What are the trends in the era of big data? The development trend of big data

In recent years, the market size and penetration rate of China's cloud computing industry have continued to grow, making China's public cloud market enter a new stage of development. In addition, driven by the development of 5G commercialization and AI and other technologies, the scale of China's public cloud market has always maintained a rapid growth trend, according to the statistics of the China Academy of Information and Communications Technology, in 2018, the size of China's public cloud market reached 100 million yuan, an increase from 2017.

According to the 2019 New Vantage Partners Big Data and AI Executive Survey, almost 72% of executives from organizations surveyed, such as American Express, Ford Motor Company, General Electric, General Motors, and Johnson & Johnson, believe they have not succeeded in building a data culture. 1 Only 31% say their business is data-driven, while 53% say they haven't started treating data as a business asset yet. More than half (52%) of respondents admit that they are not successfully competing in data and analytics.

As the amount of data available to organizations continues to grow, the need for businesses to invest in data scientists is becoming more and more urgent.

Data-driven. Implement the national big data strategy. With the advent of the era of big data, "data-driven" has become a new global megatrend. ** Work Report

The era of cabling networks.

The demand for optical fiber and cable network cables has increased. The requirements are increased.

At the same time, the requirements for accessories and professional design are more stringent.

Database technology is going to be very popular.

1. Real learning machines, machine learning, artificial intelligence will soon take over the world in the future.

2. From data collector to data producer.

3. New ways to optimize the customer experience.

Today, the trend of big data is rapidly shifting, but experts expect machine learning, analytics, the Internet of Things, and edge computing to have a significant impact on big data projects in the coming years.

Big data is no longer a buzzword. Researchers at Forrester found that in 2016, nearly 40 percent of enterprises were implementing and expanding the use of data technology, and 30 percent planned to adopt big data within a year of the coming year. Similarly, NewvantagePartners' 2016 Big Data Execution Survey found that organizations now have at least one big data project in operation, with only one company having no big data project planned or implemented.

Researchers say the adoption of big data technology will not slow down immediately. According to research firm IDC**, the big data and business analytics market increased from $130.1 billion in 2018 to more than $203 billion in 2020.

The availability of data, next-generation technologies, and a cultural shift to data-driven decision-making will continue to drive demand for big data and break-up technologies and services. Dan and Vesset, vice presidents of IDC's analysis information management group, said that the global big data market revenue reached 122 billion US dollars in 2015, and the market revenue increased in 2016, and the big data market revenue is expected to grow at a compound annual rate by 2020.

While the big data market will grow, businesses don't have a clear idea of how to use big data. New big data technologies are entering the market, and the use of old ones is increasing.

Big data development trends.

Truly grasping the trend of big data is like monitoring the change in the direction of the wind every day, as long as you feel the direction of the wind, it will change. However, the following trends are clearly driving the growth of big data.

1.Big data and open source.

Open source applications such as Apache Hadoop and Spark have become mainstream in the big data technology space, and this trend seems likely to continue. According to a survey, nearly 60% of enterprises expect to be in production using Hadoop clusters by the end of the year. According to Forrester, a research firm, the use of Hadoop is increasing by 32% per year

The era of big data refers to the use of relevant algorithms to process, analyze, and store massive amounts of data, find value from massive data, and serve life and production. The impact of big data on all walks of life can be felt in the fields of catering, telecommunications, finance, entertainment, and sports.

The so-called era of big data is not difficult to understand in a literal sense, the data is very large, and the amount of information is relatively large, which is also the change brought about by the rapid development of the Internet. From the communication alone, we can see that the previous 2G, 3G can meet the needs of people, to the later 4G, the development of the network, people can obtain more and more information through the Internet, and now the introduction of 5G, the era of big data, after all, to accommodate and accept more information.

Mindset change. When the data processing technology undergoes earth-shaking changes, in the era of big data, our thinking must also change.

The first mindset is to use all the data, not just some of it, not a random sample, but the whole data.

The second change in thinking: only by accepting inaccuracy can we have the opportunity to open a new window to the world, that is, not precision, but hybridity.