SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
暫譯: 透過框架自動化 SQL Server 數據：使用 T-SQL、SSIS 和 Azure Data Factory 建立元數據驅動框架

Leonard, Andy, Bradshaw, Kent

SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data Factory
  • 出版商: Apress
  • 出版日期: 2020-10-18
  • 售價: $1,740
  • 貴賓價: 9.5 折 $1,653
  • 語言: 英文
  • 頁數: 110
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484262123
  • ISBN-13: 9781484262122
  • 相關分類: Microsoft Azure、MSSQL、SQL

    • 海外代購書籍(需單獨結帳)

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商品描述

Learn to automate SQL Server operations using frameworks built from metadata-driven stored procedures and SQL Server Integration Services (SSIS). Bring all the power of Transact-SQL (T-SQL) and Microsoft .NET to bear on your repetitive data, data integration, and ETL processes. Do this for no added cost over what you've already spent on licensing SQL Server. The tools and methods from this book may be applied to on-premises and Azure SQL Server instances. The SSIS framework from this book works in Azure Data Factory (ADF) and provides DevOps personnel the ability to execute child packages outside a project--functionality not natively available in SSIS.
Frameworks not only reduce the time required to deliver enterprise functionality, but can also accelerate troubleshooting and problem resolution. You'll learn in this book how frameworks also improve code quality by using metadata to drive processes. Much of the work performed by data professionals can be classified as "drudge work"--tasks that are repetitive and template-based. The frameworks-based approach shown in this book helps you to avoid that drudgery by turning repetitive tasks into "one and done" operations. Frameworks as described in this book also support enterprise DevOps with built-in logging functionality.

What You Will Learn

  • Create a stored procedure framework to automate SQL process execution
  • Base your framework on a working system of stored procedures and execution logging
  • Create an SSIS framework to reduce the complexity of executing multiple SSIS packages
  • Deploy stored procedure and SSIS frameworks to Azure Data Factory environments in the cloud


Who This Book Is For
Database administrators and developers who are involved in enterprise data projects built around stored procedures and SQL Server Integration Services (SSIS). Readers should have a background in programming along with a desire to optimize their data efforts by implementing repeatable processes that support enterprise DevOps.

商品描述(中文翻譯)

學習使用基於元數據驅動的儲存過程和 SQL Server 整合服務 (SSIS) 建立的框架來自動化 SQL Server 操作。將 Transact-SQL (T-SQL) 和 Microsoft .NET 的所有功能應用於您的重複數據、數據整合和 ETL 流程。這樣做不會增加您在 SQL Server 授權上已經花費的成本。本書中的工具和方法可應用於本地和 Azure SQL Server 實例。本書中的 SSIS 框架可在 Azure Data Factory (ADF) 中運作，並為 DevOps 人員提供在項目外執行子包的能力——這是 SSIS 原生不具備的功能。

框架不僅減少了交付企業功能所需的時間，還可以加速故障排除和問題解決。您將在本書中學到，框架如何通過使用元數據來驅動流程，從而改善代碼質量。數據專業人員所執行的許多工作可以被歸類為「繁瑣工作」——那些重複且基於模板的任務。本書中展示的基於框架的方法幫助您避免這種繁瑣，將重複任務轉變為「一次完成」的操作。本書中描述的框架還支持企業 DevOps，並具備內建的日誌功能。

您將學到的內容：

- 創建一個儲存過程框架以自動化 SQL 流程執行
- 基於一個有效的儲存過程和執行日誌系統來構建您的框架
- 創建一個 SSIS 框架以減少執行多個 SSIS 包的複雜性
- 將儲存過程和 SSIS 框架部署到雲端的 Azure Data Factory 環境中

本書的讀者對象：

本書適合參與圍繞儲存過程和 SQL Server 整合服務 (SSIS) 建立的企業數據項目的資料庫管理員和開發人員。讀者應具備編程背景，並希望通過實施可重複的流程來優化其數據工作，以支持企業 DevOps。

作者簡介

Andy Leonard is Chief Data Engineer at Enterprise Data & Analytics, creator and Data Philosopher at DILM (Data Integration Lifecycle Management) Suite, an Azure Data Factory and SQL Server Integration Services trainer and consultant, and a BimlHero. He is a SQL Server database and data warehouse developer, community mentor, engineer, and farmer. Andy is co-author of SQL Server Integration Services Design Patterns, Data Integration Life Cycle Management with SSIS, and The Biml Book.
Kent Bradshaw is the founder or Tudor Data Solutions, LLC. With over 40 years of IT experience, he is a SQL Server database/ETL developer and database architect with a background is in Medicaid claims, public schools, government, retail, and insurance systems. In 2011, Kent founded Tudor Data Solutions, LLC to pursue new development opportunities which led to his association with Andy Leonard and Enterprise Data & Analytics. In 2017, Kent received the MPP certification for Data Science.

 

作者簡介(中文翻譯)

安迪·倫納德（Andy Leonard）是企業數據與分析部門的首席數據工程師，也是 DILM（數據整合生命週期管理）套件的創建者和數據哲學家，並擔任 Azure Data Factory 和 SQL Server Integration Services 的培訓師和顧問，還是一位 BimlHero。他是一名 SQL Server 數據庫和數據倉儲開發人員、社區導師、工程師和農夫。安迪是《SQL Server Integration Services 設計模式》、《使用 SSIS 的數據整合生命週期管理》和《Biml 書籍》的共同作者。

肯特·布拉德肖（Kent Bradshaw）是 Tudor Data Solutions, LLC 的創始人。擁有超過 40 年的 IT 經驗，他是一名 SQL Server 數據庫/ETL 開發人員和數據庫架構師，背景涵蓋醫療補助索賠、公共學校、政府、零售和保險系統。2011 年，肯特創立了 Tudor Data Solutions, LLC，以追求新的開發機會，這使他與安迪·倫納德和企業數據與分析部門建立了聯繫。2017 年，肯特獲得了數據科學的 MPP 認證。

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