The first installment of this new stairway series will be discuss the CROSS JOIN operator. This stairway should help readers prepare for passing the Microsoft Certification exam 70-461: Querying Microsoft SQL Server 2012.
The APPLY operator allows you to join a record set with a function, and apply the function to every qualifying row of the table (or view). The APPLY operator takes on two formats: CROSS APPLY, or OUTER APPLY. This article will explain the differences between these two formats, and show you examples of how each of these formats work.
A CTE is a temporary result set defined by a simple query, and is used within the execution scope of a single INSERT, UPDATE, DELETE, or SELECT statement. In this article we will explore how to define and use CTE's.
Using a CURSOR is not normally the best way to process through a set of records. Yet when a seasoned programmer moves to writing TSQL for the first time they frequently look for ways to process a sets of records one row at a time. They do this because they are not used to thinking about processing records as a set. In order to process through a TSQL record set a row at a time you can use a cursor. A cursor is a record set that is defined with the DECLARE CURSOR statement. Cursors can be defined as either read-only or updatable. In this article I will introduce you to using cursors to do record level processing one row at a time.
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.
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.
Learn a bit about the impact of readable secondaries, which you might not expect.
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.
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.