Welcome to QuantumFlow! Shabab's Azure Databricks ETL Solution.
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Azure Data Lake Management: Orchestrated creation of Azure Data Lake on Gen2 with tiered storage.
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Databricks Orchestration: Streamlined data processing workflows with cluster, pool, and job orchestration.
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Security Enhancement: Implemented Azure Key Vault for secure credential management.
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Delta Lake Implementation: Utilized Delta Lake for resilient Lake House Architecture.
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Unity Catalog for Data Governance: Leveraged Unity Catalog for robust data governance.
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Comprehensive Databricks Notebook: Developed a comprehensive Databricks notebook for data processing.
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End-to-End Data Pipelines: Engineered end-to-end data pipelines for seamless execution.
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Error Handling and Logging: Implemented robust error handling and logging mechanisms.
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Professional-Level Data Engineering: Proficient in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2, and Azure Data Factory.
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Azure Databricks Management: Created notebooks, dashboards, clusters, cluster pools, and jobs.
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Data Ingestion and Transformation: Ingested and transformed data using PySpark.
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Spark SQL for Data Analysis: Transformed and analyzed data using Spark SQL.
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Lakehouse Architecture: Implemented a Lakehouse architecture using Delta Lake.
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Azure Data Factory Integration: Created pipelines and triggers for executing Databricks notebooks.
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PowerBI Integration: Connected to Azure Databricks from PowerBI for report creation.
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Unity Catalog for Data Governance: Implemented data governance using Unity Catalog.
- Clone the repository.
- Set up Azure Databricks and Azure Data Lake.
- Configure Azure Key Vault for secure credential management.
- Import Databricks notebooks and set up clusters.
- Set up Azure Data Factory pipelines and triggers.
- Explore the comprehensive Databricks notebook for data processing.
- Enjoy a robust, scalable, and governed ETL pipeline!