- Practical Real-time Data Processing and Analytics
- Shilpi Saxena Saurabh Gupta
- 241字
- 2021-07-08 10:23:03
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:
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:
- Chapter 9: Working with Spark
- Chapter 10: Working with Spark Operations
- Chapter 11: Spark Streaming
Section – E: Flink for Real-Time Analytics
This section focuses on exploring Flink, its compute capabilities, and its various features.
- Chapter 12: Working with Apache Flink
Section – F: Let’s Have It Stringed Together
This sections consist of the following chapters:
- Chapter 13: Case Study 1
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