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Designing a Scalable Data Ingestion Strategy in Azure

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  Designing a Scalable Data Ingestion Strategy in Azure Table of Contents 1.      Introduction 2.      Understanding Scalable Data Ingestion 3.      Key Components of an Azure Ingestion Pipeline 4.      Approaches to Designing Scalable Ingestion 5.      Best Practices for Optimization 6.      Governance, Monitoring, and Security 7.      Common Architectural Patterns 8.      Preparing for Real-World Implementations 9.      Conclusion Introduction Designing a scalable data ingestion strategy in Azure is essential for organizations dealing with large, diverse, and continuously changing data sources. Whether you’re ingesting structured, semi-structured, or streaming data, Azure provides powerful services that help enterprises build reliable and cost-effective pipelines. Anyone planning...
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Azure Functions and Their Integration with Data Pipelines

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  Azure Functions and Their Integration with Data Pipelines Azure Functions is a serverless compute service in Microsoft Azure that enables developers and data engineers to run event-driven code without managing any underlying infrastructure. It offers a highly scalable, flexible, and cost-efficient way to automate processes in modern cloud architectures. In today’s data-driven world, Azure Functions is widely used in ETL workflows, real-time data handling, and orchestration scenarios. As organisations increasingly adopt serverless technologies, professionals preparing through the Azure Data Engineer Course Online gain the skills needed to build fully automated and reactive data solutions. Azure Functions and Their Integration with Data Pipelines 1. What Are Azure Functions? Azure Functions is a lightweight compute platform designed to execute small units of code—called “functions”—in response to triggers. These triggers can be events such as new file arrivals, HTTP requests...
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