Data Engineering for AI/ML Pipelines: A Comprehensive Guide to Building Scalable, Intelligent Data Workflows
Format:
Paperback
En stock
0.32 kg
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Nuevo
Amazon
USA
- Data Engineering for AI/ML Pipelines: Build Scalable, Intelligent Workflows.The definitive guide to mastering data engineering for AI and machine learning pipelines,updated with the latest tools, real-world case studies, and proven strategies. Whether you're a data engineer, ML practitioner, or tech leader, this comprehensive book equips you to design high-performance, production-ready AI/ML pipelines that scale from prototype to enterprise.In today’s AI-driven world, data is the new oil, but only if refined through robust, intelligent pipelines. Data Engineering for AI/ML Pipelines takes you beyond theory into actionable practice, covering every stage of the modern data lifecycle with real code, and benchmarks.Why this book stands out:12 in-depth chapters with Python code examples, PySpark workflows, and Airflow 2.10+ DAGsUp-to-date 2025 tools: Apache Kafka 3.8, Flink 2.0, dbt Core 1.9, Databricks Unity Catalog, Snowflake Cortex, Feast, and emerging AI platformsReal-world case studies from healthcare, finance, and robotics, featuring Physical AI, RAG pipelines, and real-time analyticsWhat you’ll master:Ingest and process structured, unstructured, and streaming data at scaleAutomate data cleansing, feature engineering, and anomaly detection with AIOrchestrate ML workflows using Kubeflow, Prefect, and AirflowSecure pipelines with differential privacy, federated learning, and zero-trust modelsOptimize cost and performance with mathematical models and simulationsFuture-proof with edge AI, quantum-ready data models, and interoperability protocols (MCP, A2A)Includes:GitHub-ready code repos and public datasetsAppendix with tool benchmarks, glossaries, and resources“The backbone of every successful AI system is a bulletproof data pipeline. This book is your blueprint.” – Dr. Alex J. SterlingDon’t let poor data engineering derail your AI initiatives. Grab your copy today and build scalable, intelligent, future-ready ML pipelines that deliver real business impact.
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