Security in the cloud: Whose responsibility is it?

While the cloud is recognized as more secure than on-premises servers and infrastructures, it does come with the often talked about shared responsibility model. Cloud providers are responsible for security ‘of’ the cloud, while their clients are responsible for security ‘in’ the cloud. Find out more in this Q&A with Dustin Dorsey

The PASS Data Community Summit First Timer Guide

The 2023 First-Timer guide to the PASS Data Community Summit is available from Edwin Sarmiento

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.

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.

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.

Trigger the Execution of an ADF Pipeline from an Email

Learn how you can configure an Azure Data Factory pipeline that is triggered by an email being sent to an address.