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Computers require a form of base unit that converts electricity (energy) into data that can be used to store, compute, and execute applications. The devices we use today, smartphones, laptops, smart devices, and more, this base unit is known as a ‘bit’. A bit can be either 1 or 0. On the other hand, in … Continue reading Introduction to Qubit
Microsoft provides a good documentation on how to ingest monitoring data over event-hubs and preparing it for Azure Data Explorer, Tutorial: Ingest and query monitoring data in Azure Data Explorer. The solution provided by Microsoft collects all Diagnostic data in a central table, which is counterproductive if alerts or detailed queries are needed. So how … Continue reading Azure monitoring data event-hub integration
In the film Die Hard 3, the protagonists have been presented with a problem of how to fill a water can with exactly 4L using a 3L and a 5L tank with an unlimited supply of water [3]. Although the problem, increased in popularity with the film the problem has been around for a while … Continue reading Water-Jars Problem (Properties of using 2 Jars for the problem)
When developing solutions, it is not uncommon to encounter situations where Azure Functions are required to perform some tasks. For example, creating an API interface, or handling some complex execution out for a logic app. A common question that always arises is how to deploy everything together, while allowing software developers to still build and … Continue reading Azure Functions with File Contents using Bicep
Power Platform Dataflows are a solution to import large data into DataVerse. Although they come with a few limitations, in some scenarios they can be a good alternative for recurring imports without the need to go through Azure Data Factory or Azure Logic App expenses. This article assumes that the reader has some background in … Continue reading Power Platform Dataflows – Validating data on import