Getting Started local development with Azure Cosmos DB services – Part 1

Azure Cosmos DB is a multi-API, multi-model highly scalable NoSQL database services from Microsoft Azure platform. In order to develop an application consuming Azure Cosmos DB requires an azure live subscription or emulator in your local machine. The Azure Cosmos DB Emulator provides a local development/test environment for Azure Cosmos DB development purposes. Using Azure […]

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Azure in Germany–a complete EU cloud computing solution

With my earlier article Azure in China, it came in to my interest to look for any other country/region specific independent cloud data center requirements.  I came across Azure for US Govt(Similar to Amazon Govt Cloud) instance and Azure Germany data center.  For this article context I will be covering only Azure in Germany. What […]

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Azure in China

Microsoft Azure presence in China is always a question when there is a need for any customer to deploy azure applications specifically for Chinese Regional customers. Recently I had an interaction with a Microsoft Certified Trainer, who carelessly said Azure only uses Chinese partner based environment is only for serving CDN (Content Delivery Network) needs, […]

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Introducing Azure IoT Edge

During Build! 2017 Microsoft has announced the availability of Azure IoT Edge, which would bring in some of the cloud capabilities to edge devices/networks within your Enterprise. This would enable industrial devices to utilize the capabilities of IoT in Azure within their constrained resources .  With this Microsoft now makes it easier for developers to […]

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Azure CosmosDB – a multi-model, multi-API for highly scalable applications

Azure Cosmos DB is the next generation globally distributed multi model database from Microsoft. Cosmos DB has been built from scratch in mind with efficient global distribution and horizontal scalability aspects as the core. Azure Cosmos DB guarantees single-digit-millisecond latencies at the 99% availability across the world with Enterprise Level SLAs. Offers a set of […]

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LLM Output Parsing: Transforming Unstructured Text into Reliable Data Structures

Introduction: LLM outputs are inherently unstructured—models generate text, not data structures. Yet most applications need structured data: JSON for APIs, typed objects for business logic, specific formats for downstream processing. Output parsing bridges this gap, transforming free-form text into reliable, validated data structures. This guide covers the techniques that make parsing robust: format specification in […]

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