The Coeo Blog

I’ve blogged previously about the need to configure a quorum witness on failover clusters and now with Windows Server 2016 there’s a great new quorum option – a cloud witness.

Recently I have been working on several projects that have made use of Azure Data Factory (ADF) for ETL. During these projects it became very clear to me that I would need to implement and follow certain key principles when developing with ADF. This is the first of a series of posts which will..

Data and digital privacy laws don’t change very often but the online world has evolved a lot since the Data Protection Act of 1998.  As such, an overhaul of the EU laws have been long overdue and new regulation is arriving in the form of the General Data Protection Regulation (GDPR).

While cloud adoption is happening at a different pace in every organisation, the speed of adoption for the businesses Coeo works with is getting faster. However, they’re not all replacing all of their existing IT systems with new cloud services. Instead, many are integrating cloud services with..

Recently we helped one of our customers with a Microsoft case in regards to a clustered AG deployed in Azure. We would regularly receive reports of the clustered nodes failing to heartbeat, and as such this would terminate the cluster service, and sometimes impact the synchronisation status of the..

Past success is no guarantee of success in the future. Database platforms, like web browsers, might be an established technology but the demands of them are likely to change more in the next two years than in the previous 25.

Being a futurist, I like new features and SQL Server 2016 and Azure SQL Database have one that’s really caught my eye!

Despite Microsoft continuously adding functionality to it, the Azure SQL Database service has always been missing one key feature – SQL Server Agent. The reality is, it’s absent rather than missing. Platform as a Service capabilities are, and should be, promoting platform wide approaches to..

Analytics technologies have traditionally told users what had happened in the past using the data captured in transactional systems. Then, predictive analytics and machine learning began giving users forecasts for the future based on what happened in the past. Now these previously separate..