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