Kinesis Onsite Training Course

Kinesis Training

AWS Kinesis and Kinesis Firehose

Training for DevOps, Architects and Developers

Integrating with RedShift, S3 and EMR

This Kinesis course teaches the basics of the AWS Kinesis distributed streaming service. The Kinesis distributed streaming service is one of the most powerful and widely used reliable streaming platforms. Kinesis is a fault tolerant, highly scalable and used for log aggregation, stream processing, real-time data analytics, real-time metrics & reporting and integrates nicely with Amazon EMR. With the rise of IoT, stream processing is becoming more important.

This course provides a technical introduction to all the conceptual and practical areas needed to use the Kinesis Streaming Service successfully, and deploy to production.

This course is written expressly for Developers who must develop and DevOps who must deploy. The course provides a solid foundation in the architecture ok Kinesis and how to work with it.

After taking this course, you will be ready to work with Kinesis in an informed and productive manner.

We provide more than just developer training. We provide the training to maximize your developer and DevOps expertise.

In this three to four day hands-on course, developers, and DevOps learn how to build applications that can publish data to and subscribe to data from, the Kinesis service. They learn about the setup and maintenance of the Kinesis service.

Why choose us and our Kinesis Course

We have successfully deployed the streaming solutions at large fortune 100s and very high traffic web properties. We have been there and done that and understand when and where streaming platforms makes sense and how to avoid common pitfalls.

Rest assured that the person teaching the course is a battle-hardened expert. Contact us to book onsite training today. Call to book 1-415-758-1113.


”(The instructor) taught an onsite course at our office…. I highly recommend (the instructor). The training was thorough, and the examples were non-trivial. … He was ready with answers to the most detailed of questions.” –Jack

“He’s an engaging instructor who is genuinely interested in his client’s results. He did a great job customizing our course content to meet our exact needs. A few months earlier we had another vendor teach a similar course without nearly the same positive results. “ –John

”(The instructor) knowledge of … technologies is both deep and wide. His training and mentoring skills are the best that I’ve come across. His passion and proficiency has been inspiring for me and many others in the development community.” –Tom

(The instructor) delivered what was hands-down the best technical training I’ve ever received. He also played a key role on a large project, and it was always a great pleasure to work with him. –Aaron

Being a consultant as well as an teacher, he speaks from experience and possesses a deep knowledge of his subject areas. Highly recommended. –Thomas

Kinesis Course Information

Duration: 3 to 4 days

Labs: Minimum 50% hands-on labs


Reasonable Java experience some knowledge of asynchronous programming.

Skills Gained:

  • Understand the motivation for using a streaming service like Kinesis
  • Understand Kinesis at a high-level
  • Understand Kinesis Firehose at a high-level
  • Basic setup of Kinesis
  • Understand the Kinesis architecture
  • Understand how to setup Kinesis for fail-over and disaster recovery
  • Understand the use cases for Kinesis
  • Ability to compare Kinesis to SQS, SNS and Kafka
  • Ability to use Kinesis for real-time data analysis
  • Understand the role of Kinesis Firehose
  • Understand how Kinesis and EMR integrate
  • Understand how Kinesis and RedShift integrate
  • Ability to create producers and consumers using the Kinesis APIs
  • Ability to send data via files with the Kinesis agent

Kinesis Course Outline:

  • Kinesis Introduction
  • Kinesis Setup
  • Kinesis Architecture, Use Cases and Best Practices
  • Working with the Kinesis CLI
  • Setting up IAM for Kinesis
  • Working with DataRecords, Streams, Partitions Keys and Shards
  • Setting up a stream
  • Writing Producers using API
  • Writing Consumers using API
  • Handling streams and integration
  • Working with KPL
  • Working with KCL
  • Using Kinesis Agent
  • Best practices
  • Avoiding common pitfalls
  • Monitoring Kinesis with CloudWatch
  • Kinesis Firehose Introduction
  • Kinesis integration with EMR/Hadoop/Hive
  • Brief introduction to EMR/Hive and Hadoop
  • Kinesis integration with S3
  • Brief introduction to RedShift
  • Kinesis integration with RedShift

We can customize the course for your team. We can combine parts of this course with others.

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Contact us

For more details on the subscription support or pricing please contact us or call ((415) 758-1113) or write