Azure Trainings

Data Modeling in Azure

Data Modeling in Azure helps design structured, efficient, and scalable data models for analytics and applications. It ensures data consistency, better performance, and easy reporting across Azure services like SQL Database, Synapse, and Data Factory.

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SQL Database vs Azure Data Warehouse

SQL Database is best for transactional workloads and real-time applications, while Azure Data Warehouse is built for large-scale analytics and complex reporting on massive datasets. Choose based on performance, scale, and analytical needs.

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Overview of Azure Data Engineer

An Azure Data Engineer designs, builds, and manages data pipelines on Microsoft Azure. The role focuses on data ingestion, storage, transformation, and analytics using tools like Data Factory, Synapse, Databricks, and Data Lake. Ideal for those aiming to work with big data and cloud-based solutions.

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