Distributed Statistical Computing for Big Data (2019 Fall)

Prerequisite

• Basic knowledge in statistics
• Basic knowledge in computing

Literature

• Selected books in distributed computing and big data
• Lecture notes
• Basic Hadoop/Spark Tutorial for Statisticians

Lecture notes

• L1: Introduction to Hadoop
• L2: Understanding MapReduce
• L3: Statistical Modeling with Hadoop MapReduce
• L4: Programming Hive
• L5: Introduction to Spark
• L6: Spark and Machine Learning
• L7: Statistical Learning with Mahout
• L8: Advanced Statistical Modeling with Spark