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Apache Kafka Data Streaming Boot Camp

3 Days Classroom Session   |  
3 Days Live Online
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Group Rate:
(per registrant, 2 or more)
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Live Online:
Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

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Professional Credits


ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.


Select courses offer Leadership (PDU-L), Strategic (PDU-S) and Technical PMI professional development units that vary according to certification. Technical PDUs are available in the following types: ACP, PBA, PfMP, PMP/PgMP, RMP, and SP.


One of the biggest challenges to success with big data has always been how to transport it. Conventional interoperability doesn’t cut it when it comes to integrating data with applications and real-time needs. Yet, needs continue to grow and data availability becomes more critical all the time. Even in scenarios that might not be considered “big data,” the need for services and data integration in the organization may be challenged simply by inadequate messaging and integration architecture. Kafka can serve as a key solution to address these challenges.

This hands-on training workshop gets you up and running with Apache Kafka so you can immediately take advantage of the low latency, massive parallelism and exciting use cases Kafka makes possible. Led by one of our enterprise engineering experts, you’ll get live instruction and coaching on how to be effective when using Kafka in your work or project. 

In this Kafka Training Course, You Will:

  • Explore Apache Kafka Architecture
  • Learn to configure a distributed messaging broker
  • Learn the Apache Kafka architecture and data model
  • Learn about decoupled services and distributed systems
  • Learn to build robust systems using distributed messaging brokers
  • Learn best practices for configuring Kafka clusters in production
  • Write custom Kafka producers and consumers
  • Build an application that ingests data from a streaming API
Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
Request a quote for private onsite training Request
Aug 24, 2020 – Aug 26, 2020    8:30am – 4:30pm Live Online Register
Sep 28, 2020 – Sep 30, 2020    8:30am – 4:30pm Minneapolis, Minnesota

Minneapolis - West End Conference Center
1600 Utica Ave S
Suite 100
Minneapolis, MN 55416
United States

Sep 28, 2020 – Sep 30, 2020    9:30am – 5:30pm Live Online Register
Oct 26, 2020 – Oct 28, 2020    8:30am – 4:30pm Live Online Register
Oct 26, 2020 – Oct 28, 2020    8:30am – 4:30pm Chicago, Illinois

Attune, formerly Microtek Chicago
230 W. Monroe
Suite 900
Chicago, IL 60606
United States

Nov 30, 2020 – Dec 2, 2020    8:30am – 4:30pm Live Online Register
Nov 30, 2020 – Dec 2, 2020    8:30am – 4:30pm Raleigh, North Carolina

ASPE, a Cprime Company
2000 Regency Parkway
Suite 335
Cary, NC 27518
United States

Dec 14, 2020 – Dec 16, 2020    8:30am – 4:30pm Live Online Register
Dec 14, 2020 – Dec 16, 2020    8:30am – 4:30pm Columbus, Ohio

The Fawcett Center
2400 Olentangy River Rd
Columbus, OH 43210
United States

Course Outline

Part 1: Big Data and Distributed Systems Primer

  • Distributed Systems
  • High Availability
  • Latency and Scalability
  • Message Brokers and Queues
  • Decoupling Services
  • Lambda Architecture
  • Data Partitioning

Part 2: Introduction to Apache Kafka

  • History
  • What is Kafka
  • Why Kafka
  • Features
  • Kafka in Production
  • High-Level Architecture

Part 3: Core Concepts

  • Kafka Guarantees/Message Ordering
  • Delivery Semantics
  • Dumb Broker vs. MOM
  • Kafka Semantics

Part 4: Kafka Cluster

  • Installing Cluster
  • Brokers
  • Consumers
  • Producers

Part 5: Apache Zookeeper

  • cluster management
  • roles
  • basic operations

Part 6: Kafka Producers

  • Role of Producer
  • Records
  • Message Durability
  • Batching and Compression
  • Create Console Producer
  • Publishing Data to Topics

Part 7: Kafka Consumers

  • Role of Consumer
  • Offsets
  • Consumers and Logs
  • Create Console Consumer
  • Performance tuning
  • Consumer Groups
  • Consumer Parallelism
  • Consumer Rebalancing

Part 8: The Kafka Data Model

  • Kafka Data Model
  • Topics
  • Partitions
  • Distribution
  • Reliability
  • Leaders/Followers
  • Replication Factor
  • Persistence

Part 9: The Kafka API

  • Producer API
  • Consumer API
  • Java, Scala, Python APIs
  • Creating/Modifying Topics
  • Partitioning Topics
  • Reading data from Kafka
  • Writing data to kafka

Part 10: Kafka in Production

  • Big Data Pipelines
  • Microservices
  • Case Study: Netflix
  • Apache Spark
  • Storm and Hadoop

Part: 11: Kafka Streams

  • Stream processing
  • High-Level Overview
  • Demo Application


Who should attend
  • System architects
  • Developers
  • Data engineers
  • DBAs
  • Anyone who wants to learn to use the Kafka messaging system for consuming data in their systems.

Participants in this workshop should have a working knowledge of at least one programming language (preferably Python, Java, or Scala) and be able to work from the command line in a Linux VM or container.


Download the brochure