Practical Real-time Data Processing and Analytics
上QQ阅读APP看书,第一时间看更新

What this book covers

Section – A:  Introduction – Getting Familiar

This section gives the readers basic familiarity with the real-time analytics spectra and domains. We talk about the basic components and their building blocks. This sections consist of the following chapters:

  • Chapter 1: Introducing Real-Time Analytics
  • Chapter 2: Real-Time Application – The Basic Ingredients

Section – B:  Setup and Infrastructure

This section is predominantly setup-oriented, where we have the basic components set up. This sections consist of the following chapters:

  • Chapter 3: Understanding and Tailing Data Streams
  • Chapter 4: Setting Up the infrastructure for Storm
  • Chapter 5: Configuring Apache Spark and Flink

Section – C: Storm Computations

This section predominantly focuses on exploring Storm, its compute capabilities, and its various features. This sections consist of the following chapters:

Section – D: Using Spark Compute In Real Time

This section predominantly focuses on exploring Spark, its compute capabilities, and its various features. This sections consist of the following chapters:

Section – E: Flink for Real-Time Analytics
This section focuses on exploring Flink, its compute capabilities, and its various features.

Section – F: Let’s Have It Stringed Together

This sections consist of the following chapters: