Stream Processing and Analytics

15 lectures

Lecture notes and study resources for this subject.

01Lecture 01 · Stream Processing and Analytics — Course Overview and Core Concepts

02Lecture 02 · Events, Topics, Non-Functional Requirements, and the Big Data Data Model

03Lecture 03 · Real-Time Systems and Stream Processing

04Lecture 04 · Stream Processing: Architecture and Processing Strategies

05Lecture 05 · ZooKeeper: Configuration and Coordination in the Streaming Pipeline

06Lecture 06 · Message Delivery Semantics

07Lecture 07 · Kafka Architecture

08Lecture 08 · Mid-Semester Problem Solving: Architecture, Message Design, and Kafka Partition Estimation

09Lecture 09 · Kafka Streaming Demo and a High-Level View of Spark

10Lecture 10 · Spark Streaming: Architecture, Setup, DataFrames, and RDDs

11Lecture 11 · Spark Structured Streaming: Word Counts, Output Modes, and Windows

12Lecture 12 · Window Concepts and Streaming Algorithms

13Lecture 13 · Streaming Algorithms: Decaying Window and Membership

14Lecture 14 · Bloom Filters and Count-Min Sketch

15Lecture 15 · Exam Review and Preparation Guidance

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