Azure Logic Apps is replacing Azure Scheduler, which is being retired on 30 September 2019. Azure Scheduler is a service which enables users to create jobs in the cloud that invoke services inside and outside of Azure, such as calling HTTP/S endpoints or posting messages…
The start of the New year is a good a time to get a SQL Server Health Check done. A good health check will help to diagnose and prevent problems before they happen. We can help – find out more about our SQL Server Health…
If you saw any of Microsoft Ignite 2018 you will know that bots and AI are a big focus for software development. Today we are at Microsoft Reactor in London with fellow developers from across the UK for the ‘Bots and AI Hackathon’ event –…
See how Microsoft has approached modernising infrastructure with the hybrid cloud and learn how you can too by registering for their webinar here (external link).
Azure Integration Services allows you to build new solutions that connect resources on-premises and in the cloud. Today from 16:30 – 18:00 GMT, members of Microsoft’s Azure Integration Services product and engineering teams will be hosting a joint Twitter ‘Ask Me Anything’ (AMA) session for…
We are not superstitious types at Ballard Chalmers and are happy to announce that today is our 13th official anniversary! On 5 December 2005, Geoff Ballard and Andrew Chalmers put pen to paper to formally merge their respective IT consultancies into one. Since that day,…
Microsoft’s developer event, Microsoft Connect() 2018 took place yesterday. There were plenty of exciting announcements made this year, including the general availabilities of both Azure Machine Learning service and the custom translation capability in Translator Text Cognitive Service, and Preview availabilities of Azure Cosmos DB…
Microsoft has announced general availability of the Azure Machine Learning service, enabling developers to build, train and deploy machine learning models. Using Azure Machine Learning, developers can automate model selection and tuning, increase productivity with DevOps for machine learning, and deploy models simply.
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