10 hands-on data engineering projects: Provides practical experience in real-world scenarios
Step-by-step problem-solving approach: Guides readers through the entire data engineering process
Focus on open source tools: Equips data engineers with Apache Spark, Flink, Kafka, and more
Common challenge troubleshooting: Offers practical advice for resolving issues in data engineering projects
Best practices for robust solutions: Teaches effective strategies for efficient and reliable data engineering
Summarized by Shop
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 es