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Cloud and AI Cost Management with Power BI: A Practical Guide from a Data Engineering and FinOps Perspective

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Modern AI Web Engineering with Elementor and Claude Code: Practical Systems for Automated Design, Data Integration, and Scalable Development Workflows: 2 (The Web Systems & Design for Beginners)

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Data Engineering for Beginners: A Practical Guide to Modern Data Pipelines and Analytics

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The AI Economy's Hidden Jobs: The Practical Career Guide to Data Annotation, Data Center Operations, and Forward Deployed Engineering

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Practical Data Engineering With Databricks And PySpark: A Comprehensive Tutorial With Step-by-step Lessons, Real-World Projects, Optimization Techniques and Industry Case Studies

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The Data Center Engineering Handbook: A Practical Guide to Infrastructure Design, Power Systems, Cooling, Security, Compliance, and Operational Excellence

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PySpark AI Engineering for Beginners: Build Scalable Data Pipelines, Apply Distributed Machine Learning Techniques, and Develop Practical Ai Workflows Using Real-World Pyspark and Spark Mllib Concepts

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AWS Certified Machine Learning Engineer Associate MLA-C01 Study Guide: A Practical Guide to Amazon SageMaker, MLOps, Data Engineering, Model Training, ... and Real AWS Certification Exam Preparation

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Data Engineering with GCP: Practical guide to designing and deploying scalable data pipelines on Google Cloud (English Edition)

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AWS Data Engineering Cookbook: Practical Recipes for Scalable Data Pipelines and Analytics on AWS

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Building Data Pipelines with Real-World Projects: Practical ETL and Data Integration Exercises for Developing Job-Ready Engineering Skills

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Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)

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Data Engineering with dbt – Practical guide to cloud-based data platforms with SQL

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Hyperspectral Imaging and SAR Data Fusion: Theory, Algorithms and Practical Implementation - An Engineering Approach

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Data Engineering with Google Cloud Platform: A practical guide to operationalizing scalable data analytics systems on GCP

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Data Engineering with AWS - Practical guide to scalable, secure data platforms - English Edition

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The Modern AI and Data Blueprint: A Practical Handbook for AI Engineering, Data Science & Future Tech Careers

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Practical Data Engineering: Python and SQL in Action: Architecting the Invisible Infrastructure of the Information Age (The Caelum Protocol)

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Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection

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Building Data Pipelines for AI Applications: A Practical Guide for Data Engineering, Feature Engineering, and AI-Enabled Chatbots

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Stewards of Data : A Practical Handbook for Undergraduate Researchers in Engineering and Applied Sciences

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Data Center BMS Design - Stage 3 & Stage 4 Practical Guide: A Practical Engineering Guide Based on Real Project Experience

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AI-Augmented Engineering Systems: A Practical Guide to Designing Intelligent Infrastructure, Smart Automation, and Data-Driven Engineering Solutions: 2 (Advanced Firmware Engineering)

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Feature Engineering: A Practical Handbook for Data Scientists, ML Engineers & Developers

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The AI-Powered Business Analyst: Leveraging Generative AI for Enhanced Insights & Innovation: Practical Guide to Prompt Engineering, Data Confidentiality, Dashboard Design, and Idea Generation

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Practical Data Engineering: Python and SQL in Action: Architecting the Invisible Infrastructure of the Information Age (The Caelum Protocol)

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Using AI Agents for Data Engineering and Data Analysis: A Practical Guide to Claude Code, Google Antigravity, OpenAI Codex, and More (Merced Books on Agentic AI and Data)

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FUNDAMENTALS OF DATA ENGINEERING: A Practical Guide to Designing Scalable Data Pipelines, Modern Architectures, and Production-Ready Systems (Beginner to Advanced)

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Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)

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Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python (Data Science Engineering in Python)

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Data and the Built Environment: A Practical Guide to Building a Better World Using Data (Digital Innovations in Architecture, Engineering and Construction)

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AWS Certified Machine Learning Engineer Associate MLA-C01 Study Guide: A Practical Guide to Amazon SageMaker, MLOps, Data Engineering, Model Training, ... and Real AWS Certification Exam Preparation

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Pentatonic Electronic Kalimba DIY Kit with 77x44mm Circuit Board for Practical Sound Engineering Exploration (Kit + Data Cable)

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Building Scalable Data Pipelines: Practical Data Engineering with SQL, Python, and Spark

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Steam Heating: A Manual of Practical Data, Compiled by the General Engineering Committee of Warren Webster Company

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DP-700 Labs and Hands-on Projects: The Practical Roadmap to Building Scalable Data Engineering Solutions and Enterprise Analytics (The Caelum Protocol)

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Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python (Data Science Engineering in Python)

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DP-700 Labs and Hands-on Projects: The Practical Roadmap to Building Scalable Data Engineering Solutions and Enterprise Analytics (The Caelum Protocol)

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Practical AI Network Engineering for Beginners: Learn Data-Centric Deployment Methods With Neural Optimization, Cloud-Native Scalability, And ... Programming and Systems Architecture)

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Databricks Data Engineering Handbook: A Practical, Scenario-Based Guide to Spark, Delta Lake, Streaming, Governance, and Performance Optimization (Data Engineering Domain For professional)

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