Building Real-Time Streaming Systems with Apache Kafka, Spark & Cassandra

NA

TTDS6580

Intermediate

5 Days

Course Overview

This course will teach students on how to build streaming systems using the popular fast data stack: Apache Kafka with Apache Spark and Apache Cassandra.

 

Course Objectives

 

This “skills-centric” course is about 50% hands-on lab and 50% lecture. Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review.

 

Course Topics:  This is a high-level list of the course topics covered in this training. Please see the detailed Course Agenda with session details, lessons and labs listed below.

  • Working with Kafka (1 day)
  • Working with Cassandra (1.5 days)
  • Working with Spark (1.5 days)
  • Putting It All Together (1 day)
  • Workshop – Company Case Study Review (Optional – Time Permitting)

Course Prerequisites

This in an intermediate-level course is geared for experienced Java developers seeking to be proficient in working with Apache Kafka.  Attendees should be experienced developers who are comfortable with Java,. Students should also be able to navigate Linux command line, and who have basic knowledge of Linux editors (such as VI / nano) for editing code.

Course Agenda

Working with Kafka 

·        Kafka design & architecture

·        Getting Kafka up and running

·        Using Kafka utilities

·        Reading & Writing to Kafka using Java API

·        Lab

Working with Cassandra 

·        Cassandra design & architecture

·        CQLSH

·        Read / Write path in Cassandra

·        C* eventual consistency

·        Time series data

·        Data modeling on C*

·        Using C* Java API

·        Lab

Working with Spark 

·        Spark design and architecture

·        Spark Shell

·        Spark Data structures : RDDs, Dataframes, Datasets

·        Batch analytics with Spark

·        Writing Spark applications using Spark APIs

·        Spark streaming

·        Structured streaming

·        Lab

 

Putting It All Together 

·        Reading  Kafka streams from Spark

·        Saving streaming data from Spark into Cassandra

·        Full end to end application

·        Benchmarking

·        Monitoring

·        Tuning and Optimizing the system

·        Lab

Workshop – Group Study 

·        Students explore a practical case study or example from their own organization (bring their challenges to class)

·        We will discuss the use case in the class

·        Discuss design choices, sketch out a few designs, debate pros/cons of each design

·        Discuss best practices

 

Course Materials

Each student will receive a course Student Guide, complete with course notes, code samples, software tutorials, diagrams and related reference materials and links. Our courses also include step by step hands-on lab instructions and project files (as necessary) and solutions, clearly illustrated for users to complete hands-on work in class, and to revisit to review or refresh skills at any time.  Students will also receive the course set up files, project files (or code, if applicable) and solutions required for the hands-on work.

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