AI-Driven Data Engineering: Tools, Techniques, and Best Practices for Next-Gen Data Pipelines

By May June

AI-Driven Data Engineering: Building Smarter Pipelines for the Modern Data Stack explores the cutting-edge intersection of artificial intelligence and data engineering, empowering readers to rethink how data is collected, processed, and delivered in today's fast-paced digital world. This book dives deep into how AI and machine learning are revolutionizing traditional data workflows--automating ETL processes, optimizing data quality, improving scalability, and enabling real-time analytics at scale. With practical insights and hands-on examples, readers will learn how to design intelligent data pipelines, leverage AI for anomaly detection and schema evolution, and integrate advanced tools like Apache Spark, Airflow, and cloud-native platforms. Perfect for data engineers, architects, and tech-savvy professionals, this book provides a future-forward approach to data engineering that's efficient, adaptive, and ready for the demands of AI-powered ecosystems. Whether you're building data infrastructure from scratch or modernizing legacy systems, this guide will help you engineer data with intelligence at its core.

• Format: Paperback
• Language: English
• ISBN: B0F5MLP8GR
• ISBN13: 9798280412026
• Release Date: April 2025
• Publisher: Independently published
• Length: 116 Pages
• Dimensions: 9.0" x 0.3" x 6.0"