7 top trends driving big data analytics

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As the cloud computer market continues to grow, there will be expected pressure on chief information officers to deliver. Big data is no longer the buzzword that it once was, with studies showing that over 40 percent of firms are implementing and expanding with big data technology.

While it is clear that this will continue to grow over the next few years, how organizations will use the data is still unclear. Keeping track of the big data trends is truly very hard, but these trends are shaping the sector going forward.

Big Data and Open Source

Applications such as Apache Hadoop and Spark have put Open Source on the map and have come to dominate the big data space. One study has found that just over 60 percent of companies expect to have Hadoop clusters running by the end of 2018.

While experts say that many enterprises will continue to expand in their use of Hadoop and other Open Source technologies. The next development will be to see these technologies respond in real time.

In-Memory Computing

Companies have been massively looking into this type of technology; this would be as an attempt to speed up their big data processing. In the traditional storage systems, there are fully equipped hard drives and SSD’s.

“In comparison, In-memory technology will store data within the RAM, which is a much faster processor. This has been forecasting as seeing the data fabric growing by over 29.2% per year,” says Sandra Sardis, an IT consultant at 1Day2Write.

Job Roles Specialization

Digital transformation has turned nearly every company into a technology organization, there in an increased importance of data, which means that companies will need to be adapting.

These companies will need to implement these tools and make them specific to the discrete stage of the analytics solution delivery. There will also be an increased number of highly skilled data experts and engineers that are specialized in these areas, with studies showing that there will be approximately 2,700,000 jobs worldwide in the sector by 2020.

Machine Learning

As the big data technologies have progressed and furthered, some companies and organizations have begun investing and putting money into machine learning (ML). ML is a form of artificial intelligence that focuses primarily on allowing the computers to learn new things without it being programmed manually. Simply put, the computer will analyze the big data stores and come to conclusions and then the computer will then act accordingly.

It is also worth noting that in 2017 that was one of the top 10 strategic technological trends and that today’s most advanced ML and artificial intelligence systems are moving beyond traditional technologies and onto understanding more complex and having the ability to correctly predict algorithms.

Big Data Apps

Companies are using machine learning technologies and AI technologies in a lot of ways to create intelligent apps.

“These apps are often involving big data analytics by using the user’s behaviours in order to provide a better and more complete service. The example that most users will be aware of this would be those users that are accustomed to using entertainment apps,” says Robert Grubbs, a data analyst at Write My X and Origin Writings.

It has been reported that over the next ten years that virtually every app will be using this kind of technology to operate their apps. This has been identified as being a long term trend and something that will be common place in at least three years.

Data Security

Intelligence security is another element that many organisations will be incorporating with big data analytics being noticeable in their security strategy. Company’s security log data will provide a treasure chest of information ranging from past cyber attacks to information about how companies plan to protect themselves from future attacks.

As a result of this, some of the organizations that are using this are now integrating their security information and event management (SIEM) software; this is being assisted by big data platforms such as Hadoop.

Internet of Things- IoT

IoT is sure to have a sizeable impact within big data trends. According to a recent study, over 31 percent of companies asked happen to use IoT solutions already, with a further 40 percent of those asked planning to use it over the next 12 months.

With all these future developments in applications and technologies we could be about to experience data growth that is faster than ever experienced in the past.

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