HTHarsh Trivediinharshtrivedii.hashnode.dev·Jul 17 · 18 min readEnterprise-Scale Azure Key Vault Management: Deleting, Purging, and Automating SecretsCleaning Up Azure Key Vault: A Business and Developer’s Guide to Deleting, Bulk-Deleting, and Permanently Purging Secrets Part of the series AI Cloud and Data Engineering Articles. Every pipeline in t00
HTHarsh Trivediinharshtrivedii.hashnode.dev·Jul 13 · 13 min readConnecting Snowflake and Azure: Why We Do It, and a Step-by-Step Guide to Storage Integrations and Private ConnectivityPart of the series AI Cloud and Data Engineering Articles. The previous articles in this series covered encrypting sensitive documents with Azure Key Vault + AES, and building a full SharePoint → Azur00
HTHarsh Trivediinharshtrivedii.hashnode.dev·Jul 11 · 20 min readBuilding a Secure SharePoint → Azure Blob → Snowflake Document Intelligence PipelinePart of the series AI Cloud and Data Engineering Articles. In Part 1 we covered why documents should be encrypted before they ever reach cloud storage, how Azure Key Vault and Service Principals keep 00
HTHarsh Trivediinharshtrivedii.hashnode.dev·Jul 4 · 20 min readMoving from Snowflake Streamlit Warehouse Runtime to Snowpark Container Services: Restricted Caller Rights, Installing Third-Party Packages and Building Enterprise AI ApplicationsEnterprises are increasingly moving beyond static BI dashboards (Power BI, Tableau, etc.) toward AI-driven data exploration. Employees from HR to Finance now expect conversational access to data: for 00
HTHarsh Trivediinharshtrivedii.hashnode.dev·Jun 22 · 9 min readSecuring Enterprise AI Pipelines: Using Azure Key Vault and AES Encryption for Sensitive Documents in Snowflake/Databricks AI WorkloadsOrganizations are rapidly building AI-powered applications on top of business documents such as contracts, invoices, employee records, financial reports, sales data, and operational data. While signif00
