Azure Data Engineering Cookbook
This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.
Offered by
Difficulty Level
Intermediate
Completion Time
15h8m
Language
English
About Book
Who Is This Book For?
This book is for Data Engineers, Database administrators, Database developers, and extract, load, transform (ETL) developers looking to build expertise in Azure Data engineering using a recipe-based approach. Technical architects and database architects with experience in designing data or ETL applications either on-premise or on any other cloud vendor who wants to learn Azure Data engineering concepts will also find this book useful. Prior knowledge of Azure fundamentals and data engineering concepts is needed.
Azure Data Engineering Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h8m total length
Working with Azure Blob Storage
Working with Relational Database in Azure
Analyzing Data with Azure Synapse Analytics
Control Flow Activities in Azure Data Factory
Control Flow Transformation and Copy Data Activity in Azure Data Factory
Data Flow in Azure Data Factory
Azure Data Factory Integration Runtime
Deploying Azure Data Factory Pipelines
Batch and Streaming Data Processing with Azure Databricks
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