| Description |
xix, 426 pages : illustrations. map ; 24 cm |
| Note |
Includes index |
| Contents |
What is data engineering? -- Building an analytics system in Azure -- General storage with Azure Storage accounts -- Azure Data Lake Storage -- Message handling with Event Hubs -- Real-time queries with Azure Stream Analytics -- Batch queries with Azure Data Lake Analytics -- U-SQL for complex analytics -- Integrating with Azure Data I wire Analytics -- Processing unstructured data -- Service integration with Azure Data Factory -- Managed SQL with Azure SQL Database -- Integrating Data Factory with SQL Database -- Where to go next -- Data Lake Analytics -- Data Factory configuration files -- SQL Database -- Appendix A Setting up Azure services through PowerShell -- Appendix B Configuring the Jonestown Sluggers analytics system |
| Summary |
"Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Read along to construct a cloud-native data warehouse, adding features like real-time data processing. Based on the Lambda architecture for big data, the design uses scalable services such as Event Hubs, Stream Analytics, and SQL databases. Along the way, you'll cover most of the topics needed to earn an Azure data engineering certification." -- Back cover |
| Subject |
Microsoft Azure (Computing platform)
|
|
Microsoft Azure SQL Database.
|
|
SQL server.
|
|
Cloud computing.
|
|
Application software -- Development.
|
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Online databases.
|
| Genre |
Handbooks and manuals.
|
| ISBN |
9781617296307 (paperback) |
|
1617296309 (paperback) |
|
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