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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2026-04-20 (first published: )

6,462 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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2026-04-17 (first published: )

2,413 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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2026-04-14 (first published: )

679 reads

SQL Server 2025 Unveiled: The AI-Ready Enterprise Database with Microsoft Fabric Integration

SQL Server 2025 Unveiled: The AI-Ready Enterprise Database with Microsoft Fabric Integration

With built-in AI for application development and advanced analytics powered by Microsoft Fabric, SQL Server 2025 empowers you to innovate—securely and confidently. This book shows you how.

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2026-04-14 (first published: )

236 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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2026-04-14 (first published: )

4,180 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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2026-04-13 (first published: )

850 reads

Blogs

How to Connect to SQL Server When Nothing Else Works – DAC

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The Agent Era: When “How do I…?” Replaces “Where do I click?”

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After a year away getting to grips with AI and its application across the...

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Forums

Hiring: Financial SQL Systems Administrator

By Tracy Rivers

Fisher Phillips is looking for a Financial Systems Administrator to help support and improve our financial...

Job Opening for ERP Systems Administrator - Hybrid

By rdr1

Employee owned company, been around for over 50 years. Hybrid opportunity, looking folks in Pacific...

data compare between 2 tables with same structure for any changes after etl run

By syam.tunuguntla

i have huge table with lot of data and is also wide. i took...

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Question of the Day

Creating a JSON Document II

I want to create a JSON document that contains data from this table:

TeamID TeamNameCity         YearEstablished
1      Cowboys  Dallas       1960
2      Eagles   Philadelphia 1933
3      Packers  Green Bay    1919
4      Chiefs   Kansas City  1960
If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName)
FROM dbo.NFLTeams;

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