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Bogdan Sucaciu

This course will teach you how to handle different scenarios that are commonly encountered when using a streaming platform inside your organization.

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This course will teach you how to handle different scenarios that are commonly encountered when using a streaming platform inside your organization.

There are a lot of common scenarios that occur when using a streaming platform inside an organization. In this course, Handling Streaming Data with a Kafka Cluster, you’ll learn to handle a variety of different scenarios you may encounter. First, you’ll explore why Kafka makes such a great solution for handling streaming data while exploring different options in terms of optimizations and integrations with other models. Next, you’ll discover how to manage your data and perform various operations against your Kafka Cluster. Finally, you’ll learn how to secure the data streams by applying different techniques. When you’re finished with this course, you’ll have the skills and knowledge of handling streaming data with Apache Kafka needed to build and manage streaming pipelines in your organization.

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What's inside

Syllabus

Course Overview
Experiencing Kafka as a Streaming Platform
Producing Data to Kafka
Consuming Data from Kafka
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Managing Data Streams
Transforming Non-streaming Models

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers popular frameworks and concepts, such as Apache Kafka, that are used in handling streaming data
Suitable for beginners interested in getting started with handling streaming data using Apache Kafka
Provides hands-on labs and interactive materials, allowing learners to practice and reinforce their understanding
Course instructor, Bogdan Sucaciu, has extensive experience in the field of data engineering, including Apache Kafka
Covers a range of topics related to handling streaming data, including data management, stream transformation, and data security

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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 Handling Streaming Data with a Kafka Cluster with these activities:
Review Kafka Terminology
Review key concepts and terms related to Kafka to strengthen foundational knowledge.
Browse courses on Apache Kafka
Show steps
  • Define terms such as Kafka cluster, topic, and partition.
  • Explain the concepts of producers, consumers, and brokers.
  • Describe the different types of Kafka messages, such as key-value pairs and timestamps.
Read 'Kafka: The Definitive Guide'
Gain a comprehensive understanding of Kafka's architecture, components, and best practices.
Show steps
  • Read chapters 1-3 to understand Kafka's core concepts and architecture.
  • Focus on chapters 4-6 to learn about Kafka's configuration and deployment.
  • Review chapters 7-9 to gain insights into Kafka's security and monitoring.
Organize Course Notes and Quizzes
Consolidate your learning materials to enhance retention and preparation.
Show steps
  • Review and summarize key concepts from each class.
  • Compile notes and quizzes into a central location.
  • Highlight important sections and make annotations.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a Simple Kafka Producer
Practice writing a Kafka producer to apply your understanding of data production.
Show steps
  • Set up a Kafka cluster locally using Docker or Confluent Platform.
  • Create a Java or Python producer application.
  • Configure the producer with necessary properties.
  • Send messages to a specific Kafka topic.
Follow Kafka Tutorials on Confluent Developer
Explore interactive tutorials to reinforce your understanding of Kafka concepts and usage.
Show steps
  • Visit the Confluent Developer website.
  • Choose a tutorial relevant to your skill level.
  • Follow the step-by-step instructions to complete the tutorial.
Participate in Kafka Community Forums
Engage with the Kafka community, share your knowledge, and assist others to reinforce your understanding.
Show steps
  • Join the Kafka community on LinkedIn or Stack Overflow.
  • Answer questions and provide support to other Kafka users.
  • Contribute to discussions and share your experiences.
Develop a Kafka Data Ingestion Pipeline
Build a practical data ingestion pipeline using Kafka to solidify your knowledge and skills.
Show steps
  • Define the data source and schema.
  • Create a Kafka topic to receive data.
  • Develop a data producer to stream data into Kafka.
  • Build a data consumer to process and analyze the incoming data.
Contribute to the Kafka Project
Immerse yourself in the Kafka codebase and contribute directly to its development.
Show steps
  • Familiarize yourself with the Kafka repository on GitHub.
  • Identify a feature or bug to work on.
  • Create a pull request with your proposed changes.
  • Work with the Kafka community to review and improve your contribution.

Career center

Learners who complete Handling Streaming Data with a Kafka Cluster will develop knowledge and skills that may be useful to these careers:
Data Engineer
As a Data Engineer, you will build and maintain data pipelines that are used to process large datasets. Kafka is a popular tool for building these pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will be essential for success in this role.
Data Scientist
As a Data Scientist, you will use data to solve business problems. Kafka is a powerful tool for collecting and analyzing data, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build better models and make more accurate predictions.
Cloud Architect
As a Cloud Architect, you will design and build cloud-based solutions for businesses. Kafka is a popular tool for building distributed systems in the cloud, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build more scalable and reliable cloud solutions.
Software Engineer
As a Software Engineer, you will design, develop, and maintain software applications. Kafka is a popular tool for building distributed systems, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build more scalable and reliable applications.
DevOps Engineer
As a DevOps Engineer, you will be responsible for building and maintaining the infrastructure that supports software applications. Kafka is a popular tool for building distributed systems, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build more scalable and reliable infrastructure.
Data Analyst
As a Data Analyst, you will collect, clean, and analyze data to help businesses make better decisions. Kafka is a popular tool for collecting and analyzing data, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build better models and make more accurate predictions.
Machine Learning Engineer
As a Machine Learning Engineer, you will build and maintain machine learning models. Kafka is a popular tool for collecting and analyzing data, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build better models and make more accurate predictions.
Project Manager
As a Project Manager, you will be responsible for planning and executing projects. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you plan and execute more successful projects.
Business Analyst
As a Business Analyst, you will work with businesses to understand their needs and develop solutions that meet those needs. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build better solutions for businesses.
Product Manager
As a Product Manager, you will be responsible for the development and launch of new products. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you build better products for your customers.
Quality Assurance Analyst
As a Quality Assurance Analyst, you will test software products to ensure that they meet quality standards. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you test software products more effectively and ensure that they meet quality standards.
Technical Writer
As a Technical Writer, you will write documentation for software products. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you write better documentation for your products.
Database Administrator
As a Database Administrator, you will be responsible for the management of databases. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you manage databases more effectively and ensure that they are reliable and performant.
Systems Administrator
As a Systems Administrator, you will be responsible for the management of computer systems. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you manage computer systems more effectively and ensure that they are reliable and performant.
Network Administrator
As a Network Administrator, you will be responsible for the management of computer networks. Kafka is a popular tool for building data pipelines, and this course will teach you how to use it effectively. You will learn how to produce data to Kafka, consume data from Kafka, and manage data streams. This knowledge will help you manage computer networks more effectively and ensure that they are reliable and performant.

Reading list

We've selected six 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 Handling Streaming Data with a Kafka Cluster.
Provides a comprehensive overview of Kafka, its architecture, and how to use it effectively. It valuable resource for anyone who wants to learn more about Kafka or use it in their own projects.
Provides a comprehensive guide to using Apache Flink for stream processing. It covers everything from developing and deploying Flink applications to monitoring and troubleshooting them.
Provides a comprehensive overview of Apache Kafka, covering its architecture, components, and use cases. It valuable resource for anyone looking to learn more about Kafka and how to use it effectively.
Provides a comprehensive overview of streaming data architectures, covering topics such as data streaming, stream processing, and real-time analytics. It valuable resource for anyone looking to learn more about how to design and build streaming data pipelines.
Provides a comprehensive overview of data mesh architecture. It valuable resource for anyone who wants to learn more about how to design and implement a data mesh in their organization.
Provides a beginner-friendly guide to Apache Kafka. It covers a wide range of topics, including data ingestion, processing, and storage. It valuable resource for anyone who wants to learn more about Apache Kafka.

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