What kind of innovation can the collection, storage and analysis of big data provide?

The key technologies of big data include data storage, processing and application. According to the processing flow of big data, it can be divided into big data collection, big data preprocessing, big data storage and management, big data processing, big data analysis and mining, big data display and so on.

1, big data acquisition technology

Big data collection technology refers to obtaining various types of structured, semi-structured and unstructured massive data through RFID data, sensor data, social network interaction data and mobile Internet data. Due to the diversity of data sources, large amount of data and fast generation speed, big data acquisition technology is also facing many technical challenges. It is necessary to ensure the reliability and efficiency of data acquisition and avoid data duplication.

2. Big data preprocessing technology

Pre-processing technology of big data mainly refers to the operation of analyzing, extracting, cleaning, filling, smoothing, merging, normalizing and consistency checking the received data. Because the obtained data may have various structures and types, the main purpose of data extraction is to transform these complex data into a single or easy-to-handle structure, so as to achieve the purpose of rapid analysis and processing.

3. Big data storage and management technology

The main purpose of big data storage and management is to store the collected data in memory, establish the corresponding database, and manage and call it.

4. Big data processing

There are many application types of big data, and the main processing modes can be divided into two types: stream processing mode and batch processing mode. Batch processing is storage before processing, while stream processing is direct processing.

App application

Big data is everywhere. Big data is applied to various industries, including finance, automobile, catering, telecommunications, energy, fitness and entertainment, and all walks of life are integrated with the imprint of big data.

1, manufacturing industry, using industrial big data to improve the level of manufacturing industry, including product fault diagnosis and prediction, process analysis, production process improvement, energy consumption optimization in production process, industrial supply chain analysis and optimization, production planning and scheduling.

2. In the financial industry, big data plays an important role in three major financial innovation fields: high-frequency trading, social public opinion analysis and credit risk analysis.

3. In the automobile industry, driverless cars using big data and Internet of Things technology will enter our daily life in the near future.

4. In the Internet industry, with the help of big data technology, we can analyze customer behavior, recommend products and place targeted advertisements.

5. In the telecom industry, use big data technology to analyze the customer's off-grid situation, grasp the customer's off-grid tendency in time, and introduce customer retention measures.