe that machine learning will evolve to the point where it can use Big Data to perform more complex tasks, such as creating real-time online adverts that appeal to specific segments of the audience. It will also come to the fore in the data analysis and fraud detection industries.

Old Data Restoration

While modern devices generate huge amounts of data, there is actually a lot of information buried away that has yet to be digitised. This “dark” data may well hold some value, especially if you believe the old adage that those who don’t learn from the past are doomed to repeat it.

As Big Data becomes an all-encompassing aspect of society, it’s likely that more of this “dark” data will find its way into the digital landscape, thus adding to the data that modern techniques already generate.

Data Engineering Will Become the Hot Job

A cursory examination of the major job websites shows that demand for data scientists has decreased, replaced instead by an increased demand for data engineers. Engineers are the people who build the software that companies need to handle their Big Data, and they’ve seen increased demand as Big Data has become more popular.

That’s not to say that data scientists will disappear. After all, they’re the people who can analyse this data. However, they may come under threat as machine learning helps data engineers’ systems analyse data that would have previously fallen under the remit of the data scientist.

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