## Big Data Learning Tutorial Outline
Chapter 1: Big Data Basics
1.1 The concept and characteristics of big data
Definition of big data
Characteristics of Big Data
1.2 Big Data Technology Stack
The history of big data technology development
Classification and Composition of Big Data Technology Stacks
Introduction to Big Data Open Source Technology
1.3 Big data processing mode
batch mode
stream processing mode
Chapter 2: Hadoop Ecosystem
2.1 Introduction to Hadoop
Definition and development history of Hadoop
The composition and architecture of Hadoop
2.2 HDFS
The concept and characteristics of HDFS
Architecture and working principle of HDFS
2.3 MapReduce
The concept and characteristics of MapReduce
Workflow and programming model of MapReduce
2.4 YARN
The concept and characteristics of YARN
Architecture and working principle of YARN
2.5 Introduction to Hadoop Ecosystem
Introduction to other components in the Hadoop ecosystem
Integration of Hadoop with other big data technologies
Chapter 3: Big Data Storage Technology
3.1 HBase
The concept and characteristics of HBase
The architecture and working principle of HBase
3.2 Hive
Concepts and Features of Hive
The architecture and working principle of Hive
3.3 Cassandra
The concept and characteristics of Cassandra
Architecture and working principle of Cassandra
3.4 Comparison of big data storage technologies
Comparative analysis of HBase, Hive and Cassandra
Chapter 4: Big Data Processing Technology
4.1 Spark
The concept and characteristics of Spark
The architecture and working principle of Spark
4.2 Big
The concept and characteristics of Flink
Flink's architecture and working principle
4.3 Storm
Concept and Features of Storm
Storm's architecture and working principle
4.4 Comparison of big data processing technologies
Comparative analysis of Spark, Flink and Storm
Chapter 5: Big Data Applications
5.1 Big data application scenarios
Application examples of big data in e-commerce, finance, medical care, logistics and other fields
5.2 Big data analysis and mining
The concept and process of big data analysis and mining
Big data analysis and mining techniques and tools
5.3 Big Data Visualization
Concepts and principles of big data visualization
Tools and Examples of Big Data Visualization
5.4 Big Data Security
Concepts and challenges of big data security
Solutions and Tools for Big Data Security
Chapter 6: Big Data Cases in Practice
6.1 Practical overview of big data cases
The process and method of big data case combat
6.2 Analysis of E-commerce Website User Behavior
Collection and processing of user behavior data on e-commerce websites
E-commerce website user behavior analysis methods and tools
6.3 Construction of financial risk control system
Financial data collection and cleaning
Financial risk control model establishment and optimization
6.4 Analysis of Medical and Health Data
Healthcare data collection and processing
Healthcare data analysis and mining
6.5 Construction of logistics and transportation optimization system
Logistics transportation data collection and processing
Logistics and transportation optimization model establishment and optimization
Chapter 7: Big Data Development Trend
7.1 Overview of Big Data Development Trends
Big data technology development trend
Big data application development trend
7.2 Artificial Intelligence and Big Data
The relationship between artificial intelligence and big data
Application examples of artificial intelligence and big data
7.3 Cloud Computing and Big Data
The relationship between cloud computing and big data
Application examples of cloud computing and big data
7.4 Blockchain and Big Data
The relationship between blockchain and big data
Application examples of blockchain and big data