Building a Scalable Web Crawling and Indexing Pipeline with Azure storage and AI Search
In the ever-evolving world of data management, keeping search indexes up-to-date with dynamic data can be challenging. Traditional approaches, such as manual or scheduled indexing, are resource-intensive, delay-prone, and difficult to scale. Azure Blob Trigger combined with an AI Search Indexer offers a cutting-edge solution to overcome these challenges, enabling real-time, scalable, and enriched data indexing. This blog explores how Blob Trigger, integrated with Azure Cognitive Search, transforms the indexing process by automating workflows and enriching data with AI capabilities. It highlights the step-by-step process of configuring Blob Storage, creating Azure Functions for triggers, and seamlessly connecting with an AI-powered search index. The approach leverages Azure's event-driven architecture, ensuring efficient and cost-effective data management.Dell APEX File Storage for Microsoft Azure brings a powerful new option to our customers
Dell PowerScale OneFS has been trusted by customers across all industries to provide performant, resilient, and scalable multiprotocol file storage for nearly two decades. At Ignite 2024 we announced a new Dell managed variant that compliments the existing offering to give you powerful choice from a proven industry leader.Bringing Enterprise File Data to Users with Azure NetApp Files, Microsoft Foundry, and M365 Copilot
This is Part 3 of a 3-part series on extending AI to enterprise file data, showing how the knowledge pipeline is surfaced through enterprise AI agents and user experiences including Microsoft 365 Copilot.From Enterprise File Storage to an AI-Ready Data Foundation using Azure NetApp Files and OneLake
This 3-part series shows how to extend AI to enterprise file data – without migration – by combining Azure NetApp Files, OneLake, and a RAG-based architecture that surfaces grounded insights through enterprise AI agents. This is Part 1 of a 3-part series covering the data foundation, knowledge pipeline, and user experience layers.From File Data to AI‑Powered Knowledge Pipelines using Azure NetApp Files object REST API
This is Part 2 of a 3-part series on extending AI to enterprise file data hosted on Azure NetApp Files, building on the data foundation to create a knowledge pipeline that makes enterprise file data usable by AI systems.
