Time-Series Data Analysis with Apache Druid

Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.

Is your organization using MongoDB? Help the Redgate Flyway team understand your pain points

Is MongoDB in use within your organization? The Flyway development team is adding MongoDB support into Flyway and would like to better understand the current pain points. If you are able help, or are interested in finding out more, please participate in our 5-minute survey.

Does Management Care About the Database?

In the past, Steve hasn't often felt management considered databases to be important, but that is changing.

The Basics of Dynamic Data Masking - Step 1 of the Stairway to Dynamic Data Masking

Learn the basics of how Dynamic Data Masking can be used to obfuscate data in SQL Server 2016+.

Timescale Launches Dynamic PostgreSQL, the Cost-Effective Alternative to Serverless and Peak-Allocation Pay Models

New solution allows developers and teams to “buy the base and rent the peak” when provisioning for variable workloads without wastage or performance tradeoffs

Something’s Up with Parallelism in Azure SQL DB Serverless

Or perhaps another way to phrase that is, Microsoft is up to something with parallelism. I don’t know how long it’s been this way – could even be since the launch of Azure SQL DB Serverless – but I just now noticed it while helping a client with a slow query.

Don't (Always) Be a Hero

When we need to be heroes in IT on a regular basis, that's a problem for Steve.

SQL Server and Python Tutorial

This article will show the basic outline for how Python scripts can access and work with data in SQL Server.

Don’t use DISTINCT as a “join-fixer”

I’ve quietly resolved performance issues by re-writing slow queries to avoid DISTINCT. Often, the DISTINCT is there only to serve as a “join-fixer,” and I can explain what that means using an example.

Five database DevOps practices for boosting team productivity

Speed of delivery and protecting data can often feel incompatible, but there are industry-proven database DevOps practices that bring them together in harmony.

Across each of these five key practices, there’s a theme of removing barriers and cognitive load for teams; but crucially, they are also putting safeguards in place to reduce the risks to production environments.