Digital Life: Big Data Trends in 2016

Digital Life: Big Data Trends in 2016

In the past year, big data still accounted for the hot topics of business. Many companies strive to cultivate data assets and actively explore the realization of data. Some international giants have already monopolized the monopolization of big data, but big data technology is still not perfect. Big data is still an important way to change the production methods of enterprises and improve the service chain.

Gartner once said that by 2020, information will be used to re-create, digitize, or eliminate 80% of business processes and products (compared to 10 years ago - 2010).

It can be said that for enterprises, data is already an asset and an asset that can be realised. Predictive logistics such as Amazon and Google's trend forecast are all applications that use big data resources. In 2016, what changes in the big data will remain unchanged?

1. Internet of Things

We can often hear words like centralization, decentralization, and distribution. At the beginning of big data, people always make a fuss about the data itself. This is called centralization. With the development of the Internet of Things (IoT), distributed processing of data is on the rise.

The distributed processing of big data can not only solve the data security rules, but also can meet the challenges of managing multiple devices, multiple data centers, and multiple global use cases. In the future, the application value of big data will gradually emerge, and the combination of big data and the Internet of Things will be reflected in our daily life. The improvement and popularization of network speed will also benefit the realization of the Internet of Things and the application of a distributed processing framework. 2, Algorithm (Algorithms)

If big data is flesh and blood, then algorithms are bones. It is the algorithm that defines how the data is interpreted and presented.

It can be said that now we are leaking out a lot of data and information in our daily surfing behavior. I believe everyone will accept it. When we browse the web, how do we analyze through our actions and data, and give the most suitable for our advertising, which is the algorithm. This method is also commonly referred to as precision marketing.

3, the core elements of the industry are the key

With the gradual deepening of enterprises’ understanding of “data as assets”, people’s analysis and use of data has become more and more in-depth, and the ecosystem of big data has gradually taken shape.

In the data ecosystem, the data ecosystem is dominated by the core elements of the industry. If companies that hold the core elements of the industry can follow the trend, the use of advantageous resources can help companies make the right decisions and improve the company's service chain.

4. Effective management of data

For any company, pure data does not have any value. Big data doesn't have to be "big" to go. In 2016, companies pay more attention to the effective management of data. Data management becomes a core competency and will directly affect financial performance.

As MapR's CEO Schroeder said, the competitiveness of the organization will depend on their ability to use data to drive business, MapR drives the development of the business through a converged data platform, and supports a variety of data processing, analysis and applications.

The author believes that in 2016, big data will inevitably penetrate into many areas such as AI, weather forecast, and medical care, and the big data ecosystem will also be more complete. However, the security of data, especially personal data, is still a problem that hangs over us. Sword on head. How companies can change their traditional ways of thinking and safely use big data will become the key. (Source: Zhongguancun Online)

Digital Life: Big Data Trends in 2016