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Chapter 1 : Introduction to Messaging Systems
Understanding the principles of messaging systems
Understanding messaging systems
Peeking into a point-to-point messaging system
Advance Queuing Messaging Protocol
Using messaging systems in big data streaming applications
Summary

Chapter 2 : Introducing Kafka the Distributed Messaging Platform
Kafka origins
Kafka's architecture
Message topice
Message partitions
Replication and replicated logs
Message producers
Message consumers
Role of Zookeeper
Summary

Chapter 3 : Deep Dive into Kafka Producers
Katka prodicer internals
Katka prodicer APls
Java Katka prodicer example
Common messaging publishing patterns
Best practiecs
Summary

Chapter 4: Deep Dive into Katka Consumers
Katka Consumers internals
Katka Consumers APIs
Java Katka Consumers
Scala Katka Consumers
Common message consuming patterns
Best practices
Summary

Chapter 5 : Building Spark Streaming Applications with Kafka
Introduction to Spark
Spark Streaming
Use case log processing - fraud IP detection
Producer
Summary

Chapter 6 : Building Storm Applications with Kafka
Introduction to Apache Storm
Introduction Apache Heron
Introduction Apache Kafka with Apache Storm - Java
Introduction Apache Kafka with Apache Storm - Scala
Use case - log processing in Storm, Kafka, Hive
Summary

Chapter 7 : Using Kafka with Confluent Platform
Introduction to Confluent Platform
Deep driving into Confluent architecture
Understanfing Kafka Connect and Kafka Stream
Playing with Avro using Schema Registry
Moving Kafks data to HDFS
Summary

Chapter 8 : Building ETL Pipelines Using Kafka
Considerations for using Kafka in ETL popelines
Introducing Kafka Connect
Deep dive into Kafka Connect
Introductory examples of using Kafka Connect
Kafka Connect common use cases
Summary

Chapter 9 : Building Streaming Applications Using Kafka Streams
Introduction to Kafka Streams
Kafka Streams architecture
Integrated framework advantages
Understanding tables and Streams togerher
Use case example of Kafka Streams
Summary

Chapter 10 : Kafka Cluster Deployment
Kafka cluster internals
Capacity planning
Single cluster deployment
Multicluster deployment
Decommissioning brokers
Data migration
Summary

Chapter 11 : Using Kafka in Big Data Applications
Managing high volumes in Kafka
Kafka message delivery semantics
Big data and Kafka common usage patterns
Kafka and data governance
Alerting and monitoring
Useful Kafka matrices
Summary

Chapter 12 : Securing Kafka
An overview of securing Kafka
Wire encryption using SSL
Kerberos SASL for authentocation
Understanding ACL and authorization
Understanding Zookeeper authorization
Apache Ranger for authorization
Best practices
Summary

Chapter 13 : Streaming Application Design Considerations
Latency and throughput
Data and state persistence
Data sourecs
External data lookups
Data formats
Data serialization
Level of parallelism
Out-of -order events
Message processing semantics
Summary