Stairway to Advanced T-SQL

Stairway to Advanced T-SQL Level 5: Turning Data On Its Side Using PIVOT Operator

The PIVOT operator was added to the Transact-SQL language in SQL Server 2005. It allows you to turn your row data on its side, so it can be presented as column data. This is useful when you want take unique column values and have them displayed as column headings, where the column headings are associated with summarized values displayed below each column heading. In this article I will be exploring how to use the PIVOT operator.

Stairway to SQL Server Security

Stairway to SQL Server Security Level 7: Security Across Databases with Cross-Database Ownership Chaining

Sometimes you need to reach outside a database and access data and objects from multiple databases, which raises some security issues and increases the complexity of data access. In this stairway level, you’ll learn about cross-database ownership chaining so that you can reach across database boundaries securely.

External Article

Redgate Summit: The Database Landscape

A series of Redgate events across the globe for data professionals who want to improve their skills and knowledge about Database DevOps, learn about moving to the Cloud, AI, and working across multiple databases. Redgate Summit aims to bring together database professionals who want to level-up their skills to navigate the increasingly complex database landscape. Learn more about emergent technologies, and reliably solve the complex challenges of database management across the entire DevOps lifecycle. Each event will all feature three separate tracks covering New and Future Technologies, Deep Dive Solutions, and Leadership, all promising to equip senior database professionals with the tools and insights needed to navigate the intricate landscape of 2024.

SQLServerCentral Article

Forget the Models, Your Data is the Secret Sauce for Generative AI

Generative AI holds immense potential for businesses, but its success depends on the quality of your data. High-quality, strategically managed data is essential for building trustworthy, unique, and competitive AI applications. This article explores how AI leverages your data through embeddings, outlines best practices for data management, and emphasizes the importance of responsible AI development. By prioritizing data quality and effective management, you'll position your business to reap the full benefits of Generative AI and drive innovation.

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