Azure Data Engineering Mastery: Designing Scalable Data Pipelines with Azure Data Factory, Databricks, Synapse Analytics, Event Hubs, and Stream Analytics (Data Engineering Domain For professional)
This book provides a thorough guide to mastering Azure data engineering, emphasizing the design of scalable data pipelines. It delves into Azure Data Factory, Databricks, Synapse Analytics, Event Hubs, and Stream Analytics, offering practical insights for professionals in the data engineering field to construct efficient, robust data solutions.
About This Book
Azure Data Engineering Mastery focuses on designing scalable data pipelines within the Azure cloud platform. It covers essential tools and services for professional data engineers seeking to build efficient data workflows.
The book explores Azure Data Factory for orchestrating data movement and transformation, enabling seamless integration across various data sources. Readers learn to create reliable ETL processes that handle large-scale data operations.
Databricks is examined for advanced analytics and machine learning on big data, providing collaborative environments for data processing. Synapse Analytics is highlighted for unified data warehousing and analytics capabilities.
Event Hubs and Stream Analytics are detailed for real-time data ingestion and processing, supporting streaming scenarios in modern data architectures. This comprehensive guide prepares professionals for the data engineering domain.
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