Nikos Chelmis • 6/19/2024

Building a Scalable Real-Time Data Pipeline with Event Hub, Stream Analytics, Parquet, ADLS, and ADX

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This technical article details the architecture and components for constructing a scalable real-time data pipeline on Microsoft Azure. It explains the roles of Azure Event Hub for ingestion, Stream Analytics for processing, Parquet for efficient storage, Azure Data Lake Storage (ADLS), and Azure Data Explorer (ADX) for analytics, providing an overview of their key features and integration.

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#Data Ingestion #Azure Data Explorer #Azure Stream Analytics
Building a Scalable Real-Time Data Pipeline with Event Hub, Stream Analytics, Parquet, ADLS, and ADX

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