What are the main things to learn about big data technology?

The main learning content of big data technology covers: Big data basics: concepts, characteristics, data types Big data processing and analysis: data cleaning, analysis technology Big data platforms and tools: Hadoop, Spark, NoSQL Big data security and Privacy: Data security technology, data privacy protection Big data applications: data analysis, personalized recommendations, fraud detection, healthcare

Main big data technology Learning content

1. Big data basics

• Big data concepts, characteristics, challenges
• Data types, sources and collection
• Distributed storage system (Hadoop, HDFS)
• Distributed computing framework (MapReduce, Spark)

2. Big data processing and analysis

• Data cleaning and preprocessing
• Data analysis technology (statistical analysis, machine learning, deep learning)
• Data mining and knowledge discovery
• Visualization and data display

3. Big data platform and tools

##Hadoop ecosystem (Hive, Pig, Sqoop)
Spark Ecosystem (Spark SQL, MLlib, MLLib)
• NoSQL Database (MongoDB, Cassandra)
• Cloud Computing Platform (AWS, Azure, GCP)

4. Big data security and privacy

Data security technology (encryption, access control)
• Data privacy protection (anonymization, pseudo-anonymization)
• Big data security regulations and compliance

5. Big data application

Data analysis and decision support
Personalized Recommendation and Precision Marketing
• Fraud Detection and Risk Management
• Health Care and Bioinformatics
• Supply Chain Management and Logistics Optimization

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