The future of IBM Maximo: Work Centers and Inspections Can Transform Your Business

closeClose

Confluent Developer Skills for Building Apache Kafka

  • Tuition USD $2,475
  • Reviews star_rate star_rate star_rate star_rate star_half 482 Ratings
  • Course Code AK-DEV
  • Duration 3 days
  • Available Formats Classroom, Virtual

In this three-day, hands-on Developer training course, you will learn how to build an application that can publish data to, and subscribe to data from, an Apache Kafka® cluster. You will learn the role of Kafka in the modern data distribution pipeline, Kafka architectural concepts and components, and review Kafka developer APIs.

Skills Gained

In this hands-on course, you will:

  • Write Producers and Consumers to send data to and read data from Kafka
  • Integrate Kafka with external systems using Kafka Connect
  • Write streaming applications with Kafka Streams & ksqlDB
  • Integrate a Kafka client application with Confluent Cloud

Who Can Benefit

Application developers and architects who want to write applications that interact with Apache Kafka®. The course treats Java as a first-class citizen, but students will derive value even if Java is not their primary programming language. Python, C# and NodeJS clients will also be used.

Prerequisites

Attendees should be familiar with developing professional apps in Java (preferred), C#, or Python. Additionally, a working knowledge of the Apache Kafka architecture is required for this course, either through:

Course Details

Hands-on Training:

The hands-on lab exercises in the course follow the coherent story of building and upgrading a driver location app. This gives a throughline throughout the course where concepts are applied directly to a working application. Exercises are available in Java, C# and Python.

Exercises include:

  • Working with Kafka command line tools
  • Producing driver location data to Kafka and consuming that data in real-time
  • Refactoring the application to use Avro and Schema Registry
  • Creating a Kafka Streams application to do real-time distance aggregation
  • Extracting a table from an external database into Kafka using Kafka Connect
  • Creating a full event streaming application using kslqDB that enriches driver location data with driver profile data
  • Experimenting with semantic partitioning

Course Outline

Fundamentals of Apache Kafka

  • Explain the value of a *Distributed Event Streaming Platform*
  • Explain how the “log” abstraction enables a distributed event streaming platform
  • Brokers, Topics, Partitions, and Segments
  • Records (a.k.a. Messages, Events)
  • Retention Policies
  • Producers, Consumers, and Serialization
  • Replication
  • Kafka Connect

Producing Messages to Kafka

  • Sketch the high level architecture of a Kafka producer
  • Illustrate key-based partitioning
  • Explain the difference between `acks=0`, `acks=1`, and `acks=all`
  • Configure `delivery.timeout.ms` to control retry behavior
  • Create a custom `producer.properties` file
  • Tune throughput and latency using batching
  • Create a producer with Confluent REST Proxy

Consuming Messages from Kafka

  • Illustrate how consumer groups and partitions provide scalability and fault tolerance
  • Tune consumers to avoid excessive rebalances
  • Explain the difference between “range” and “round robin” partition assignment strategies
  • Create a custom `consumer.properties` file
  • Use the Consumer API to manage offsets
  • Tune fetch requests
  • Create a consumer with Confluent REST Proxy

Schema Management in Apache Kafka

  • Explain what Avro is
  • Write Avro messages to Kafka
  • Use the Confluent Schema Registry to guide schema evolution

Stream Processing with Kafka Streams

  • Compare KStreams to KTables
  • Create a Custom `streams.properties` file
  • Explain what co-partitioning is and why it is important
  • Write an application using the Streams DSL (Domain-Specific Language)

Data Pipelines with Kafka Connect

  • Explain the motivation for Kafka Connect
  • List commonly used Connectors
  • Explain the differences between standalone and distributed mode
  • Configure and use Kafka Connect

Stream Processing with Kafka Streams

  • Compare KStreams to KTables
  • Create a Custom `streams.properties` file
  • Explain what co-partitioning is and why it is important
  • Write an application using the Streams DSL (Domain-Specific Language)

Data Pipelines with Kafka Connect

  • Explain the motivation for Kafka Connect
  • List commonly used Connectors
  • Explain the differences between standalone and distributed mode
  • Configure and use Kafka Connect

Event Streaming Apps with ksqlDB

  • Use ksqlDB to filter and transform a stream
  • Write a ksqlDB query that joins two streams or a stream and a table
  • Write a ksqlDB query that aggregates values per key and time window
  • Write Push and Pull queries and explain the differences between them
  • Create a Connector with ksqlDB

Design Decisions

  • List ways to avoid large message sizes
  • Decide when to use ksqlDB vs. Kafka Streams vs. Kafka Connect SMTs
  • Explain differences and tradeoffs between processing guarantees
  • Address decisions that arise from key-based partitioning
  • Authenticate a client app with a secure Kafka cluster

Confluent Cloud

  • Explain what “fully-managed” means in the context of Confluent Cloud
  • Authenticate a Kafka client to Confluent Cloud
  • Do basic operations with the `ccloud` CLI

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Great personnel and facility. I just should have been told i was the only person physically in thr class, and that there was an option to attend the class remotely.

Great instruction on AWS DevOps, even added more to the presentation for better understanding. The teacher was well informed and technically savvy to assist students on the fly through hiccups.

The presenter was knowledgeable and professional. The duration of the course, the pace and venue was suitable also

This was my second course through ExitCertified, and it continues to be a great way to learn and advance my career!

The software installation instructions needs to be more clear. We spent a lot time on installing and setting up the environment.

3 options available

undo
  • Oct 19, 2020 Oct 21, 2020 (3 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM PDT
    Enroll
    Enroll
  • Nov 17, 2020 Nov 19, 2020 (3 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM EST
    Enroll
    Enroll
  • Dec 15, 2020 Dec 17, 2020 (3 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM PST
    Enroll
    Enroll
Contact Us 1-800-803-3948
Contact Us Live Chat
FAQ Get immediate answers to our most frequently asked qestions. View FAQs arrow_forward