Seven trends in large data

Trend one: To become an important strategic resource

Over time, large data will become an important strategic resource at the business, social and national levels. Large data will continue to be an important asset for various institutions, especially enterprises, and become a powerful weapon to enhance the competitiveness of institutions and companies. Companies will be more passionate about user data and take advantage of the data that the customer interacts with its online products or services and gain value from it. In addition, big data will play an important role in market impact--affecting advertising, product promotion and consumer behavior.

Trend two: Data privacy standards will be introduced

Large data will face major challenges of privacy protection, existing privacy laws and technologies are difficult to adapt to large data environments, http://www.aliyun.com/zixun/aggregation/9799.html "> Personal privacy is increasingly difficult to protect, There may be paid privacy services, the data "mask" will be popular. Countries are expected to have a series of standards and regulations on data privacy.

Trend three: Deep integration with cloud computing

Large data processing is inseparable from cloud computing technology, cloud computing provides resilient and scalable infrastructure for large data, and efficient patterns of data services, while large numbers provide new business value for cloud computing, so since the 2013, large data technology and cloud computing technology will inevitably enter a more perfect bonding period. In general, emerging computing patterns, such as cloud computing, Internet of Things, and mobile networks, are both places where large data are generated and areas where large data analysis methods are needed.

Trend four: Changes in analytical methods

Large data analysis will show a series of major changes. Like computers and the Internet, big data could be a new technological revolution. Data mining, machine learning, and artificial intelligence based on large data may change many algorithms and basic theories in small data, which is likely to produce a theoretical level of breakthrough.

Trend Five: Network security issues highlight

The security of large data is worrisome, and the protection of large data is becoming more and more important. With the increasing of large data, the requirement of physical security of data storage will be higher, so that the multiple copies of data and disaster-tolerant mechanism can be higher. The Internet and digital life make it easier for criminals to get information about people, and more difficult to track and prevent criminal means, there may be a more sophisticated scam.

Trend Six: The birth of large data disciplines

Data science will emerge as a new discipline associated with large data. At the same time, a large number of data science monographs will be published.

Trend Seven:

The emergence of data analysts and other occupations

Big data will spawn new jobs, such as data analysts, data scientists, and so on. Experienced data analysis talents become scarce resources, data-driven job opportunities will show explosive growth.