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Data Ingestion with Kafka and Kafka Streaming

Elevate your career with our comprehensive online Kafka data streaming and data ingestion course. Learn Kafka and develop proficiency in real-time analytics.

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

Basic descriptive statistics

You will also need to be able to communicate fluently and professionally in written and spoken English.

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Bootcamp level quality

Complete hands-on projects and get personalized feedback with Udacity.

What's inside

Syllabus

In this lesson students will learn what data streaming is. Students will learn the pros and cons of data streaming, and how it compares to traditional data strategies.

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Taught by Ben Goldberg, who is a professional in the technology industry

Taught through Udacity, which is an online learning platform recognized for its technology courses

Examines data streaming, which is highly relevant to the IT industry

Develops proficiency in real-time analytics, which is a valuable skill for data analysts

Provides hands-on labs and interactive materials for a practical learning experience

Requires prerequisite knowledge in basic descriptive statistics, which may limit accessibility for some learners

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Reviews summary

Practical kafka data streaming for professionals

According to students, this course offers a solid foundation in Kafka data streaming and real-time analytics, proving highly relevant for working professionals. Learners particularly commend the hands-on projects and the practical application of key concepts such as Kafka Connect, Apache Avro, and KSQL. While the course is widely praised for its clear explanations and comprehensive coverage of the Kafka ecosystem, some reviewers suggest that a stronger technical background than the stated prerequisites might be beneficial for tackling more complex sections. The included real-time transit project is frequently highlighted as an effective and engaging practical exercise.

Complex Kafka topics are explained clearly and effectively.

"The instructor made complex topics easy to understand and follow."

"I really appreciated the clear and concise way Kafka concepts were presented."

"Lectures were well-structured, helping me grasp advanced concepts without feeling overwhelmed."

"The explanations are incredibly lucid, allowing me to build a strong mental model of Kafka's workings."

Thoroughly covers essential Kafka ecosystem components.

"The coverage of Apache Avro and schema management was thorough and crucial for production systems."

"I found the sections on Faust and KSQL particularly useful, providing a broad understanding of the ecosystem."

"It's a complete package for understanding Kafka, from architecture to building stream processing applications."

"The course introduces you to all the essential tools within the Kafka ecosystem you'd use in a professional setting."

Strong emphasis on practical application and projects.

"The hands-on coding and projects are the strongest part of the course for me, especially with Kafka Connect and KSQL."

"I appreciated the real-time project which really tied everything together and solidified my understanding."

"This course provided valuable practical experience, allowing me to build real-world applications with Kafka."

"It's great to have a course that focuses on practical aspects rather than just theory, making it applicable to my job."

Some reports of outdated software leading to compatibility issues.

"I encountered frustrating compatibility issues due to outdated software versions in some labs."

"The environment setup required more troubleshooting than expected because of version mismatches."

"It would be beneficial if the course materials were consistently updated to the latest Kafka versions."

"I spent considerable time debugging my setup due to discrepancies between course instructions and current software."

Some learners felt prior knowledge beyond basic stats was needed.

"While the course is great, you really need more than just 'basic descriptive statistics' to fully grasp everything."

"I struggled with some of the coding parts, suggesting a stronger programming background would be beneficial."

"It might be challenging for absolute beginners in programming or data engineering; more advanced topics assume prior knowledge."

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 Data Ingestion with Kafka and Kafka Streaming with these activities:

Review data streaming and stream processing

Show steps

Review the basics of data streaming and stream processing to ensure you have a solid foundation for this course.

Browse courses on Data Streaming

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Review the concepts of data streaming and real-time analytics.
Explore the different types of stream processing applications.
Familiarize yourself with the Apache Kafka ecosystem.

Review Kafka: The Definitive Guide

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Review Kafka: The Definitive Guide to gain a comprehensive understanding of the Kafka ecosystem.

View Kafka: The Definitive Guide: Real-Time Data and... on Amazon

Show steps

Read the book and take notes.
Work through the exercises in the book.
Discuss the book with other learners in a study group or online forum.

Practice writing Kafka producers and consumers

Show steps

Practice writing Kafka producers and consumers to gain hands-on experience with the Kafka ecosystem.

Browse courses on Kafka Producers

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Create a Kafka producer to send messages to a topic.
Create a Kafka consumer to receive messages from a topic.
Use Apache Avro to define the schema of your messages.
Use Kafka Connect to connect Kafka to other systems.

One other activity

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Show all four activities

Build a stream processing application with Kafka

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Build a stream processing application with Kafka to apply your knowledge and skills to a real-world project.

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Design the architecture of your stream processing application.
Implement your application using Kafka Streams or Faust.
Test and deploy your application.

Career center

Learners who complete Data Ingestion with Kafka and Kafka Streaming will develop knowledge and skills that may be useful to these careers:

Data Science Manager

A Data Science Manager leads a team of data scientists and data engineers. This course may be useful to a Data Science Manager who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Science Manager

Data Analyst

A Data Analyst collects, analyzes, interprets, and presents data to help organizations make informed decisions. This course may be useful to a Data Analyst who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist is a professional who uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful to a Data Scientist who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Scientist

Big Data Engineer

A Big Data Engineer designs, builds, maintains, and manages big data systems that can handle large volumes of data. This course may be useful to a Big Data Engineer who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Big Data Engineer

Machine Learning Engineer

A Machine Learning Engineer develops, deploys, and maintains machine learning models. This course may be useful to a Machine Learning Engineer who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines that move data between data sources and data destinations. This course may be useful to a Data Engineer who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Engineer

Cloud Architect

A Cloud Architect designs and manages cloud computing systems. This course may be useful to a Cloud Architect who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

A DevOps Engineer automates and manages the software development lifecycle. This course may be useful to a DevOps Engineer who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for DevOps Engineer

Business Analyst

A Business Analyst analyzes business processes and develops solutions to improve efficiency and effectiveness. This course may be useful to a Business Analyst who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager is responsible for the development and execution of product strategy. This course may be useful to a Product Manager who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Product Manager

Data Integration Engineer

A Data Integration Engineer designs and builds data integration systems. This course may be useful to a Data Integration Engineer who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Integration Engineer

Data Governance Analyst

A Data Governance Analyst ensures that data is used in a consistent and ethical manner. This course may be useful to a Data Governance Analyst who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Governance Analyst

Data Quality Analyst

A Data Quality Analyst ensures that data is accurate, complete, and consistent. This course may be useful to a Data Quality Analyst who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Quality Analyst

Data Scientist - Data Engineering

A Data Scientist - Data Engineering designs and builds data pipelines and machine learning models. This course may be useful to a Data Scientist - Data Engineering who wishes to enter the subfield of data streaming or advance their career in this field. This course covers topics such as data streaming, Apache Kafka architecture and configuration, data schemas and data schema management, producing and consuming data into Kafka with Kafka Connect and REST Proxy, and real-time applications that instantly process events.

See salaries and explore the career path for Data Scientist - Data Engineering

Software Engineer

A Software Engineer is a computing professional who designs, develops, maintains, and tests software systems. This course may be useful to a Software Engineer who wishes to enter the subfield of data streaming or advance their career in this field. This course teaches the architecture and configuration of Apache Kafka, as well as data schemas and data schema management with a focus on Apache Avro.

See salaries and explore the career path for Software Engineer

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 Data Ingestion with Kafka and Kafka Streaming.

Semantic Software Design

Save

Shows how to use Kafka and Spark together to build real-time data pipelines. It covers everything from data ingestion to stream processing to data visualization. It valuable resource for anyone who wants to build real-time data pipelines using Kafka and Spark.

Semantic Software Design: A New Theory and...

Paperback

(中文) OReilly: Semantic Software Design(Chinese Edition)

Paperback

Semantic Software Design: A New Theory and...

Kindle Edition