- Spring 2017: Graduate Business, Leavey School of Business
- Course MSIS 2627: Big Data Modeling & Analytics
- Big-Data-MapReduce Course @ Santa Clara University
- Class number: 52085
- Class duration: April 4 - June 15, 2017
- Class hours:
- Tuesday 5:45pm - 7:00pm PST
- Thursday 5:45pm - 7:00pm PST
- Class room: Lucas Hall 310
- Office: 321 T, Lucas Hall
- Required books and papers (all resources are online):
- Midterm Exam: May (To-Be-Determined-Later), 2017 from 5:45pm to 7:00pm PST
- Final Exam: Thursday, June 15, 2017 from 5:45pm-7:45pm PST
The main focus of this class is to cover the following concepts:
- Concepts of Big Data
- Distributed File Systems
- Distributed Computing
- Distributed and Parallel Algorithms
- MapReduce Paradigm
- Scale-out Architectures (using Hadoop, Spark, PySpark)
- Apache Spark: http://spark.apache.org/
- Use Spark, Py-Spark, Hadoop, and Java to teach MapReduce and distributed computing
Data Algorithms: Recipes for Scaling up with Hadoop and Spark