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Getting Started with Apache Kafka and Confluent Platform on Google Cloud

Getting Started with Apache Kafka and Confluent Platform on Google Cloud

Google BDL-APKAFCON

USD 39.60

Organizations around the world rely on Apache Kafka to integrate existing systems in real time and build a new class of event streaming applications that unlock new business opportunities. Google and Confluent are in a partnership to deliver the best event streaming service based on Apache Kafka and to build event driven applications and big data pipelines on Google Cloud Platform. In this Quest, you will first learn how to deploy and create a streaming data pipeline with Apache Kafka. You will then perform hand-on labs on the different functionalities of the Confluent Platform such as deploying and running Apache Kafka on GKE, building a Cloud Run Streaming Application with Apache Kafka on Anthos or developing a Streaming Microservices Application.

What you will learn

  • Run Apache Kafka on GKE
  • Build a Cloud Run streaming application with Apache Kafka on Anthos
  • Create a clickstream data analysis pipeline using ksqlDB
  • Develop a streaming microservices application

USD 39.60

Creating a Streaming Data Pipeline With Apache Kafka

Module 1

Creating a Streaming Data Pipeline With Apache Kafka

Creating a Streaming Data Pipeline With Apache Kafka

Google LIS-GOOGLE-2358
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days

In this lab, you create a streaming data pipeline with Kafka providing you a hands-on look at the Kafka Streams API. You will run a Java application that uses the Kafka Streams library by showcasing a simple end-to-end data pipeline powered by Apache Kafka®.

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Confluent: Running Apache Kafka on GKE

Module 2

Confluent: Running Apache Kafka on GKE

Confluent: Running Apache Kafka on GKE

Google LIS-GOOGLE-2353
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days

In this lab, you will set up an Apache Kafka® cluster within Google Kubernetes Engine and create streaming events.

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Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

Module 3

Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

Google LIS-GOOGLE-2379
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days

This lab will cover how to create a clickstream data analysis pipeline using ksqlDB. First, you will run multiple Docker containers and create source connectors that generate clickstream data, which you will be able to view in the Confluent Control Center UI. You will then load the data into ksqlDB, and verify that it is being streamed through various tables and streams. Next, you will send the ksqlDB tables to Elasticsearch and Grafana via the ksqlDB REST API. Lastly, you will view the streaming data in the Grafana dashboard.

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Confluent: Developing a Streaming Microservices Application

Module 4

Confluent: Developing a Streaming Microservices Application

Confluent: Developing a Streaming Microservices Application

Google LIS-GOOGLE-2378
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days

This lab is based on a small microservices ecosystem, showcasing an order management workflow, such as one might find in retail and online shopping. It is built using Kafka Streams, whereby business events that describe the order management workflow propagate through this ecosystem. The blog post Building a Microservices Ecosystem with Kafka Streams and ksqlDB outlines the approach used in the lab.

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Google
Institution
Google
The institution that is responsible for the courseware (and lab environment, if included) of this learning product.
E-learning Format
Google Cloud Self-Paced Labs
Language
English
Subscription duration
30 days
The time you will have access to the learning product once it has been activated.
Grace Period
30 days
Grace Period is the time between booking and automatic activation. After completing your order, you usually have 30 days until a product is automatically activated and the official subscription period begins.
Total effort
5 hours
The estimated total effort it will take you to complete the learning product.