Azure Data Engineering

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Azure Data Engineering

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內容描述

The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage.
Azure Data Engineering teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

目錄大綱

1. What is data engineering
   2 Building an analytics system in Azure
   3 Azure Storage Blob service
   4 Azure Data Lake storage
   5 Message handling with Event Hubs
   6 Real-time queries with Azure Stream Analytics
   7 Batch queries with Azure Data Lake Analytics
   8 U-SQL for complex analytics
   9 Integrating with Azure Data Lake Analytics
   10 Service integration with Azure Data Factory
   11 Managed SQL with Azure SQL Database
   12 Integrating Data Factory with SQL Database
   13 Where to go next
   A Appendix A. Set up of Azure resources through Powershell

作者介紹

Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure. During his nearly 20 years of experience, he's done server and database administration, desktop and web development, and more recently has led teams in building a production content management system in Azure.