AI-Driven Data Engineering: Tools, Techniques, and Best Practices for Next-Gen Data Pipelines
AI-Driven Data Engineering: Tools, Techniques, and Best Practices for Next-Gen Data Pipelines by May June
English | April 17, 2025 | ISBN: N/A | ASIN: B0F5HMTSV1 | 134 pages | EPUB | 0.63 Mb
English | April 17, 2025 | ISBN: N/A | ASIN: B0F5HMTSV1 | 134 pages | EPUB | 0.63 Mb
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.