7.2 Spark Basics
上一节
下一节
林孟达
目录
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Chapter 0 Course Introduction
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● Course Introduction
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Chapter 1 Introduction & Overview
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● 1.1 Data Definition
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● 1.2 Data Explosion
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● 1.3 Connotation and Characteristics of Big Data
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● 1.4 Big Data Industry
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● 章节习题
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Chapter 2 Software Foundation
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● 2.1 Linux Basics
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● 2.2 Linux Practice
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● Exp1 Linux Shell Command
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● 2.3 Python Basics
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● 2.4 Python Practice
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● Exp2 Web Crawling
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Chapter 3 Data Storage & Management
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● 3.1 Distributed System
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● 3.2 HDFS
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● 3.3 NoSQL
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● 3.4 HBase
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● 3.5 Hive
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● 章节习题
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Chapter 4 Data Preprocessing
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● 4.1 Data CLeaning
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● 4.2 Data Integration & Transformation
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● 4.3 Data Reduction & Masking
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● 4.4 Data Preprocessing Practice
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● Exp 3.1
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● Exp 3.2
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● 章节习题
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Chapter 5 Data Analysis
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● 5.1 Data Analysis
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● 5.2 Supervised Leaning Algorithm1
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● 5.3 Supervised Learning Algorithm2
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● 5.4 Unsupervised Learning Algorithm
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● 5.5 Model Evaluation
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● 5.6 Artificial Neural Networks
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● Exp4.1 EDA
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● Exp4.2 ML
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● 章节习题
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Chapter 6
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● 6.1 Data Visualization Methodology
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● 6.2 Data Charts
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● 6.3 Data Visualization Practice
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● 6.4 Machine Learning Practice
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Chapter 7 Processing Framework
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● 7.1 MapReduce
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● 7.2 Spark Basics
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● 7.3 RDD Operations
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● 7.4 Stream Processing1
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● 7.5 Stream Processing2
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● 章节习题
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Chapter 8 Data Governance & Data Security and Privacy Protection
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● Data Governance & Data Security and Privacy Protection
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