There are big data training courses all over the country, including some training institutions, online classes, blogs of technology giants and so on.
Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools in a certain period of time. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and discovery, and process optimization ability.
Data acquisition is characterized by large capacity, various types, fast access and high application value. IT was first used in the IT industry, and now it is rapidly developing into a large number of data acquisition with scattered sources and diverse formats.
Storage and correlation analysis, from which new knowledge can be found, new value can be created, and new information technology and service formats can be upgraded. Big data must adopt a distributed architecture and carry out distributed data mining on massive data, so it must rely on distributed processing of cloud computing, distributed database, cloud storage and virtualization technology.
The meaning of big data:
Today's society is a rapidly developing society with advanced technology and information circulation. People's communication is getting closer and closer, and life is becoming more and more convenient. Big data is the product of this high-tech era.
Some people compare the data to a coal mine with energy. Coal is divided into coking coal, anthracite, fat coal and lean coal by nature, but the mining cost of open-pit coal mine and deep-mountain coal mine is different.
Similarly, big data is not "big" but "useful". Value content and mining cost are more important than quantity. For many industries, how to use these large-scale data is the key to win the competition.