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🚀 Senior Analyst | Azure Cloud Engineer | Data Engineering & DevOps…
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📅 Day 27 – End-to-End Real-Time Project Example in Azure Today, let’s bring everything together into an end-to-end real-time data engineering…
📅 Day 27 – End-to-End Real-Time Project Example in Azure Today, let’s bring everything together into an end-to-end real-time data engineering…
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📅 Day 26: Security in Azure Data Engineering (RBAC, Managed Identities) 🔒 Security is non-negotiable in enterprise data projects. Azure provides…
📅 Day 26: Security in Azure Data Engineering (RBAC, Managed Identities) 🔒 Security is non-negotiable in enterprise data projects. Azure provides…
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📅 Day 25 of 30 – Cost Optimization in Azure Data Projects 💰⚡ One of the biggest challenges in enterprise data engineering is managing costs while…
📅 Day 25 of 30 – Cost Optimization in Azure Data Projects 💰⚡ One of the biggest challenges in enterprise data engineering is managing costs while…
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🚀 Day 24 of Azure Data Engineering Journey Today’s topic: Schema Evolution in Delta Lake ✨ Schema evolution is a powerful feature in Delta Lake…
🚀 Day 24 of Azure Data Engineering Journey Today’s topic: Schema Evolution in Delta Lake ✨ Schema evolution is a powerful feature in Delta Lake…
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📌 Day 23 – Watermarking in Streaming Jobs In real-time data pipelines, one of the biggest challenges is late-arriving data. Imagine IoT devices…
📌 Day 23 – Watermarking in Streaming Jobs In real-time data pipelines, one of the biggest challenges is late-arriving data. Imagine IoT devices…
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📌 Day 22 – Real-Time Streaming with Event Hub, Stream Analytics & Databricks In today’s world of IoT, finance, and e-commerce, real-time data…
📌 Day 22 – Real-Time Streaming with Event Hub, Stream Analytics & Databricks In today’s world of IoT, finance, and e-commerce, real-time data…
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📅 Day 20 & 21 – Secrets Management & Monitoring in Azure 🔹 In any Data Engineering or DataOps project, two things are non-negotiable: 👉 Security…
📅 Day 20 & 21 – Secrets Management & Monitoring in Azure 🔹 In any Data Engineering or DataOps project, two things are non-negotiable: 👉 Security…
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📌 Day 19 – Alerting & Retry Policies in ADF + Databricks ⚠️ In real-world data engineering projects, failures are inevitable—network issues, schema…
📌 Day 19 – Alerting & Retry Policies in ADF + Databricks ⚠️ In real-world data engineering projects, failures are inevitable—network issues, schema…
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📌 Day 18 – Azure Cost Management in Data Engineering Projects Managing cloud costs is just as important as building scalable data pipelines. With…
📌 Day 18 – Azure Cost Management in Data Engineering Projects Managing cloud costs is just as important as building scalable data pipelines. With…
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⚡ Day 16 & 17 – Azure DevOps Pipelines + Infrastructure as Code (IaC) in Data Engineering 🚀 In modern Data Engineering projects, automation is the…
⚡ Day 16 & 17 – Azure DevOps Pipelines + Infrastructure as Code (IaC) in Data Engineering 🚀 In modern Data Engineering projects, automation is the…
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🌟 Day 15 – What is DataOps? Why Does It Matter in Real-Time Projects? 🌟 In modern data engineering, building ETL/ELT pipelines isn’t the end goal.…
🌟 Day 15 – What is DataOps? Why Does It Matter in Real-Time Projects? 🌟 In modern data engineering, building ETL/ELT pipelines isn’t the end goal.…
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🌟 Day 14 – Azure Data Engineering & DataOps Knowledge Sharing Challenge 🌟 🔹 Topic: Azure Data Factory Linked Services & Datasets In Azure Data…
🌟 Day 14 – Azure Data Engineering & DataOps Knowledge Sharing Challenge 🌟 🔹 Topic: Azure Data Factory Linked Services & Datasets In Azure Data…
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🚀 Day 13 – Azure Data Engineering & DataOps Knowledge Sharing Challenge 🥳 🔹 Topic: Azure Data Factory – Triggers & Scheduling ✅ What are…
🚀 Day 13 – Azure Data Engineering & DataOps Knowledge Sharing Challenge 🥳 🔹 Topic: Azure Data Factory – Triggers & Scheduling ✅ What are…
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🚀 Day 12 – Azure Data Engineering & DataOps Knowledge Sharing Challenge 🥳 🔹 Topic: Z-Ordering & OPTIMIZE in Delta Lake When working with…
🚀 Day 12 – Azure Data Engineering & DataOps Knowledge Sharing Challenge 🥳 🔹 Topic: Z-Ordering & OPTIMIZE in Delta Lake When working with…
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