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A Cloud Guru

Apache Kafka is a publish/subscribe messaging system with many advanced configurations. This course takes you through all those configurations and more, allowing you to discover brokers, consumers, producers, and topics. You will be able to build your own Kafka cluster using Linux Academy servers, which will help your understanding and provide you with real-world examples. Unleash the power of Apache Kafka within this course and discover this world of distributed messaging systems! Access the interactive diagram for this course: https://interactive.linuxacademy.com/diagrams/ApacheKafkaDD.html

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Provides a comprehensive understanding of Apache Kafka, its configurations, and applications
Interactive diagram enhances understanding of Kafka concepts
Hands-on practice by building a Kafka cluster on Linux Academy servers
Taught by A Cloud Guru instructors, renowned for their expertise in cloud computing
Course structure aligns well with industry-standard Kafka configurations
May require prior knowledge of distributed messaging systems

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Apache Kafka Deep Dive with these activities:
Review Asynchronous Programming Concepts
Reviewing asynchronous programming concepts will strengthen your foundational understanding of how Kafka works internally and how to build scalable applications using Kafka.
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Show steps
  • Re-familiarize yourself with concepts like concurrency, parallelism, and event-driven programming.
  • Refresh your knowledge of common asynchronous programming patterns, such as callbacks, promises, and async/await.
  • Practice writing simple asynchronous code snippets in your preferred programming language.
Practice setting up Apache Kafka Clusters
Practice wiring together various Apache Kafka cluster related components including ZooKeeper, brokers, producers and consumers. This provides a hands-on opportunity to apply the concepts learned in the course.
Show steps
  • Install Apache Kafka, ZooKeeper and necessary dependencies.
  • Start ZooKeeper ensemble.
  • Start Kafka brokers and create topics.
  • Create producers and consumers to interact with the cluster. Monitor messages being published and consumed.
Peer Discussion: Apache Kafka Partitioning Strategies
Join or organize a peer discussion session to explore Apache Kafka's partitioning strategies. This enables optimizing data distribution and improving performance.
Browse courses on Apache Kafka
Show steps
  • Prepare by researching Apache Kafka partitioning.
  • Participate in the discussion and share insights. Discuss various partitioning strategies, their pros and cons, and use cases.
  • Document key takeaways and apply the knowledge in your own Kafka projects.
Four other activities
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Develop a Presentation on Kafka Message Compression Techniques
Creating a presentation on Kafka message compression techniques allows you to delve into optimizing data storage and transmission. This enhances your understanding and ability to design efficient Kafka systems.
Browse courses on Apache Kafka
Show steps
  • Research different message compression techniques supported by Kafka.
  • Design presentation slides explaining each technique, its advantages, and disadvantages.
  • Incorporate real-world examples to demonstrate the impact of compression on Kafka performance.
  • Practice presenting the content and gather feedback.
Tutorial: Configure Apache Kafka with SSL/TLS
Follow a detailed tutorial to configure SSL/TLS security for an Apache Kafka cluster. This strengthens security and privacy of data in transit.
Browse courses on Apache Kafka
Show steps
  • Set up Public Key Infrastructure (PKI) for SSL certificates.
  • Configure Kafka brokers to use SSL/TLS for encryption.
  • Configure producers and consumers to use SSL/TLS for authentication and encryption.
  • Test the SSL/TLS configuration by sending and receiving messages securely.
Attend a Workshop on Apache Kafka Monitoring and Management
Participate in a workshop dedicated to monitoring and managing Apache Kafka clusters. This provides expert-led guidance and practical experience in maintaining a healthy and scalable Kafka environment.
Show steps
  • Register for a workshop on Apache Kafka monitoring and management.
  • Attend the workshop and actively participate in discussions and exercises.
  • Learn about best practices for Kafka monitoring, including metrics, dashboards, and alerting.
  • Practice troubleshooting common Kafka issues and performance optimizations.
  • Obtain a certificate or documentation of participation as proof of attendance.
Contribute to an Open-Source Kafka Library
Contributing to an open-source Kafka library provides hands-on experience and allows you to engage with the Kafka developer community. This deepens your understanding of Kafka internals and modern software development practices.
Browse courses on Apache Kafka
Show steps
  • Identify an open-source Kafka library and its active community.
  • Review the project's documentation and contribute a bug fix or feature enhancement.
  • Create a pull request and engage with maintainers to refine your contribution.
  • Get your contribution merged and see your code in action.

Career center

Learners who complete Apache Kafka Deep Dive will develop knowledge and skills that may be useful to these careers:
Kafka Administrator
A Kafka Administrator is responsible for the day-to-day operation and maintenance of Kafka clusters. This course will be useful in providing a comprehensive understanding of how to manage and troubleshoot Kafka clusters. By understanding the internals of Kafka, a Kafka Administrator can ensure that their Kafka clusters are running smoothly and efficiently.
Kafka Developer
A Kafka Developer is responsible for developing applications that use Kafka. This course will be useful in providing a practical understanding of how to use Kafka in real-world applications. By learning how to build and deploy Kafka applications, a Kafka Developer can create applications that can handle large volumes of data in real-time.
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. This course will be useful in providing foundational knowledge for the design and implementation of Kafka clusters in the cloud. By understanding how to deploy Kafka on Linux servers, a Cloud Engineer can build and operate reliable and scalable systems.
Software Developer
A Software Developer is responsible for the design, development, and implementation of software applications. This course may be useful in providing an understanding of how Kafka can be used in software applications. By learning how to build and deploy Kafka applications, a Software Developer can create applications that can handle large volumes of data in real-time.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. This course may be useful for understanding how to integrate Kafka into data pipelines. This will allow a Data Engineer to build a more efficient and scalable data infrastructure.
Full-Stack Developer
A Full Stack Developer is responsible for all aspects of developing software applications, from the front-end user interface to the back-end database. This course may be useful in helping a Full Stack Developer to understand how to use Kafka to build scalable and reliable applications. By understanding how to integrate Kafka into their applications, Full Stack Developers can create applications that can handle large volumes of data in real-time.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to uncover insights and trends. This course may be useful in helping a Data Analyst to understand how to use Kafka to build and manage data pipelines. With this knowledge, Data Analysts can access real-time data and make more informed decisions.
Big Data Architect
A Big Data Architect is responsible for the management of large and diverse data sets. This course may be useful as it discusses building a Kafka cluster, which is a common technology for distributed messaging systems. With growing areas of concern around the viability of data and data collection, a Big Data Architect can use this knowledge to make better, data-informed decisions.
Data Scientist
A Data Scientist uses data to build predictive models and solve complex problems. This course may be useful as it provides a foundation for understanding how Kafka can be used to manage and analyze data. Data Scientists can use this knowledge to build more accurate and reliable models.
Software Architect
A Software Architect designs and implements the architecture of software applications. This course may be useful in providing an understanding of how Kafka can be integrated into the architecture of software applications. By understanding the benefits and challenges of Kafka, a Software Architect can make better decisions about how to use Kafka in their applications.
Systems Engineer
A Systems Engineer is responsible for the design, implementation, and maintenance of computer systems. This course may be useful in providing an understanding of how Kafka can be used in computer systems. By understanding the benefits and challenges of Kafka, a Systems Engineer can make better decisions about how to use Kafka in their systems.
Enterprise Architect
An Enterprise Architect designs and implements IT systems and infrastructure for organizations. This course may be useful in providing an understanding of how Kafka can be integrated into an organization's IT infrastructure. By understanding the capabilities and limitations of Kafka, an Enterprise Architect can make better decisions about how to design and implement IT systems.
IT Manager
An IT Manager is responsible for the planning, implementation, and maintenance of IT systems and infrastructure. This course may be useful in providing an understanding of how Kafka can be used to build and manage IT systems. By understanding the benefits and challenges of Kafka, an IT Manager can make better decisions about how to use Kafka in their organization.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This course may be useful in providing knowledge about how to build and manage Kafka clusters. By understanding the infrastructure and operations of Kafka, a DevOps Engineer can help improve the efficiency and reliability of software delivery.
IT Project Manager
An IT Project Manager is responsible for planning, executing, and delivering IT projects. This course may be useful in providing an understanding of how Kafka can be used in IT projects. By understanding the capabilities and limitations of Kafka, an IT Project Manager can make better decisions about how to use Kafka in their projects.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Apache Kafka Deep Dive.
Provides a comprehensive overview of Apache Kafka, covering its architecture, components, and use cases. It valuable resource for anyone who wants to learn more about Kafka and how to use it effectively.
Practical guide to building real-time data pipelines with Apache Kafka. It covers everything from data ingestion to data processing to data visualization. It good choice for data engineers and architects who want to learn how to build scalable, fault-tolerant data pipelines with Apache Kafka.
Practical guide to Apache Kafka, with a focus on operationalizing Kafka in production environments. It good choice for system administrators and DevOps engineers who want to learn how to manage and maintain Kafka clusters.
Comprehensive guide to Apache Kafka, written by one of its original creators. It covers everything you need to know to get started with Kafka, from its architecture and key concepts to its configuration, administration, and monitoring.
Beginner-friendly guide to Apache Kafka, written by an experienced Kafka user. It covers everything you need to know to get started with Kafka, from its architecture and key concepts to its installation and configuration.

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