Streaming Data Processing with Apache Kafka and KSQL

  1. Introduction to ksqlDB
    1. What is ksqlDB?
      1. Overview of ksqlDB
        1. SQL Interface for Kafka
          1. Supported SQL Syntax
            1. Interactive Querying
              1. SQL Extensions for Streaming
              2. Event Streaming Database
                1. Continuous Queries
                  1. Materialized Views
                    1. Real-Time Processing
                  2. ksqlDB Architecture
                    1. ksqlDB Server and CLI
                      1. Server Components
                        1. Command-Line Interface Features
                          1. REST API
                          2. Interaction with Kafka Brokers
                            1. Data Flow Between ksqlDB and Kafka
                              1. Topic Management
                                1. Consumer Group Management
                                2. Persistent Queries
                                  1. Definition of Persistent Queries
                                    1. Query Lifecycle
                                      1. Query State Management
                                    2. Core Abstractions in ksqlDB
                                      1. Streams
                                        1. Definition of a Stream
                                          1. Use Cases for Streams
                                            1. Stream Characteristics
                                            2. Tables
                                              1. Definition of a Table
                                                1. Use Cases for Tables
                                                  1. Table Characteristics
                                                2. Duality of Streams and Tables
                                                  1. Representing a Stream as a Table
                                                    1. Materialization Process
                                                      1. Aggregation Requirements
                                                      2. Representing a Table as a Stream
                                                        1. Change Data Capture
                                                          1. Changelog Streams

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                                                      2. Fundamentals of Apache Kafka

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                                                      4. Setting Up the Environment