Building Data Streaming Applications with Apache Kafka

Manish Kumar , Chanchal Singh 저자(글)

Packt Publishing · 2017년 10월 01일

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저자(글) Manish Kumar

저자(글) Chanchal Singh

목차

• 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

기본정보

ISBN	9781787283985 ( 1787283984 )
발행(출시)일자	2017년 10월 01일
쪽수	262쪽
크기	191 * 236 * 16 mm / 516 g
총권수	1권
언어	영어