This book is a comprehensive guide designed to equip you with the practical skills and
knowledge necessary to tackle real-world data challenges using Open Source solutions. Focusing
on 10 real-world data engineering projects it caters specifically to data engineers at the
early stages of their careers providing a strong foundation in essential open source tools and
techniques such as Apache Spark Flink Airflow Kafka and many more. Each chapter is
dedicated to a single project starting with a clear presentation of the problem it addresses.
You will then be guided through a step-by-step process to solve the problem leveraging
widely-used open-source data tools. This hands-on approach ensures that you not only understand
the theoretical aspects of data engineering but also gain valuable experience in applying these
concepts to real-world scenarios. At the end of each chapter the book delves into common
challenges that may arise during the implementation of the solution offering practical advice
on troubleshooting these issues effectively. Additionally the book highlights best practices
that data engineers should follow to ensure the robustness and efficiency of their solutions. A
major focus of the book is using open-source projects and tools to solve problems encountered
in data engineering. In summary this book is an indispensable resource for data engineers
looking to build a strong foundation in the field. By offering practical real-world projects
and emphasizing problem-solving and best practices it will prepare you to tackle the complex
data challenges encountered throughout your career. Whether you are an aspiring data engineer
or looking to enhance your existing skills this book provides the knowledge and tools you need
to succeed in the ever-evolving world of data engineering. You Will Learn: The
foundational concepts of data engineering and practical experience in solving real-world data
engineering problems How to proficiently use open-source data tools like Apache Kafka Flink
Spark Airflow and Trino 10 hands-on data engineering projects Troubleshoot common
challenges in data engineering projects Who is this book for : Early-career data
engineers and aspiring data engineers who are looking to build a strong foundation in the field
mid-career professionals looking to transition into data engineering roles and technology
enthusiasts interested in gaining insights into data engineering practices and tools.
