Course Schedule

The following is a tentative schedule for the course (subject to change).

Topic	Deadlines & Materials
Week 1: January 25 – 31
Introduction to Big Data Lecture 1 Recording Big Data Case Studies and Datasets Lecture 2 Recording A Quick Tour of Go Lecture 3 Recording	Google Flu Trends Traps in Big Data Analysis Netflix Recommendations How Facebook Labels You Oxide LLM Usage Guide Go resources Go Official Documentation A Tour of Go Learn Go With Tests Go builtins Go Youtube Channel Go by Example Goland IDE SSHing to Orion
Week 2: February 1 – 7
Unit 1: Scaling and Storage Slightly More Advanced Go Lecture 4 Recording Scaling Out Lecture 5 Recording Research Papers and HDFS Presentation Lecture 6 Recording	Protocol Buffers Chat Example JVM Serialization Performance Paper 0: HDFS Research Papers Research Paper Library Research Paper Guidelines Keshav: How to Read a Paper
Week 3: February 8 – 14
HDFS, Warehouse-Scale Computing Lecture 7 Recording Network Design Lecture 8 Recording 1 Recording 2	Lab 1 Due ⋅ February 9 Spurious Correlations Warehouse-scale Computing The Datacenter as a Computer Back-of-Envelope Calculations Elements of Scale The Friendship that made Google Underwater Datacenter Submarine Cable Map PingFS PiFS Scalable Server Design The C10K Problem (1999) High-Performance Server Design
Week 4: February 15 – 21
Fault Tolerance and Consensus Lecture 9	Quiz 1 ⋅ February 18 Lab 2 Due ⋅ February 16 Lab 3 Due ⋅ February 16 Jepsen
Week 5: February 22 – 28
Distributed Hash Tables	Lab 4 Due ⋅ February 25 Paper 1: Dynamo ⋅ February 25
Week 6: March 1 – 7
Data Models
Week 7: March 8 – 14
Unit 2: Distributed & Parallel Computation Introduction to Distributed Computation Hadoop Setup	Quiz 2 ⋅ March 11
Week 8: March 15 – 21
Spring Break!
Week 9: March 22 – 28
Hadoop MapReduce
Week 10: March 29 – April 4
Designing a MapReduce Job
Week 11: April 5 – 11
Spark Setup Cluster Orchestration
Week 12: April 12 – 18
Unit 3: Streaming Algorithms and Applications Big Data Sampling Techniques Bloom Filters	Quiz 3 ⋅ April 15
Week 13: April 19 – 25
Data Sketches
Week 14: April 26 – May 2
Spatiotemporal Data Working with Spark
Week 15: May 3 – 9
Spark Streaming SageDB, Machine Learning	Quiz 4 ⋅ May 6
Week 16: May 10 – 16
Wrapping up the Semester
Week 17: May 17 – 23
Final Quiz: Monday, May 18 ⋅ 10:00am – 10:30 am