What you’ll learn
- Data Engineering leveraging Services under Azure Data Analytics such as Azure Storage, Data Factory, Azure SQL, Synapse, Databricks, etc.
- Setup Development Environment using Visual Studio Code on Windows
- Building Data Lake using Azure Storage (Blob and ADLS)
- Build Data Warehouse using Azure Synapse
- Implement ETL Logic using ADF Data Flow with Azure Storage as Source and Target
- In Depth Coverage of Orchestration using ADF Pipeline
- Overview of Azure SQL and Azure Synapse Serverless and Dedicated Pool Features
- Implement ETL Logic using ADF Data Flow with Azure SQL as Source and Azure Synapse as Target
- Using Data Copy to copy data between different sources and targets
- Performance Tuning Scenarios of ADF Data Flow and Pipelines
- Build Big Data Solutions using Azure Databricks
- Overview of Spark SQL and Pyspark Data Frame APIs
- Build ELT Pipelines using Databricks Jobs and Workflows
- Orchestrate Databricks Notebooks using ADF Pipelines
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