Verifying Object Exists and Dropping Object with One Statement
For years you probably have been writing code similar to the code below to verify an object exist prior to dropping it.
2020-03-19
Additional Articles
Securely Manage Database Credentials Using Visual Studio Manage User Secrets
In this tip we cover how to manage application secrets in a development environment to securely store database credentials.
2020-03-18
Translating a SQL Server Schema into a Cassandra Table: Part II Integrity Constraints
Complex integrity constraints are more challenging to enforce in Cassandra than they are in a relational database. In this article, Shel Burkow walks through four modelling examples in Cassandra involving constraints.
2020-03-17
Overview of Azure Cache for Redis
Caching data is one way to improve application performance. In this article, Chandra Kudumla explains a service for caching data found in Azure called Azure Cache for Redis.
2020-03-16
Free Fundamentals of Index Tuning Week: Part 2, Indexing for ORDER BY
I’m teaching my Mastering Index Tuning pre-con at SQLBits and SQL Saturday Iceland, and part of the prerequisites is that you’re already familiar with my How to Think Like the Engine class and my Fundamentals of Index Tuning class. To make that easier, I’m running the Fundamentals of Index Tuning class this week on the blog.
2020-03-13
Enterprise Insights from the 2020 State of Database DevOps report
17% of Enterprise respondents in this year's State of Database DevOps survey reported that DevOps has been adopted across all projects in their organization. This year’s State of Database DevOps report gave us some great insights into the landscape of Database DevOps. Kendra Little walks us through those insights specific to Enterprise organizations.
2020-03-12
Free Fundamentals of Index Tuning Week: Part 1, Indexing for the WHERE Clause
I’m teaching my Mastering Index Tuning pre-con at SQLBits and SQL Saturday Iceland, and part of the prerequisites is that you’re already familiar with my How to Think Like the Engine class and my Fundamentals of Index Tuning class.
2020-03-12
SQL Server Machine Learning 2019: Working with Security Changes
SQL Server Machine Learning allows you to run R and Python scripts from SQL Server. When SQL Server 2019 was released, Microsoft enhanced the security for this functionality, but it caused some existing code writing to the file system to to break. In this article, Dennes Torres explains the security enhancement and describes three ways to work with it.
2020-03-11
Analyze SQL Server Results in Excel with Conditional Formatting
Learn how to format your SQL Server results in Excel using conditional formatting to quickly identify patterns and issues.
2020-03-10
Meeting your CCPA needs with Data Classification and Masking
This article will explain how to import the data classification metadata for a SQL Server database into Data Masker, providing a masking plan that you can use to ensure the protection of all this data. By applying the data masking operation as part of an automated database provisioning process, you make it fast, repeatable and auditable.
2020-03-10
Blogs
Monitoring Fabric Mirroring for SQL 2025
I previously wrote about how the underlying technology for Fabric mirroring changed with SQL...
Monday Monitor Tips: Intelligent Alert Thresholds
By Steve Jones
At the recent Redgate Summit in Chicago, I demo’d (lightly) the ML based Alert...
A New Word: los vidados
By Steve Jones
los vidados – n. the half-remembered acquaintances you knew years ago, who you might...
Forums
Seeding a Fabric Warehouse with dbt for Visual Studio Code: The Fabric Modern Data Platform
Comments posted to this topic are about the item Seeding a Fabric Warehouse with...
Seeding a Fabric Warehouse with dbt for Visual Studio Code: The Fabric Modern Data Platform
Comments posted to this topic are about the item Seeding a Fabric Warehouse with...
Doing the Little Things
Comments posted to this topic are about the item Doing the Little Things
Question of the Day
Historical Data Tracking
If I want to track historical data values, which mechanism should I use?
See possible answers