The Cloud is Better In At Least One Way
Azure SQL Database has a lot of integrity checks. Probably more than your local instance.
Timing is Everything
Phil Factor on the wise habit of timing your database routines, to avoid relying on received wisdom about performance.
The Power of Python and SQL Server 2017
Python is new to SQL Server 2017. It is intended primarily to allow the use of Python-based machine-learning within SQL Server, but it can be used for far more than this, with any Python libraries or Frameworks. To provide an example of what is possible, Hitendra shows how to use the feature securely to provide intelligent application caching, where SQL Server can automatically indicate when data changes to trigger a cache refresh.
A Lightweight, Self-adjusting, Baseline-less Data Monitor
Can data alert us that something is going on, without baselines and thresholds?
The Blame Game
Equifax is blaming a single IT person for their data breach. Steve Jones worries this is a sign of things to come.
Statistics in SQL: Student’s t-test
Many undergraduates have misunderstood the name 'Students' in the t-test to imply that it was designed as a simple test suitable for students. In fact it was William Sealy Gosset, an Englishman publishing under the pseudonym Student, who developed the t-test and t distribution in 1908, as a way of making confident predictions from small sample sizes of normally-distributed variables. As Gosset's employer was Guinness, the brewer, Phil Factor takes a sober view of calculating it in SQL.
Stairway to SQL Server Agent - Level 2: Job Steps and Subsystems
SQL Server Agent jobs are made up of a series of one or more Job Steps. A job step is assigned to a specific job subsystem, which identifies the kind of work the job step is going to perform. Each job step runs in a separate security context, although each job also has an owner that determines who can modify the job.
Network Configuration of SQL Server Always On Availability Groups in Azure
Implementing SQL Server Failover Clustering in Azure virtual machines differs in several aspects from its on-premises implementations. These differences reflect some of the unique characteristics of the storage and network infrastructure services in the Microsoft cloud environment. In this article, Marcin Policht looks at the networking aspects of clustered deployments of SQL Server 2016 in Azure.
Blogs
PostgreSQL Support in the Data API Builder
By Steve Jones
Next week I’m at VS Live in San Diego (register and join me) and...
Ten Years of PowerShell
Ten years ago today, I filmed a Pluralsight Play by Play on open source...
T-SQL Tuesday #202: 100 Hours
By Steve Jones
It’s time for T-SQL Tuesday again and this is a great prompt to start...
Forums
Stored Procedures for Server-Level Object and Column Search
Comments posted to this topic are about the item Stored Procedures for Server-Level Object...
Databricks Genie Spaces for SQL Analysts: Natural Language Querying Without Leaving Your Data Platform
Comments posted to this topic are about the item Databricks Genie Spaces for SQL...
The Costs of Multiple Platforms
Comments posted to this topic are about the item The Costs of Multiple Platforms
Question of the Day
Squared Values
What happens when I run this code in SQL Server 2022?
SELECT SQUARE('12') See possible answers