Description
✅ What You Will Learn
☁ Cloud & Storage Fundamentals
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Azure Storage: ADLS Blob, File Share, Queues, Tables
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OLTP vs OLAP Concepts
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Integration Runtime Configuration
🔄 ETL & Pipeline Automation
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Parameterization, Lookup, For Each, If Activity, Execute Pipeline
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Incremental Pipelines for data efficiency
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REST API & Logic App Integration
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Triggers and Azure Key Vault
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Git Integration & Azure DevOps CI/CD
🔥 Big Data & Spark
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Hadoop Concepts & Big Data Fundamentals
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Spark Basics, Functions, and Writing DataFrames
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Spark SQL, File Reading, and Mounting
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Transformations & Actions, Repartitioning, Caching
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Join Optimization in Spark
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Databricks Workflow, SQL Warehouse, Cluster Types & Spark UI
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Streaming with Autoloader & Event Hub
📊 Analytics & Data Warehousing
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Azure Synapse Analytics & Dedicated SQL Pools
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Snowflake Integration
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Dimensional Modelling for analytics
🛠 Advanced Tools & Emerging Tech
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Microsoft Fabric for Data Engineering
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Generative AI in Data Workflows
💼 Career Development
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System Analysis & Design for Data Projects
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LinkedIn Profile Optimization
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Interview Preparation & Mock Interviews
👤 Who Is This Course For?
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Aspiring and experienced Data Engineers
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Cloud Engineers wanting to specialize in data solutions
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Big Data developers transitioning to Azure platforms
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Certification aspirants for Azure Data Engineer roles
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Professionals aiming to build, optimize, and manage large-scale Azure data pipelines
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