Big data has become an inevitable product of the development of the times, and big data is accelerating the penetration of our daily life, from clothing, food, housing and transportation are reflected in all aspects. In the era of big data, everything can be quantified and everything can be analyzed.
Accurate marketing, advertising recommendations, guess what you like ...... these behaviors have been integrated into our lives, behind the support of big data technology, and the epidemic sweeping the world, the tracking and analysis of epidemic data, prevention and control of the relevant measures to develop, but also without the credit of big data.
With the continuous improvement of big data infrastructure, data analysis and business intelligence tools will gradually become the main force of big data. Therefore, in the next few years, the big data industry will develop towards the following trends.
Big data commercialization
As the territory of closed-source software in the field of data analytics continues to shrink, the old IT vendors are changing their business models, moving closer to open source, and increasing efforts in professional services and system integration to help customers migrate to open source, cloud-oriented analytics products, mainly Hadoop and R two types of technology.
doop will accelerate the development
As the representative technology in the field of big data, many companies are focusing on Hadoop. On the whole, not only Hadoop itself would have been developed rapidly, but also the configuration and seamless integration technology of Hadoop in multiple data centers will become popular.
Packaged big data industry analytics applications open up new markets
As big data gradually moves to various industries, the demand for industry-based big data analytics applications is also growing. In the next few years, industry-specific and business process analytics applications will emerge in the form of pre-packaged, which will open up new markets for big data technology providers.
Some new market segments will be created
The development of big data-related technologies will create some new market segments. For example, advanced data services based on data analysis and processing, social big data analysis based on social networks, etc.
Big data drives inter-company mergers and acquisitions
Therefore, in the next few years, large IT vendors will make mergers and acquisitions in order to improve their big data product lines, the first to be information management analytics software vendors, predictive analytics and data presentation vendors, etc.
A revolutionary approach to big data analytics emerges
In big data analysis, there will be revolutionary new methods, and many of the former algorithms and basic theories may produce theoretical level breakthroughs.
Big data and cloud computing will be deeply integrated
Cloud computing provides an elastic and scalable infrastructure support environment for big data and an efficient mode of data services, while big data provides new business value for cloud computing, and big data technology and cloud computing technology will have a more perfect combination.
Big data all-in-one machine will be released one after another
In the next few years, the data warehouse all-in-one machine, NoSQL all-in-one machine and some other integrated devices that will combine a variety of technologies will further develop rapidly.
It is because of the continuous development of the big data market, the ensuing problem is the problem of job talent. The growth of big data market scale is obvious to all, and at the same time, the supply of big data talents has become an important problem to be solved.
Most of the technical positions such as system research and development "in short supply", reflecting the market is more scarce big data technology talents; on the other hand, the rapid development of the field of big data has attracted a large number of traditional information technology talent into the field, resulting in the project management category of job seekers accounted for a much higher than the recruitment needs.
So these talent gaps is also a good opportunity for you to show your skills in the future. Seize this windfall of big data talent gap, success is another step closer. Big data prospects to good, both opportunities, but also challenges, as a technical developer, in the big data trend, keep up with the technology trends, to maintain a vigorous learning ability, is necessary.
