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Data Engineering with Azure Databricks


30,000

It begins with the fundamentals of big data and Spark, then moves into building scalable ETL/ELT pipelines, applying transformations, and enforcing data quality. You will explore architectural patterns in modern data ecosystems and build real-time streaming solutions. Readers will also learn to integrate Databricks with ADF, Power BI, Event Hubs, and other services. The book also covers DevOps and CI/CD using Databricks Asset Bundles.

Author:  Dharmendra Pratap Singh

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