{"product_id":"9781638350149","title":"Azure Storage, Streaming, and Batch Analytics: A guide for data engineers","description":"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. \u003ci\u003eAzure Storage, Streaming, and Batch Analytics\u003c\/i\u003e teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003e 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 Storage, Streaming, and Batch Analytics teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.\u003cbr\u003e \u003cbr\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003e Microsoft Azure provides dozens of services that simplify storing and processing data. These services are secure, reliable, scalable, and cost efficient.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e 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.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e    Configuring Azure services for speed and cost\u003cbr\u003e     Constructing data pipelines with Data Factory\u003cbr\u003e     Choosing the right data storage methods\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003e For readers familiar with database management. Examples in C# and PowerShell.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e Richard Nuckolls is a senior developer building big data analytics and reporting systems in Azure.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e1 What is data engineering?\u003cbr\u003e \u003cbr\u003e2 Building an analytics system in Azure\u003cbr\u003e \u003cbr\u003e3 General storage with Azure Storage accounts\u003cbr\u003e \u003cbr\u003e4 Azure Data Lake Storage\u003cbr\u003e \u003cbr\u003e5 Message handling with Event Hubs\u003cbr\u003e \u003cbr\u003e6 Real-time queries with Azure Stream Analytics\u003cbr\u003e \u003cbr\u003e7 Batch queries with Azure Data Lake Analytics\u003cbr\u003e \u003cbr\u003e8 U-SQL for complex analytics\u003cbr\u003e \u003cbr\u003e9 Integrating with Azure Data Lake Analytics\u003cbr\u003e \u003cbr\u003e10 Service integration with Azure Data Factory\u003cbr\u003e \u003cbr\u003e11 Managed SQL with Azure SQL Database\u003cbr\u003e \u003cbr\u003e12 Integrating Data Factory with SQL Database\u003cbr\u003e \u003cbr\u003e13 Where to go next","brand":"Manning","offers":[{"title":"Default Title","offer_id":46419234554097,"sku":"9781638350149","price":58.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781638350149_p0.jpg?v=1765422818","url":"https:\/\/shop.barnesandnoble.com\/products\/9781638350149","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}