Date	Location	Topic	Notes	Reading
Week 1
2018-08-28 15:00-17:00	Sal-B	Introduction	slides [pdf]	The NIST Definition of Cloud Computing [pdf] Above the Clouds: A Berkeley View of Cloud Computing [pdf] A Comparative Taxonomy and Survey of Public Cloud Infrastructure Vendors [pdf]
2018-08-31 10:00-12:00	K-208	Storage (GFS, Flat FS)	slides [pdf]	The Google File System [pdf] Flat Datacenter Storage [pdf]
Week 2
2018-09-03 15:00-17:00	Sal-B	Storage (Dyanmo, BigTable, Cassandra)	slides [pdf]	Dynamo: Amazon's Highly Available Key-value Store [pdf] Bigtable: A Distributed Storage System for Structured Data [pdf] Cassandra: A Decentralized Structured Storage System [pdf]
Week 3
2018-09-10 13:00-15:00	Sal-C	Programming Languages (Scala)	slides [pdf]	Scala By Example [pdf]
2018-09-14 10:00-12:00	K-208	Parallel Data Processing (MapReduce, FlumeJava)	slides [pdf]	MapReduce Simplifed Data Processing on Large Clusters [pdf] FlumeJava: Easy, Efficient Data-Parallel Pipelines [pdf] Data-Intensive Text Processing with MapReduce (Ch. 2-3)
Week 4
2018-09-18 10:00-12:00	Sal-C	Parallel Data Processing (Spark)	slides [pdf]	Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing [pdf] Spark - The Definitive Guide (Ch. 2, 12-14)
Week 5
2018-09-24 15:00-17:00	Sal-C	Structured Data Processing (Spark SQL)	slides [pdf] [data]	Spark SQL: Relational Data Processing in Spark [pdf] Spark - The Definitive Guide (Ch. 4-11)
2018-09-27 10:00-12:00	Sal-B	Stream Processing (Introduction, Kafka)	slides [pdf]	High-Availability Algorithms for Distributed Stream Processing [pdf] Kafka: a Distributed Messaging System for Log Processing [pdf] Designing Data-Intensive Applications (Ch. 11) Fundametals of Stream Processing (Ch. 1-5, 7, 9)
Week 6
2018-10-01 13:00-15:00	Sal-C	Stream Processing (Storm, Millwheel, Google Dataflow)	slides [pdf] [src]	Storm @Twitter [pdf] MillWheel: Fault-Tolerant Stream Processing at Internet Scale [pdf] The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing [pdf]
2018-10-05 13:00-15:00	Sal-B	Stream Processing (Spark Streaming, Flink)	slides [pdf] [src]	Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters [pdf] Apache Flink: Stream and Batch Processing in a Single Engine [pdf] Spark - The Definitive Guide (Ch. 20-23)
Week 7
2018-10-08 15:00-17:00	Sal-B	Graph Processing (Pregel, GraphLab, X-Stream)	slides [pdf]	Pregel: A System for Large-Scale Graph Processing [pdf] Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud [pdf] PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs [pdf] X-Stream: Edge-Centric Graph Processing using Streaming Partitions [pdf]
2018-10-09 10:00-12:00	Sal-A	Graph Processing (GraphX, Giraph++, Pegasus)	slides [pdf]	GraphX: Graph Processing in a Distributed Dataflow Framework [pdf] From "Think Like a Vertex" to "Think Like a Graph" [pdf] Pegasus: Mining Peta-Scale Graphs [pdf] Spark - The Definitive Guide (Ch. 30)
2018-10-12 10:00-12:00	Sal-C	Resource Management (Mesos, YARN)	slides [pdf]	Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center [pdf] Apache Hadoop YARN: Yet Another Resource Negotiator [pdf]