Date	Location	Topic	Notes	Reading
Week 1
2022-08-30 13:00-15:00	Sal-B	Introduction	[slides] [printable] [video 2021]	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]
2022-08-31 13:00-15:00	Sal-B	Storage GFS	[slides] [printable] [video 2021] [lab1]	The Google File System [pdf]
Week 2
2022-09-06 13:00-15:00	Sal-B	Storage (BigTable, Cassandra, Neo4j)	[slides] [printable] [video 2021]	Bigtable: A Distributed Storage System for Structured Data [pdf] Cassandra: A Decentralized Structured Storage System [pdf] Graph Databases (Ch. 3, 6) Neo4j Documentation [link]
2022-09-08 15:00-17:00	Sal-B	Scala	[slides] [printable] [video 2021]	Scala By Example [pdf]
Week 3
2022-09-13 13:00-15:00	Sal-B	Parallel Data Processing (MapReduce, FlumeJava)	[slides] [printable] [video 2021]	MapReduce Simplifed Data Processing on Large Clusters [pdf] FlumeJava: Easy, Efficient Data-Parallel Pipelines [pdf] Data-Intensive Text Processing with MapReduce (Ch. 2-3)
2022-09-15 15:00-17:00	Sal-B	Parallel Data Processing (Spark)	[slides] [printable] [video 2021] [lab2] [lab2 src]	Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing [pdf] Spark - The Definitive Guide (Ch. 2, 12-14) Learning Spark (Ch. 1-2) Spark Documentation [link]
2022-09-16 10:00-12:00	Sal-B	Lab 1	[slides]
Week 4
2022-09-20 13:00-15:00	Sal-B	Structured Data Processing (Spark SQL)	[slides] [printable] [video 2021]	Spark SQL: Relational Data Processing in Spark [pdf] Spark - The Definitive Guide (Ch. 4-11) Learning Spark (Ch. 3-6) Spark SQL Documentation [link]
2022-09-22 15:00-17:00	Sal-B	Stream Processing (Introduction, Kafka)	[slides] [printable] [video 2021] [lab3] [lab3 src]	Kafka: a Distributed Messaging System for Log Processing [pdf] Kafka Documentation [link] A Survey on the Evolution of Stream Processing Systems [pdf]
2022-09-23 10:00-12:00	Sal-B	Lab2	[slides]
Week 5
2022-09-27 13:00-15:00	Sal-B	Stream Processing (Spark Streaming, Beam)	[slides] [printable] [src] [video 2021]	Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters [pdf] Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark [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) Learning Spark (Ch. 8) Spark Streaming Documentation [link] Beam Documentation [link]
2022-09-29 15:00-17:00	Sal-B	Graph Processing (Pregel, GraphLab, GraphX)	[slides] [printable] [video 2021] [lab4] [lab4 src]	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] GraphX: Graph Processing in a Distributed Dataflow Framework [pdf] Spark - The Definitive Guide (Ch. 30) GraphX Documentation [link]
Week 6
2022-10-04 13:00-15:00	Sal-B	Resource Management (Mesos, YARN, Borg, Kubernetes)	[slides] [printable] [video 2021]	Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center [pdf] Apache Hadoop YARN: Yet Another Resource Negotiator [pdf] Large-Scale Cluster Management at Google with Borg [pdf]
2022-10-05 15:00-17:00	Sal-B	Cloud Data Lakes	[slides] [printable] [video 2021]	Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores [pdf] Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics [pdf] Learning Spark (Ch. 9)
Week 7
2022-10-11 13:00-15:00	Sal-A	Mohammadhossein Andjedani Principal MLOps Engineer at King	[slides]