Storage

Integrate Microsoft Fabric with SAP data with USB4SAP [in live and cached mode]

Microsoft Fabric integration with SAP using USB4SAP With USB4SAP, Fabric users can access SAP data. This data can be used to refresh PowerBI semantic models in live and cache mode. USB4SAP provides deep integration into your SAP system (for raw tables data, as well as modeled information like reports, queries, CDS, BW extractors etc), SAP […]

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What’s new in Azure AI Translator: document translation?

Seattle—June 18, 2024—Today, we are happy to announce new releases and enhancements to Azure AI Translator Service. We are introducing a new endpoint which unifies document translation async batch and sync operation and the SDKs are updated. Now, you can use and deploy document translation features in your organization to translate documents through Azure AI

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Windows Server 2025 Storage Performance with Diskspd

Spoiler (Highlight to read) Windows Server 2025 is the most secure and performant release yet! Download the evaluation now! Looking to migrate from VMware to Windows Server 2025? Contact your Microsoft account team! Windows Server 2025 is the most secure and performant release yet! Download the evaluation now! Looking to migrate from VMware to Windows Server 2025? Contact your

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Cloud security posture and contextualization across cloud boundaries from a single dashboard

Introduction:   Have you ever found yourself in a situation where you wanted to prioritize the riskiest misconfigurations on cloud workloads across Azure, AWS, and GCP? Have you ever wondered how to implement a unified dashboard for cloud security posture across a multicloud environment?   This article covers how you can achieve these scenarios by using

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AI-as-a-Service: Architecting GenAI Application Governance with Azure API Management and Fabric

The past year has seen explosive growth for Azure OpenAI and large language models in general. With models reliant on a token-based approach for processing requests, ensuring prompt engineering is being done correctly, tracking what models and api‘s are being used, load balancing across multiple instances, and creating chargeback models has become increasingly important. The

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Using Cohere Binary Embeddings in Azure AI Search and Command R/R+ Model via Azure AI Studio

In April 2024, we proudly announced our partnership with Cohere, allowing customers to seamlessly leverage Cohere models via the Azure AI Studio Model Catalog, as part of the Models as a Service (MaaS) offering. At Build 2024, Azure AI Search launched support for Binary Vectors. In this blog, we are excited to continue from our

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Azure AI Search Database Selection: Optimizing Performance and Scalability for Your Business

In today’s data-driven world, selecting the right database for your specific use case is crucial for optimizing performance, ensuring scalability, and maintaining security. Azure AI Search, combined with Azure OpenAI and the Retrieval Augmented Generation (RAG) pattern, provides a powerful framework for building advanced generative AI applications. These solutions are tailored to meet diverse needs

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Using USB4SAP and Data Factory to extract SAP data for PowerBI in live and cache mode

USB4SAP and Data Factory  With USB4SAP, Data Factory users can access SAP data. This data can be used to refresh PowerBI semantic models in live and cache mode. USB4SAP provides deep integration into your SAP system (for raw tables data, as well as modeled information like reports, queries, CDS, BW extractors etc). SAP tables data

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Accessing a third-party NAS with SMB in Windows 11 24H2 may fail

Heya folks, Ned here again. With the publication of Windows 11 24H2 Release Preview, customers are trying out the new OS prior to general availability. If you were in the Windows Insider Canary or Dev release program for the past few years, nothing I’m about to share is new. But if you weren’t and you’re now having issues

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Load Testing RAG based Generative AI Applications

When developing applications for Language Models (LLMs), we usually spend a lot of time on both the development and evaluation phases to ensure the app delivers high-quality responses that are not only accurate but also safe for users. However, a great user experience with an LLM application isn’t just about the quality of responses—it’s also about

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