Big Data and Java and the difference?

What’s the difference between big data and Java?

Java is a computer programming language that can be used to do many jobs. Big data development is one of them, and big data is an Internet direction, just like it is now built on the basis of big data. The direction of AI is the same. They are not of the same type, but they have a relationship of inclusion and being included.

The significance of big data

Today’s society is a rapidly developing society, with advanced science and technology, information circulation, and communication between people. Communication is getting closer and closer, and life is becoming more and more convenient. Big data is the product of this high-tech era. Alibaba founder Jack Ma mentioned in his speech in Taiwan that the future era will not be the IT era, but the DT era. DT is Data Technology, which shows that big data is of great importance to Alibaba Group.

Some people compare data to a coal mine containing energy. Coal is classified according to its properties: coking coal, anthracite coal, fat coal, lean coal, etc., and the excavation costs of open-pit coal mines and deep mountain coal mines are different. Similarly, big data does not lie in "big", but in "useful". Value content and mining cost are more important than quantity. For many industries, how to utilize this large-scale data is the key to winning the competition.

The value of big data is reflected in the following aspects:

(1) Enterprises that provide products or services to a large number of consumers can use big data for precision marketing;

(2) Small, medium and micro enterprises with a small but beautiful model can use big data to transform services;

(3) Traditional enterprises that must transform under the pressure of the Internet need to keep pace with the times and make full use of the value of big data .

However, the great significance of "big data" in economic development does not mean that it can replace all rational thinking on social issues. The logic of scientific development cannot be lost in massive data. The famous economist Ludwig von Mises once reminded: "Today, many people are busy with the useless accumulation of data, so that they have lost their understanding of the special economic significance in explaining and solving problems. .” This is indeed something we need to be vigilant about.

In this rapidly developing era of smart hardware, an important issue plaguing application developers is how to find the delicate balance between power, coverage, transmission rate and cost. Business organizations leverage relevant data and analytics to help them reduce costs, increase efficiency, develop new products, make smarter business decisions, and more. For example, by combining big data and high-performance analysis, the following situations that are beneficial to the enterprise may occur:

(1) Timely analysis of the root causes of faults, problems and defects may save the enterprise tens of thousands of dollars every year One hundred million U.S. dollars.

(2) Plan real-time traffic routes for thousands of express vehicles to avoid congestion.

(3) Analyze all SKUs, price and clear inventory with the goal of maximizing profits.

(4) Based on the customer’s purchasing habits, push preferential information that he may be interested in.

(5) Quickly identify gold medal customers from a large number of customers.

(6) Use click stream analysis and data mining to avoid fraud.

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