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Azure storage, streaming, and batch analytic : a guide for data engineers / Richard Nuckolls

By: Material type: TextTextPublication details: New York : Manning Publications Co., c2020Description: xx, 426 pages : illustrations ; 24 cmISBN:
  • 9781617296307
Subject(s): LOC classification:
  • TK 5105.88813 .N83 2020
Contents:
1. What is data engineering? -- 2. Building an analytics system in Azure -- 3. General storage with Azure Storage accounts -- 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.
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."
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Holdings
Item type Current library Collection Call number Materials specified Status Date due Barcode
Books Books NU Clark Circulation Non-fiction GC TK 5105.88813 .N83 2020 (Browse shelf(Opens below)) Available NUCLA000005376

Includes index.

1. What is data engineering? -- 2. Building an analytics system in Azure -- 3. General storage with Azure Storage accounts -- 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.

"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."

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