Dataware for data-driven transformation

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Real-time Stream Processing with MapR

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About this Course

This course introduces the core concepts involved in building simple MapR Streams applications. It covers the benefits of MapR Streams 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 (DEV 350)
  • Motivation Behind MapR-ES
  • MapR Streams Differences
  • MapR-ES in Common Use Cases
Lab Activities
    • No labs
2: MapR Streams Architecture
  • Core Components of MapR-ES
  • Life of a Message in MapR-ES
  • How MapR-ES 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-ES Applications with the Kafka Java API
Lab Activities
    • Develop MapR-ES 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

Classes

If you are interested in this or any other instructor-led course (live-virtually or on-site), please email us at es-ilt@mapr.com.

Prerequisites

  • Completion of the MapR Academy on-demand courses: ESS 100 - 102, and ESS 350
  • Basic Hadoop knowledge
  • Beginning to intermediate Linux skills including familiarity with command-line options such as ls, cd, cp, and su
  • Beginning to intermediate proficiency programming with Java in an IDE
  • Laptop with internet access and a browser installed

FAQ

Have questions? View our Frequently Asked Questions to get answers.

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