A Comprehensive and Brand New Course for Learning Apache Kafka Connect Framework with Hands-on Training – (Launched in April 2017)
Kafka Connect is a tool for scalable and reliable streaming data between Apache Kafka and other data systems. Apache Kafka Connect is a common framework for Kafka producers and consumers.
Kafka Connect offers an API, Runtime, and REST Service to enable developers to define connectors that move large data sets into and out of Kafka in real time. It inherits strong concepts such as fault-tolerance and elasticity thanks to being an extension of Kafka. Kafka Connect can ingest entire databases, collect metrics, gather logs from all your application servers into Kafka topics, making the data available for stream processing with low latency.
Kafka Connect standardises integration of other data systems with Kafka, simplifying connector development, deployment, and management.
In this course, we are going to learn the Kafka Connector deployment, configuration and management with hands-on exercises. We are also going to see the distributed and standalone modes to scale up to a large, centrally managed service supporting an entire organisation or scale down to development, testing, and small production deployments. The REST interface to submit and manage connectors to your Kafka Connect cluster via an easy to use REST API’s.
Students Loved this course – Students have rated the course with 5 stars...!!
Tin Pavlinic says “This course is an excellent resource for those getting started with Kafka-Connect. Stephane explains concepts very clearly and provides plenty of practical examples. The setup is easy. You can follow the examples along on your own machine, and then experiment further. I highly recommend this course.” (5 stars)
Alan V says "This course is GREAT: 1. The teacher provides clear explanations of the role to Kafka Connector in Kafka Streaming Solution architecture. 2. The course uses docker-compose.yml to help learners quick build a practice environment. 3. The course is well organized and easy to understand the idea, behind Kafka Connector. The teacher guides you how to use the tool step by step. 4. The provided shell commands are all well commented and steps by steps to guide users. If you read the comments in the shell script files after the course, it will remind you what the teacher just taught in the videos. 5. The teacher is very responsible to learners' questions and very helpful. If you are a professional developer, I highly recommend you to attend this course." (5 stars)
Sagar Joshi says "It was very engaging and interesting course. I recommend taking this course. Stephan have provided all the required details and its really a hands-on training course. Thank you..!!" (5 stars)
Why I should take this course?
Overview of the Course Contents -
Section 1 – Course Introduction: In this section, we are going to see the required pre-requisites for this course and for Apache Kafka Connect. We are also going to talk about the objectives and the structure of the course.
Section 2 - Apache Kafka Connect Concepts: In this section, we will learn about what is Kafka Connect, Kafka Connect architecture, we will talk about Connectors, Configuration, Tasks, Workers. We are also going to learn the difference between the standalone vs distributed mode of the Kafka Connect.
Section 3 – Setup and Launch Kafka Connect Cluster: In this sections, we will learn how to install Docker on your machine and get started with Apache Kafka Connect in the simplest way possible using Docker Compose.
Section 4 – Apache Kafka Connect Data Source – Hands-on: In this section, we will gain some practical experience on Kafka Connect Data Source. We will learn the Kafka Connect Data Source architecture and the list of available connectors. We will have some hands-on practice and learning on File Stream Source Connector both standalone and distributed, and on Twitter Source Connectors…!!!
Section 5 - Apache Kafka Connect Data Sink – Hands-on: In this section, we will gain some practical experience on Kafka Connect Data Sink. We will learn the Kafka Connect Data Sink architecture, Kafka Connect REST API’s and we will have some hands-on practice and learning on Elastic Search Sink Connector and on JDBC Sink Connectors…!!!
Section 6 – Next Steps: In this section, we are going to conclude the course and going to see what is next step you can follow.
You have lifetime access to the course and 30 days’ money back guarantee, so what are you thinking? Click on “Enroll Now” button now and see you inside the course…!!!
Learn about the course objectives:
- Learn about Kafka Connect concepts
- Install Docker and launch our Kafka cluster and Kafka Connect Cluster
- Deploy your first Source connectors
- Deploy your first Sink connectors
Understand what is Kafka Connect, the problems it solves in the Kafka world
Learn about the typical Kafka Connect Architecture in your enterprise
Deeper dive into Kafka Connect concepts, learn about Connectors, Configurations, Tasks and Workers
Learn about the two modes to launch Kafka Connect, Standalone mode and Distributed Mode, and their pros and cons
Install Docker on the more recent Mac versions
Install Docker Toolbox on the less recent Mac versions
Install Docker on Linux
Install Docker on Windows 10 64bit
Install Docker Toolbox on the other Windows versions
Note for Docker Toolbox users
Instructions to start our Kafka connect cluster using the Docker installation we have just created
Steps to troubleshoot an error
Where to view the Kafka Connect logs
How to ask a question in the Q&A
Looking at the Connect Source Architecture design that we will go over in this section
Running our first source connector in standalone mode!
This goes over the setup of the worker and the setup of the standalone connector
Running our first source connector in standalone mode!
This goes over the deployment of that connector
Learn how to run our file source connector in distributed mode
Overview of the list of available connectors online, and the list of connectors available on our docker image
Look at the configuration for the Twitter Source Connector
Deploy and analyse the output of the Twitter Source Connector on our Kafka Connect Cluster
Summary of what we have learned for the Section on Kafka Connect Source Connectors
Architecture discussion for the sink connectors in distributed mode
Launching our first Sink Connector in Distributed mode, to put data into ElasticSearch
Learn about the Kafka Connect REST API, so you can speed up and automate your connector deployments and monitoring
Learn about the JDBC Sink Connector, that we will launch in distributed mode. The data will go directly into PostgreSQL
Overview of the Source Kafka Connector, the GitHubSourceConnector
Where to download the code
Description of the GitHub API
Using the Maven Archetype to create your source and sink connectors
Creating our first Config Definition and define all the parameters needed for our application
Analysis of the Source Connector Class
Writing our different schemas that will be used for keys and values
Creating the Plain Old Java Objects for our data
Writing the GitHub API HTTP Client
Learn what Source Partition and Source Offsets are used for
Source Tasks analysis
Learn how to use Maven to build and run our connector
Learn how to deploy the jars onto the Connect Cluster
Links to more resources available online to write your own connectors
Next steps in your learning of Kafka Connect
Check out my other courses and keep on learning! Coupons inside :)
Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to big data and analytics. He's also a best seller instructor on Udemy for his courses in Apache Kafka, Apache NiFi and AWS Lambda!
He loves Apache Kafka. He regularly contributes to the Apache Kafka project and wrote a guest blog post featured on the Confluent website, the company behind Apache Kafka.
He also is an AWS certified Solutions Architect, and has many years of experience with technologies such as Apache Kafka, Apache NiFi, Apache Spark, Hadoop, PostgreSQL, Tableau, Spotfire, Docker and Ansible amongst many others.
His favourite programming languages are Scala and Python, and he plans on learning Go soon.
During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!