I. Big Data Acquisition Technology
Data refers to various types of structured, semi-structured (or called weakly structured) and unstructured massive data obtained by means of RFID radio frequency data, sensor data, social network interaction data, and mobile Internet data, which is the root of the big data knowledge service model.
Two, big data preprocessing technology
Mainly complete the analysis of the received data, extraction, cleaning and other operations.1) Extraction: because the acquired data may have a variety of structures and types, the data extraction process can help us to transform these complex data into a single or easy to deal with configurations, in order to achieve the purpose of rapid analysis and processing.2) Cleaning: for big data, not all of them are valuable. Not all valuable, some data is not what we care about, while some other data is completely wrong interference, so the data should be filtered through the "denoising" to extract valid data.
Three, big data storage and management technology
Big data storage and management to use the memory to store the collected data, the establishment of the corresponding database, and management and call. Focus on solving complex structured, semi-structured and unstructured big data management and processing technology. It mainly solves several key problems such as storable, representable, processable, reliable and effective transmission of big data.
Four, big data analysis and mining technology
Big data analysis technology. Improve existing data mining and machine learning techniques; develop new data mining techniques such as data network mining, specific group mining, graph mining; breakthroughs in object-based data connectivity, similarity connectivity and other big data fusion techniques; breakthroughs in user interest analysis, network behavior analysis, emotional semantic analysis and other domain-oriented big data mining techniques.
Sixth, big data presentation and application technology
Big data technology can be hidden in the massive data information and knowledge mining out for human socio-economic activities to provide the basis for improving the operational efficiency of various fields, and greatly improve the degree of intensification of the entire socio-economic. In China, big data will focus on the application of the following three major areas: business intelligence, government decision-making, public **** services. For example: business intelligence technology, government decision-making technology, telecommunication data information processing and mining technology, grid data information processing and mining technology, meteorological information analysis technology, environmental monitoring technology, police cloud application system (road monitoring, video surveillance, network monitoring, intelligent transportation, anti-telecommunication fraud, command and control, and other public security information systems) This answer is based on the Baidu library of information collated from the original text, please refer to the Big Data Key Technologies"