Business Intelligence (BI) tools like Power BI are used by a wide range of professionals, creating diverse and complex scenarios, and finding the right solution can be daunting, especially when multiple approaches exist for a single use case. The author distills his 17 years of experience on various data platform technologies in this book to walk you through various Power BI usage scenarios.
2026-06-05 (first published: 2025-05-27)
4,903 reads
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.
2026-06-05 (first published: 2026-02-03)
643 reads
Adoption and use of PostgreSQL is growing all the time. From mom-and-pop shops to large enterprises, more data is being managed by PostgreSQL. In turn, this means that more data professionals need to learn PostgreSQL even when they have experience with other databases. While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging. This book seeks to help with that challenge.
2026-06-05 (first published: 2025-02-06)
5,525 reads
A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.
2026-05-25 (first published: 2026-02-04)
3,389 reads
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.
2026-05-04 (first published: 2026-02-03)
1,135 reads
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.
2026-04-20 (first published: 2024-02-29)
6,524 reads
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.
2026-04-17 (first published: 2025-03-26)
2,470 reads
This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible.
2026-02-02 (first published: 2025-10-14)
3,172 reads
Adapted from the acclaimed bestselling book, The Phoenix Project Graphic Novel Volume 1 introduces readers to a stalwart cast of characters as they are challenged by the four types of work that impact complex workflows.
2026-01-26 (first published: 2024-12-05)
2,966 reads
For anyone else who needs to write queries or develop T-SQL code for SQL Server, Azure SQL Database, or Azure SQL Managed Instance
2026-01-21 (first published: 2025-10-14)
3,386 reads
By Steve Jones
A customer was trying to compare two tables and capture a state as a...
By Zikato
When I'm looking at a query, I bet it's bad if I see... a...
By Steve Jones
This month is a milestone for T-SQL Tuesday. It’s number 200, which doesn’t sound...
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Comments posted to this topic are about the item Checking the Error Log I
On my SQL Server 2025, I want to search the error log from my T-SQL code for potential issues and then inform an administrator. What is the current way to easily query the error log?
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