Data Engineering with Azure by Dharmendra Pratap Singh (.ePUB)
File Size: 11.1 MB
Data Engineering with Azure Databricks: Design, build, and scale intelligent data solutions by Dharmendra Pratap Singh
Requirements: .ePUB reader, 11.1 MB | True EPUB
Overview: As organizations scale, the need for efficient and intelligent data platforms continues to grow. Azure Databricks stands out as a leading platform to deliver scalable data processing, collaborative workflows, and seamless cloud integration. The ability to build scalable pipelines using Apache Spark has become a critical skill for modern data professionals. This book provides a practical and structured journey through the complete data engineering lifecycle using Azure Databricks. 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. This book is designed for data engineers, data architects, data scientists, and IT professionals working with modern data platforms. It is ideal for practitioners looking to build scalable data pipelines and analytical data products, apply robust data quality practices, and master Azure Databricks for real-world data engineering.
Genre: Non-Fiction > Tech & Devices
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