The following are some typical cases and analysis of big data applications:

1. Personalized recommendation system: Provide users with personalized recommended content and services by collecting and analyzing users' historical behaviors, preferences and needs. For example, Amazon's product recommendation system recommends products of interest to users by analyzing users' historical purchase records, search records, click behaviors and other data.

2. Fraud detection system: Detect and prevent fraud by collecting and analyzing large amounts of data. For example, banks use big data technology to detect credit card fraud, and by analyzing customers' credit history, transaction records and other data, they find abnormal transactions and take immediate measures.

3. Face recognition technology: Automatic identity authentication and recognition functions are realized by collecting and analyzing face image data. For example, some hotels use face recognition technology to detect guests' identities and provide them with personalized services.

4. Intelligent customer service system: Intelligent customer service is realized by collecting and analyzing large amounts of customer conversation data. For example, some companies use natural language processing technology and machine learning algorithms to train customer service robots to quickly answer and handle customer questions.