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Azure Data Engineering Mastery: Designing Scalable Data Pipelines with Azure Data Factory, Databricks, Synapse Analytics, Event Hubs, and Stream Analy
Paperback
Series: Data Engineering Domain for Professional, Book 14
Publisher: Independently Published
Published: Mar 4 2026
Pages: 202
Weight: 0.61
Height: 0.43 Width: 6.00 Depth: 9.00
Language: English
Modern organizations rely on data to drive decisions, power analytics, and build intelligent applications. But collecting and processing massive amounts of data requires robust data engineering systems.
Azure Data Engineering Mastery is a practical guide to designing scalable cloud data platforms using Microsoft Azure.
This book provides a complete introduction to the Azure data ecosystem and shows how to build modern data pipelines that collect, process, and analyze large datasets efficiently.
Whether you're a beginner entering the world of data engineering or a professional looking to expand your cloud data skills, this book provides the knowledge needed to build real-world data engineering solutions.
What You Will Learn
Fundamentals of modern data engineering
Building ETL pipelines with Azure Data Factory
Designing scalable storage with Azure Data Lake Storage
Processing big data using Azure Databricks and Apache Spark
Implementing enterprise data warehouses using Azure Synapse Analytics
Building real-time streaming pipelines with Azure Event Hubs and Stream Analytics
Securing and governing data platforms using Azure security tools
Optimizing performance and managing cloud infrastructure costs
Who This Book Is For
This book is ideal for:
Aspiring Data Engineers
Cloud Engineers
Data Analysts
Software Developers
Professionals preparing for the Microsoft Azure Data Engineer certification (DP-203)
By the end of this book, you will understand how to design, implement, and optimize modern cloud-based data platforms using Microsoft Azure.
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