Clear Thinking in Data, Cloud, and AI
Practical insights from real-world cloud, data, and AI engineering
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Building a Practical Azure Landing Zone for a Small Organization — My Hands-On Journey
Over the past few weeks, I went through the full process of designing and implementing a lean but enterprise-grade Azure Landing Zone for a small organization. The goal wasn’t to build a complex cloud platform — it was to create something secure, governed, and scalable, while remaining simple enough to operate with a small team.…
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Microservice and Idempotent method
Idempotent method is the one that results in same behavior either in a single or mutiple calls. For example a delete method…
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An overview of Azure SQL Database and SQL Managed Instance security capabilities
This article outlines the basics of securing the data tier of an application using Azure SQL Database and Azure SQL Managed Instance. The security strategy…
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The 7Ws Framework
1-Who is involved?Person or organization of interest to the enterprise. That is, “Who is important to the business?” Often a ‘who’ is…
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Data projects design that reflects ETL approach
Azure approach that reflects ETL; Source: Identify the source systems to extract from. In Azure, data sources include Azure Cosmos DB, Azure…
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Building a Practical Azure Landing Zone for a Small Organization — My Hands-On Journey
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Azure Tenant vs Subscription vs Landing Zone (Plain English Guide)
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Building a FinOps Cost Intelligence Dashboard on Azure: From Raw Data to Operational Insight
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The information on this weblog is provided “as is,” without warranties of any kind, and confers no rights. The content reflects my personal views and does not represent the thoughts, intentions, plans, or strategies of any organization with which I am affiliated. Discussion and differing viewpoints are welcome; however, I reserve the right to moderate or remove comments that are abusive, profane, rude, or anonymous. Please keep the conversation respectful and constructive.