Apache Spark 2.0 与 Java - 从大数据大师那里学习 Spark
上次更新时间：2024-11-18
课程售价: 2.9 元
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课程内容
- 1 - Course Overview (免费)
- 2 - How to Take this Course and How to Get Support (免费)
- 4 - Introduction to Spark
- 7 - Install Java and Git
- 9 - Set up Spark project with IntelliJ IDEA
- 10 - Set up Spark project with Eclipse
- 12 - Run our first Spark job
- 14 - RDD Basics
- 15 - Create RDDs
- 17 - Map and Filter Transformation
- 18 - Solution to Airports by Latitude Problem
- 19 - FlatMap Transformation
- 21 - Set Operation
- 24 - Actions
- 25 - Solution to Sum of Numbers Problem
- 26 - Important Aspects about RDD
- 27 - Summary of RDD Operations
- 28 - Caching and Persistence
- 29 - Spark Architecture
- 30 - Spark Components
- 31 - Introduction to Pair RDD
- 32 - Create Pair RDDs
- 33 - Filter and MapValue Transformations on Pair RDD
- 34 - Reduce By Key Aggregation
- 35 - Sample solution for the Average House problem
- 36 - Group By Key Transformation
- 37 - Sort By Key Transformation
- 38 - Sample Solution for the Sorted Word Count Problem
- 39 - Data Partitioning
- 40 - Join Operations
- 42 - Accumulators
- 44 - Solution to StackOverflow Survey Followup Problem
- 45 - Broadcast Variables
- 46 - Introduction to Spark SQL
- 47 - Spark SQL in Action
- 48 - Spark SQL practice House Price Problem
- 49 - Spark SQL Joins
- 50 - Strongly Typed Dataset
- 51 - Use Dataset or RDD
- 52 - Dataset and RDD Conversion
- 53 - Performance Tuning of Spark SQL
- 55 - Introduction to Running Spark in a Cluster
- 56 - Package Spark Application and Use sparksubmit
- 57 - Run Spark Application on Amazon EMR Elastic MapReduce cluster
- 58 - Future Learning
课程内容
45个讲座
- 1 - Course Overview (免费)
- 2 - How to Take this Course and How to Get Support (免费)
- 4 - Introduction to Spark
- 7 - Install Java and Git
- 9 - Set up Spark project with IntelliJ IDEA
- 10 - Set up Spark project with Eclipse
- 12 - Run our first Spark job
- 14 - RDD Basics
- 15 - Create RDDs
- 17 - Map and Filter Transformation
- 18 - Solution to Airports by Latitude Problem
- 19 - FlatMap Transformation
- 21 - Set Operation
- 24 - Actions
- 25 - Solution to Sum of Numbers Problem
- 26 - Important Aspects about RDD
- 27 - Summary of RDD Operations
- 28 - Caching and Persistence
- 29 - Spark Architecture
- 30 - Spark Components
- 31 - Introduction to Pair RDD
- 32 - Create Pair RDDs
- 33 - Filter and MapValue Transformations on Pair RDD
- 34 - Reduce By Key Aggregation
- 35 - Sample solution for the Average House problem
- 36 - Group By Key Transformation
- 37 - Sort By Key Transformation
- 38 - Sample Solution for the Sorted Word Count Problem
- 39 - Data Partitioning
- 40 - Join Operations
- 42 - Accumulators
- 44 - Solution to StackOverflow Survey Followup Problem
- 45 - Broadcast Variables
- 46 - Introduction to Spark SQL
- 47 - Spark SQL in Action
- 48 - Spark SQL practice House Price Problem
- 49 - Spark SQL Joins
- 50 - Strongly Typed Dataset
- 51 - Use Dataset or RDD
- 52 - Dataset and RDD Conversion
- 53 - Performance Tuning of Spark SQL
- 55 - Introduction to Running Spark in a Cluster
- 56 - Package Spark Application and Use sparksubmit
- 57 - Run Spark Application on Amazon EMR Elastic MapReduce cluster
- 58 - Future Learning