Exploring SQL Server 2016 Always Encrypted – Part 4 – Encrypting Existing Data
Greg Larsen explores the different ways that you can encrypt your existing confidential data using Always Encrypted Columns in SQL Server 2016.
Azure SQL Data Warehouse loading patterns and strategies
This article gives an overview of the Microsoft Azure SQL Data Warehouse architecture. The new platform-as-a service (PaaS) offering provides independent compute and storage scaling on demand and is currently in public preview.
Why Log Shipping is still a viable solution in 2016
An explanation as to what Log Shipping is and why it's still a viable solution in 2016.
How to Build and Deploy Azure IaaS VMs with PowerShell
The whole point of using a cloud service is to be able to use it intensively for a brief period just when it is needed and then clear out all your work when you've finished. This means automation to make the process as quick and easy as possible. It is likely to mean creating a VM, provisioning it from scratch and spinning it up using PowerShell. Relax, grab the popcorn, and let Adam Bertram show you how he does it in Azure.
Forcing Strong Passwords
Passwords are always a challenge, but are bad passwords the users' fault? Steve Jones has a few thoughts.
SQL Server CROSS APPLY and OUTER APPLY
Arshad Ali demonstrates what the APPLY operator is, how it differs from regular JOINs, and what its applications are.
Should Production Databases Be in a VCS?
Steve Jones talks version control, but from the production perspective.
Introduction to Azure SQL Database Elastic Database Pools
Traditional deployments of Azure SQL Database involve identifying projected resource requirements and selecting individual Azure SQL Database instances. For fluctuating workloads, this frequently results in over- or under-provisioning. To address this challenge, Microsoft offers another approach to sizing Azure SQL Database that relies on Elastic Database Pools. Marcin Policht takes a look.
Zero Downtime for 2016
Someone made a call to architect zero downtime for databases. Steve Jones isn't sure this is the best thing you could do.
Using R Machine Learning Script as a Power BI Desktop Data Source
You can develop a Power BI Dashboard that uses an R machine learning script as its data source and custom visuals. Here is a simple example that shows how to connect to data sources over the Internet, cleanse, transform and enrich the data through the use analytical datasets returned by the R script, design the dashboard and finally share it.
Blogs
T-SQL Tuesday #198 Roundup: How Do You Detect Data Changes?
Thank you to everyone who participated in T-SQL Tuesday #198! When I wrote the...
Optimizing Redshift Performance by Configuring WLM Queues
Efficient query performance in Amazon Redshift often comes down to how well you manage...
PowerShell Strikes Back: Return of the Loop
By gbargsley
Welcome back to PowerShell Strikes Back. We’re three weeks in, and the training is...
Forums
Dealing with huge heap tables
Recently, our dev teams approach me for advice on improving their huge heap table...
Merge Replication failing with Error converting data type nvarchar to numeric
After upgrading 2 Merge Replicated databases to SQL 2022 and re-establishing the Merge Replication...
Why Your Index Isn't Being Used? - Reading Execution Plans to Find the Real Culprit
Comments posted to this topic are about the item Why Your Index Isn't Being...
Question of the Day
Distance Metric Algorithms
What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?
See possible answers