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Exam Ref 70-767 Implementing a SQL Data Warehouse
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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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Designing Data Products: The Data Products Series Volume I
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TrueNAS Infrastructure Resilience and Data Protection Strategies: Building secure, scalable, and fault-tolerant storage systems for enterprise and hybrid deployments.
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Nextcloud Self-Hosting Guide: RUN YOUR OWN CLOUD, CONTROL YOUR DATA, AVOID DROPBOX & GOOGLE: Step-by-step setup on Raspberry Pi, Docker, and Linux for home, small business and IT pros
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Complete PostgreSQL 18 Mastery: How Developers Can Combine AI, Analytics, and SQL to Create Intelligent Digital Solutions
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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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Power BI Masterclass: Step-by-Step Strategies for Data Modeling, DAX Formulas, and Enterprise Reporting
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The Snowflake Data Modeling Handbook: Accelerate Development, Optimize Queries, and Design Enterprise-Grade Models with Confidence
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Building AI-Ready Synthetic Data Vaults: Unlock Scalable, Compliant, and Reliable Data Pipelines for Machine Learning Teams
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Mastering Power BI Desktop 2.148.1226.0: From Data to Insight
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Practical Introduction to Data Warehousing and Big Data with Hive for Beginners
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Mastering Apache Kafka 4.0: From Cluster Architecture to Stream Processing and Governance for Developers & Analysts
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Mastering Data Mesh: Redefining Data Architecture for Scalability, Agility, and AI Value: A Practical Framework for Building Decentralized, Intelligent, and Future-Ready Data Systems
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Data Foundations for AI Systems: Build Reliable Machine Learning Pipelines that Power Accurate, Scalable, and Trustworthy Models
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Knowledge Graph Intelligence: Building the Reasoning Layer for AI with Neo4j, Rag, and Large Language Models
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Knowledge Discovery, Knowledge Engineering and Knowledge Management: 16th International Joint Conference, IC3K 2024, Porto, Portugal, November 17–19, 2024, Revised Selected Papers
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Learning MySQL: Get a Handle on Your Data
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Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
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Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage
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Data Stewardship in Practice: From Policies to People, From Roles to Results
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Data Interoperability: Unified Architecture Connecting All of Your Data
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Unlocking dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
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Apache Polaris - The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog
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