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AWS Data Engineering for Modern Analytics: A practical guide to building secure, cost-efficient, and production-ready data platforms on AWS
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Data Engineering with Python cookbook: Learn to build efficient data pipelines using the Modern Cloud Data Stack (Data Engineering with Python cookbook series)
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Designing Modern Data Systems: Decision-Focused Software Architecture for Data Engineering, System Design, and Large Language Model Platforms
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Modern Data Engineering with ClickHouse & DuckDB: Lightning-Fast OLAP, Lakehouse Pipelines & Real-Time Analytics
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Architecting Modern Data Pipelines: Implement Clean Architecture, Unit Testing, and CI/CD for High-Performance Data Engineering
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Snowflake for Developers: Build Scalable Cloud Data Platforms with SQL, Python, and Modern Data Engineering Workflows
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Data Engineering Foundations 2025-2026: Pipelines Warehousing and Analytics with Python SQL and Modern Tools
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Mastering Snowflake Cloud Warehousing: A Complete Guide to Scalable Data Engineering, ELT Pipelines, and Modern Analytics Architecture
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Relational vs. Non-Relational Databases for Modern Engineering: Designing Resilient Data Layers with NewSQL, Vector Stores, and Polyglot Persistence
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Azure Data Engineering: Architecting Modern Analytics with Microsoft Fabric IQ (Azure Data Matstery)
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Data Engineering for Cybersecurity: Designing Scalable Pipelines, Schemas, and Analytics to Power Modern Threat Hunting and Incident Response ... Tools, Automation, and Detection Engineering)
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Data Engineering with Advanced Python: Learn to Build Production Data applications using Modern Cloud Data tools (Data Engineering with Python cookbook series)
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
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The Great Data Shift: Principles of Modern Data Engineering & AI
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Modern Data Engineering for LLMs: Architect, Automate, and Optimize Data Pipelines for AI Systems
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AWS Data Engineering 2025 Guide for Beginners: A Beginner’s Guide to Mastering Cloud Data Pipelines and Analytics with Modern Engineering Tools
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Modern Analytics Engineering: The Data Practitioner's Guide to AI-Ready Systems
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TrueNAS Mastery: Performance Engineering, ZFS Optimization, and Automated Data Lifecycle Management: Optimizing Throughput, Latency, Caching, ... to Modern Enterprise Storage Engineering)
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MASTERING DAGSTER: MODERN DATA ORCHESTRATION WITH PYTHON: Build Production Data Pipelines with Software Engineering Best Practices. ETL, ML Workflows, Data Quality, and Scalable Deployment
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MASTERING DAGSTER: MODERN DATA ORCHESTRATION WITH PYTHON: Build Production Data Pipelines with Software Engineering Best Practices. ETL, ML Workflows, Data Quality, and Scalable Deployment
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AWS Glue for Data Engineering: Serverless ETL, Analytics, and Workflow Automation for Modern Cloud Pipelines (Cloud Data Engineering Mastery Series)
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Modern Databases & Data Pipelines: Hands-On Data Engineering with Kafka, Airflow, and dbt
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