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I talk about big data every day. Do you really understand?

  

On big data, many netizens continue to ask, what is big data? In fact, sometimes I can't say the questions, so I specially arranged the following questions and answers, which are easy to learn:
What is big data?
Big data (big data), known as conventional software tools to capture, manage and process data within a certain time frame, is a new way of processing. It has the need for strong decision-making ability, insight, discovery and processing of a large number of optimization capabilities, high growth rates and diversified information assets.
What is the unit of big data?
The smallest basic unit is the bit, in order to give all units: bit, byte,,,,,,,,,,,, and.
What are the characteristics of big data? big data
Features (): volume (large), speed (high speed), diversity (large), value (low value density), accuracy (authenticity)
What are the main technologies of big data?
Big data needs special technology to effectively handle the tolerance time of large data volume. Technologies applicable to big data include large-scale parallel processing () databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.
What is the national policy of big data?
In September, the State Council issued the "Outline" to promote the development of big data, which defined a batch of internationally competitive analysis and visualization software and hardware platforms formed by large-scale data processing, and fostered the core leading enterprises of big data in the world, and manufacturing enterprises of big data applications, services and products.
What is the size of the big data market?
Research institutions predict that the market size of global data (big data) and analysis will increase from US $billion to over US $billion annually and reach US $billion by the end of the year. The survey report on big data released by the China Academy of Information Communication (CICC) on "()" shows that China's big data market has reached billion yuan, and it is expected that the growth will remain above from to. The survey shows that nearly enterprises have established data analysis departments, and more than enterprises have applied big data. The most obvious impact of large enterprises on data applications is to achieve intelligent decision-making and improve operational efficiency.
What do you want to know about the top ten data?
。, Macy's real-time pricing mechanism. According to the demand and inventory, the company based on the system can adjust the real-time price of up to 10000 kinds of goods.
Silver gaming and European gaming industry prediction platform. The company uses software to analyze billions of transactions and customer characteristics, and then uses prediction models to execute specific user dynamic marketing activities. This measure reduces the construction time of the prediction model. Attempting to acquire. "I hope to reverse the weakness of long-term acquisition prediction analysis." Lenny analyzed.
Wal Mart Search. The latest search engine designed by retail oligarchs uses semantic data for text analysis, machine learning and topic mining on its website, Polaris. According to Wal Mart, the use of semantic search technology has increased the online shopping rate to. "For Wal Mart, that means billions of dollars," Lenny said.
Video analysis of the fast food industry (Lenny has no company name). The company waits for queue analysis through video, and then automatically changes the content displayed in the electronic menu. If the queue is long, food can be displayed quickly; If the queue is short, the food has higher profits and has been prepared for a long time to display.
Brand identity. Morton Steakhouse. When a customer jokingly went to the Chicago Steakhouse Chain Store via Twitter to book at Newark Airport in New York (after he was able to work here for a day), Morton started his own social performance. First, the analyzed data shows that customers are frequent customers and frequent sources. According to the customer's previous order, we can speculate about the flight, and then send the tuxedo waiter to provide dinner for the customer. Maybe this sounds strange, but you have to look at yourself: "Can I do it?" Lenny said.
The company uses the police and a group of researchers in Santa Cruz and Los Angeles to predict the probability of crime occurrence based on the earthquake prediction algorithm of variation and crime data, which can be accurate within square feet. stay