A Fine Slice Of SQL Server
Steven Sanderson has a round of updates to share:
util_negative_binomial_aic(): Calculate the Akaike Information Criterion (AIC) for the negative binomial distribution. This function aids in model selection, helping you determine the best-fitting model for your data.
Read on for utility functions for a dozen or so distributions, as well as a few other small fixes.
Comments closedAndy Brownsword continues diving into SSIS projects:
Last week we looked at project parameters in SSIS to help us configure our projects. This can help us to tailor the project to the package its in for example. Here we’ll look at using Configurations within Visual Studio to manage those parameters for multiple environments.
Read the whole thing.
Comments closedUmair Shahid goes through the list:
For any financial company that handles sensitive data as part of its operations, the protection of personally identifiable information (PII) is paramount. With the increasing frequency and sophistication of cyberattacks, it is crucial for these companies to implement robust security measures to safeguard PII.
This includes ensuring that even in the event of a breach, unauthorized individuals cannot read or misuse the data. One of the most effective ways to achieve this is through the encryption of data both in motion and at rest.
This blog will delve into the importance of encryption, the methods used to secure data in PostgreSQL databases, and the compliance regulations that mandate these practices.
Click through for the article. The set of capabilities are rather similar to what we have in SQL Server as well.
Comments closedRod Edwards takes us through an issue:
CONVERT_IMPLICIT(nvarchar(200),[xxxxxxxxxxxxxxxxxxx].[Category,0)=[@Category] AND CONVERT_IMPLICIT(nvarchar(200),[xxxxxxxxxxxxxxxxxxx].[Id],0)=[@Id]
Oh dear, what’s all that then, we have a fat Residual Predicate, where SQL is performing an Implicit conversion on our query predicates.
Time to look at our datatypes.
This is one of several reasons why I espouse the philosophy of NVARCHAR Everywhere. You can’t have implicit conversion if you’re always using NVARCHAR over VARCHAR.
Comments closedJoe Gavin shows how to use a function:
A common task while working with data in Microsoft SQL Server is converting from one data type to another. Most often, it’s done to change the way data is presented, but sometimes it is needed to make sure the right data types are being used for comparisons, joins, or sorting.
The SQL CONVERT function, which has long been part of the SQL language, and as the name implies, can be used to convert a value of one data type into a specified data type with optional formatting attributes. CONVERT gives you the ability to format, whereas the ISO Compliant CAST function does not.
My very strong recommendation for 99% or so of the audience: use TRY_CONVERT() instead. TRY_CONVERT() came out in SQL Server 2012 (sorry for the 1% stuck pre-2012) and has the same performance profile as CONVERT(), except that, when conversion fails, TRY_CONVERT() returns NULL rather than throwing an error.
There is also a TRY_CAST() that does exactly what you think it would.
I created this report to summarize the release status for all Fabric features that are documented in the Microsoft Fabric Roadmap. The information on this report is collected and updated frequently from the Fabric Roadmap hosted by Microsoft, and displays status information in a convenient, single-page Power BI report. Each feature area on the report has links to the detail documentation on the official roadmap site. For convenience, I’ve shortened the report path to TinyURL.com/FabricRoadmapReport.
Check out that link to see the report.
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