Santa Clara University

Big-Data-MapReduce-Course

Course Information

• Spring 2016: Graduate Business, Leavey School of Business
• Course MSIS 2627: Big Data Modeling & Analytics
• Big-Data/MapReduce Course @ Santa Clara University
• Class duration: March 28 - June 7, 2016
• Class hours: Tuesday & Thurday 5:45pm - 7:00pm PST
• Class room: Lucas Hall 210
• Office: 321 T, Lucas Hall
• Required books (all resources are online):
  • 1. Introduction to MapReduce by Mahmoud Parsian
  • 2. Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer
  • 3. Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

Syllabus

Midterm Exam: TBDL

Final Exam: Tuesday, June 7, 2016 from 5:45pm-7:45pm PST

Description

The main focus of this class is to cover the following concepts:

• Concepts of Big Data
• Distributed computing
• MapReduce paradigm
• Scale-out architectures (using Hadoop and Spark)
• Spark DAG
• Use Spark, Py-Spark, Hadoop, and Java to teach MapReduce and distributed computing

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My latest book:

Data Algorithms Book

Data Algorithms: Recipes for Scaling up with Hadoop and Spark