Big data is now not a myth like few years ago. According to a survey conducted by Forrester three years ago, around 40 percent of companies are adopting as well as expanding the big data technology in their organizations. More than that, around 30 percent of companies are going to adopt big data next year. Also, from another survey conducted on big data in 2016, over 62 percent of companies were adopting at least one big data project.
Currently, there is no signal that big data technology adoption will slow down. For IDC, big data and business analytics market will go up from around 130 billion dollars this year to over 200 billion dollars within the next two years. There are numerous aspects that have impact on big data analytics technology and services, which are the availability of data, the abundance of data, new technology to come and decisions made depending on data. More precisely, there will be a high demand for big data analytics in the future. In 2016, the market increased by over 11 percent, which was more than just 122 billion dollars all over the world in 2015. And the number is expected to keep on increasing annually and it is predicted that it will reach the growth rate of around 11.7 percent next year.
It is no doubt that the market for big data analytics will develop; however, the ways by which organizations can make of their big data are not clear at all. There are a lot of new big data technologies entering the market on a daily basis, some older ones keep on growing. The article is going to present some predictable trends that will reform big data analytics in the future.
Big Data and Open source
Such open source apps as Apache Hadoop, Spark as well as others have entered the market to dominate the big data area and that trend is expected to continue this year. According to a survey, around 60 percent of companies are expected to adopt Hadoop for their operation at the end of 2019. According to a research done by Forrester, Hadoop adoption is growing by about 33 percent each year.
Two years ago, experts predicted that companies would take advantage of Hadoop technology as well as seek for methods to make the big data process faster. Their predictions seem to be true now.
In – memory technology
One of the technologies that organizations are making investment into with the main aim of speeding up their big data operations is in – memory technology. Within a conventional database, the data will be saved in storage systems together with hard drives or solid – state ones. Regarding to this technology, it will save your data in RAM which will speed up the process much quicker. Some providers offer this technology including SAP, IBM and Pivotal.
When big data analytics technologies have been developed, many companies now start to make investment into machine learning. This technology is considered to be a smaller branch of artificial intelligence that will concentrate on letting your computers understand new things while there is no need for programming complicatedly. To be more specific, it will make analysis of big data to yield the results that which is making changes to the manner by which app operates.
In 2017, machine learning technology was ranked on the top trends. Today, machine learning and AI systems are being developed to set up new systems that are able to learn, predict as well as operate autonomously.
Predictive analytics is relatively related to machine learning. In other words, machine learning systems can provide customers with the engines used for predictive analytics software. At the beginning when big data analytics was at the infant stage, organizations had to check their data to know what was taking place and then they would take advantage of their analytics tools to make investigation in order to find out why those situations occurred to their data. Predictive analytics is more modern, which utilizes big data analysis in order to guess what would happen in the upcoming time.
Nowadays, a lot of different providers have introduced to the public their innovative predictive analytics tools so that in the future, entrepreneurs will become more familiar with this valuable tool.
Big data smart applications
Another way by which companies are taking advantage of machine learning as well as artificial intelligence technologies is to set up smart applications. More precisely, these apps usually utilize big data analytics to make analysis for users’ behaviors so that it can offer more effective services as well as high level of optimization.
According to Gartner, within the next ten years, every application and service would be integrated with a piece of artificial intelligence. This may be a long – term trend which will keep on developing and expanding the value of artificial intelligence and machine learning technology for both apps and services.
What is more, a lot of companies are now incorporating big data analytics into their security methods. The security data of these organizations will come with information on previous cyber attacks so that they are able to predict and avoid the risks by basing on that data. After all, some companies are utilizing both security data and event management software together with such big data tools as Hadoop. Some others are moving to hire security providers with products being integrated big data analytics abilities.
The Internet of Things
The Internet of Things also has a big influence on big data. In a report carried out in 2016, around 30 percent of companies in the survey took advantage of the Internet of Things solutions.
Due to the fact that there will be a lot of new devices and apps turning up online, organizations will have the chance to enjoy data growth much faster than they might imagined before. A lot of companies are in need of such technologies to deal with the huge abundance of big data.