Date	Location	Topic	Notes	Reading
Week 1
2019-08-27 15:00-17:00	Sal-B	Introduction	[slides] [printable]	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]
2019-08-30 15:00-17:00	Sal-B	Storage (GFS, HopsFS) Guest Lecturer: Salman Niazi	GFS [slides] [printable] HopsFS [slides]	The Google File System [pdf] HopsFS: Scaling Hierarchical File System Metadata Using NewSQL [pdf]
Week 2
2019-09-03 15:00-17:00	Sal-B	Storage (BigTable, Cassandra, Neo4j)	[slides] [printable]	Bigtable: A Distributed Storage System for Structured Data [pdf] Cassandra: A Decentralized Structured Storage System [pdf] Graph Databases (Ch. 3, 6) Neo4j Documentation [link]
2019-09-5 15:00-17:00	Sal-C	Programming Languages (Scala)	[slides] [printable]	Scala By Example [pdf]
Week 3
2019-09-10 15:00-17:00	Sal-B	Parallel Data Processing (MapReduce, FlumeJava)	[slides] [printable]	MapReduce Simplifed Data Processing on Large Clusters [pdf] FlumeJava: Easy, Efficient Data-Parallel Pipelines [pdf] Data-Intensive Text Processing with MapReduce (Ch. 2-3)
2019-09-12 15:00-17:00	Sal-C	Parallel Data Processing (Spark)	[slides] [printable]	Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing [pdf] Spark - The Definitive Guide (Ch. 2, 12-14) Spark Documentation [link]
Week 4
2019-09-17 15:00-17:00	Sal-B	Structured Data Processing (Spark SQL)	[slides] [printable]	Spark SQL: Relational Data Processing in Spark [pdf] Spark - The Definitive Guide (Ch. 4-11) Spark SQL Documentation [link]
2019-09-19 15:00-17:00	Sal-B	Stream Processing (Introduction, Kafka)	[slides] [printable]	Kafka: a Distributed Messaging System for Log Processing [pdf] Kafka Documentation [link]
Week 5
2019-09-24 15:00-17:00	Sal-B	Stream Processing (Flink) Guest Lecturer: Paris Carbone	[slides]	Apache Flink: Stream and Batch Processing in a Single Engine [pdf] State Management in Apache Flink [pdf] Flink Documentation [link]
2019-09-26 15:00-17:00	Sal-B	Stream Processing (Spark Streaming, Beam)	[slides] [printable]	Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters [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] Spark - The Definitive Guide (Ch. 20-23) Spark Streaming Documentation [link] Beam Documentation [link]
Week 6
2019-10-01 15:00-17:00	Sal-B	Graph Processing (Pregel, GraphLab)	[slides] [printable]	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]
2019-10-03 15:00-17:00	Sal-C	Graph Processing (X-Stream, GraphX)	[slides] [printable]	X-Stream: Edge-Centric Graph Processing using Streaming Partitions [pdf] GraphX: Graph Processing in a Distributed Dataflow Framework [pdf] Spark - The Definitive Guide (Ch. 30) GraphX Documentation [link]
Week 7
2019-10-08 15:00-17:00	Sal-C	Resource Management (Mesos, YARN)	[slides] [printable]	Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center [pdf] Apache Hadoop YARN: Yet Another Resource Negotiator [pdf]