The Big Data Predictions You Need to Know About

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The Big Data Predictions You Need to Know About

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Big data is now a well-known tool in the world of technology and companies looking to make their business faster and better. As a new year is roughly a month away it is interesting to look at the future predictions of big data, and how much it is predicted to affect businesses and industries in the following years to come.

The University Herald has listed what they deem essential big data predictions to know about, starting with the improvement of analytical methods. Chris Brandt, University Herald reporter writes that with the growth of data volume, follows the improvement of analytical methods. Structured Query Language.

Brandt predicts that Structured Query Language (SQL), which is used to communicate with a database, will become the standard, but there are emerging ways of how big data is analysed.

“One of them is Spark which is a good complementary tool for analysis”, Brandt writes. “These tools will also be easier to use where users will be able to use them without any coding knowledge”.

Tools like Spark have already been implemented by tech-giants such as Microsoft and Salesforce, and they are now allowing non-coders to develop apps to view data.

Brandt also believes that real-time streaming insights will be “the big winners”, saying that tech experts have predicted that in 2017, businesses and organisations will want to use data in order to make real-time decisions by using advanced analytic tools.

So what will be the challenges? Privacy, according to Brandt, who refers to the world-leading information technology company, Gartner predicting that by 2018, almost 50% of businesses will face violations in business ethics in relation to big data. This was also predicted when the European Union put into effect the new privacy regulation, Brandt writes.

In terms of autonomous agents, companies will rely more heavily on these in the future as anything from virtual assistants, robots, smart advisers and autonomous vehicles will make their way into our lives, Brandt predicts. With the sophistication of AI comes the thrive of autonomous agents.

Another technology that will emerge is the cognitive computing, as it will become more of a necessity than before, Brandt writes. “It will even become synonymous with analytics as businesses perceive the relationship and similarity between big data and analytics”.

Brandt also believes that big data will be divided into chunks in order to make it more efficient and actionable, he writes, saying: “As some experts say, volume is not necessarily better where data is concerned”.

As many companies don’t actually use up the data they have access to, instead of accumulating volume, companies should learn how to efficiently use their data, despite its size, by simply asking the right questions, Brandt writes.

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