Real-time Stream Processing with MapR

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About this Course

This course introduces the core concepts involved in building simple MapR Event Store applications. It covers the benefits of MapR Event Store for developing big data processing applications, a basic framework for building producer and consumer applications, and options for configuring these applications.

Duration: 1 day

What’s Covered in the Course

1: Introduction to MapR-ES (Now called MapR Event Store) (DEV 350)
  • Motivation Behind MapR Event Store
  • MapR Event Store Differences
  • MapR Event Store in Common Use Cases
Lab Activities
    • No labs
2: MapR Event Store Architecture
  • Core Components of MapR Event Store
  • Life of a Message in MapR Event Store
  • How MapR Event Store Fits in the Complete Data Architecture
Lab Activities
    • No labs
Lesson 3: Introduction to Producers and Consumers (DEV 351)
  • Create a Stream
  • Develop a Java Producer
  • Develop a Java Consumer|Develop MapR Event Store Applications with the Kafka Java API
Lab Activities
    • Develop MapR Event Store Applications with the Kafka Java API
Lesson 4: Producer and Consumer Details
  • Describe Procedure Properties and Options
  • Describe Consumer Properties and Options
  • Explain Messaging Semantics|Run Multiple Producers and Consumers
  • Modify Producer and Consumer Properties|
Lab Activities
    • Run Multiple Producers and Consumers
    • Modify Producer and Consumer Properties