T-SQL Fundamentals
For anyone else who needs to write queries or develop T-SQL code for SQL Server, Azure SQL Database, or Azure SQL Managed Instance
2026-09-18 (first published: 2025-10-14)
4,512 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
2026-09-18 (first published: 2025-10-14)
4,512 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.
2026-09-16 (first published: 2024-12-05)
3,421 reads
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.
2026-09-14 (first published: 2024-09-18)
5,502 reads
The book begins with the basics, explaining what low-code and no-code are and showing how to maximize efficiency in creating business applications for one's organization. Next, the book describes the Microsoft Power Platform's foundation, as well as all its components and services. Readers will begin with practical exercises right away, beginning with provisioning a Power Platform environment. Next, the book delves deeper into the Power Platform components such as Power Apps, Power Automate, Power BI, and Power Virtual Agents. Towards the end, the book explains practical exercises for each feature or service where you will gradually build a small business solution for a fictitious organization, Project Wizards, Inc.
2026-09-11 (first published: 2023-10-18)
2,729 reads
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.
2026-09-09 (first published: 2025-05-27)
5,818 reads
Troubleshoot slow-performing queries and make them run faster. Database administrators and SQL developers are constantly under pressure to provide more speed. This new edition has been redesigned and rewritten from scratch based on the last 15 years of learning, knowledge, and experience accumulated by the author. The book Includes expanded information on using extended events, automatic execution plan correction, and other advanced features now available in SQL Server.
2026-09-07 (first published: 2025-05-27)
4,082 reads
Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance.
2026-09-04 (first published: 2024-09-18)
7,493 reads
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.
2026-09-02 (first published: 2026-02-03)
2,623 reads
In The Unicorn Project, we follow Maxine, a senior lead developer and architect, as she is exiled to the Phoenix Project, to the horror of her friends and colleagues, as punishment for contributing to a payroll outage. She tries to survive in what feels like a heartless and uncaring bureaucracy and to work within a system where no one can get anything done without endless committees, paperwork, and approvals.
2026-08-28 (first published: 2024-06-26)
4,660 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.
2026-08-24 (first published: 2026-02-03)
1,611 reads
By Steve Jones
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