Books

Deciphering Data Architectures

Deciphering Data Architectures

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each.

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2026-02-09 (first published: )

5,888 reads

Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes

Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques.

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2026-02-04 (first published: )

7 reads

Definitive Guide to DAX cover

The Definitive Guide to DAX: Business Intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel

Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization.

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2026-02-04 (first published: )

3,696 reads

Technical Article

Databricks Data Intelligence Platform: Unlocking the GenAI Revolution

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.

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2026-02-03

5 reads

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

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2026-02-03

5 reads

Microsoft Power BI Performance Best Practices: Learn practical techniques for building high-speed Power BI solutions Microsoft Power BI Performance Best Practices

In a world dominated by data, organizations heavily rely on business intelligence tools like Power BI for deriving insights and informed decision-making. Yet, as data volumes grow and user demands increase, achieving optimal performance becomes challenging.

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2026-02-02 (first published: )

554 reads

Blogs

Git forked

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Forgive me for the title. Mentally I’m 12. When I started my current day...

Setting FK Constraints in Data Modeler

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One of the things a customer asked recently about Redgate Data Modeler was how...

Webinar: Navigating the Database Landscape in 2026

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For a number of years, we’ve produced the State of the Database Landscape report,...

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The Power of Data and Privacy

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Question of the Day

What's the Date?

In SQL Server 2025, there is a new function that returns the current date without the time. What is it?

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