30 Jan Trends for Big Data in 2016
For those who do not know what “Big Data” means, it is the accumulation of large data sets collected by companies for analytical purposes to reveal trends, such as the buying habits of a business’s customers. In the past, managing big data and converting it into useful formats required having the right technical skills and expertise. However, that is no longer the case, and 2015 saw the start of the shift to more self-service data analysis, which is going to increase significantly in 2016.
The increase in self-service data analysis is the result of application developers creating more intuitive and easier to use applications. These applications, whether they are run locally or through a hosted virtual desktop, make it simple for people to choose what information they want to examine within data sets and extract it for reporting purposes.
Another trend is the growth of non-relational databases (NoSQL), since the new self-service tools are going to eliminate the need to put data into relational databases. As such, people will have the flexibility to custom create their own relational databases after extracting data from NoSQL data sets.
Business should also expect a convergence between the Cloud, the Internet of Things (IoT), and big data. Devices connected through IoT will collect data, upload it to the Cloud, and create big data sets waiting to be analyzed.
To make analyzing big data easier for companies, remote desktop services are also expected to increase throughout the year. For more information about remote desktop and other VDI solutions for your business, call CyberlinkASP at 972-262-5200 and speak to a representative now.