Building Custom Tasks for SQL Server Integration Services: The Power of .Net for Etl for SQL Server 2019 and Beyond (Paperback)
暫譯: 為 SQL Server 整合服務建立自訂任務:.Net 在 SQL Server 2019 及以後的 ETL 力量 (平裝本)
Leonard, Andy
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商品描述
Build custom SQL Server Integration Services (SSIS) tasks using Visual Studio Community Edition and C#. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you've already spent on licensing SQL Server. New in this edition is a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR).
All examples in this new edition are implemented in C#. Custom task developers are shown how to implement custom tasks using the widely accepted and default language for .NET development.
Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, gaps remain in the available functionality. One such gap is a constraint of the built-in SSIS Execute Package Task, which does not allow SSIS developers to select SSIS packages from other projects in the SSIS Catalog. Examples in this book show how to create a custom Execute Catalog Package task that allows SSIS developers to execute tasks from other projects in the SSIS Catalog. Building on the examples and patterns in this book, SSIS developers may create any task to which they aspire, custom tailored to their specific data integration and ETL needs.
What You Will Learn
- Configure and execute Visual Studio in the way that best supports SSIS task development
- Create a class library as the basis for an SSIS task, and reference the needed SSIS assemblies
- Properly sign assemblies that you create in order to invoke them from your task
- Implement source code control via Azure DevOps, or your own favorite tool set
- Troubleshoot and execute custom tasks as part of your own projects
- Create deployment projects (MSIs) for distributing code-complete tasks
- Deploy custom tasks to Azure Data Factory Azure-SSIS IRs in the cloud
- Create advanced editors for custom task parameters
Who This Book Is For
For database administrators and developers who are involved in ETL projects built around SQL Server Integration Services (SSIS). Readers do not need a background in software development with C#. Most important is a desire to optimize ETL efforts by creating custom-tailored tasks for execution in SSIS packages, on-premises or in ADF Azure-SSIS IRs.
商品描述(中文翻譯)
建立自訂的 SQL Server Integration Services (SSIS) 任務,使用 Visual Studio Community Edition 和 C#。充分利用 Microsoft .NET 的所有功能來處理您的資料整合和 ETL 流程,且不需額外支付超過您已經花費在 SQL Server 授權上的費用。本版新增了一個示範,展示如何將自訂的 SSIS 任務部署到 Azure Data Factory (ADF) 的 Azure-SSIS 整合執行環境 (IR)。
本版中的所有範例均以 C# 實作。自訂任務開發者將學習如何使用 .NET 開發的廣泛接受和預設語言來實作自訂任務。
為什麼需要自訂元件?因為儘管 SSIS 內建任務和元件的目錄是一項工程奇蹟,但仍然存在可用功能的空白。其中一個空白是內建的 SSIS Execute Package Task 的限制,該限制不允許 SSIS 開發者從 SSIS 目錄中的其他專案選擇 SSIS 套件。本書中的範例展示了如何創建一個自訂的 Execute Catalog Package 任務,允許 SSIS 開發者執行來自 SSIS 目錄中其他專案的任務。基於本書中的範例和模式,SSIS 開發者可以創建任何他們所期望的任務,根據他們特定的資料整合和 ETL 需求量身定制。
您將學到什麼
- 配置和執行 Visual Studio,以最佳方式支持 SSIS 任務開發
- 創建一個類別庫作為 SSIS 任務的基礎,並引用所需的 SSIS 程式庫
- 正確簽署您創建的程式庫,以便從您的任務中調用它們
- 通過 Azure DevOps 或您自己喜愛的工具集實施源代碼控制
- 故障排除並執行自訂任務,作為您自己專案的一部分
- 創建部署專案 (MSIs) 以分發代碼完整的任務
- 將自訂任務部署到雲端的 Azure Data Factory Azure-SSIS IR
- 為自訂任務參數創建高級編輯器
本書適合誰
適合參與以 SQL Server Integration Services (SSIS) 為基礎的 ETL 專案的資料庫管理員和開發者。讀者不需要具備 C# 的軟體開發背景。最重要的是希望通過創建量身定制的任務來優化 ETL 工作,以便在 SSIS 套件中執行,無論是在本地還是在 ADF Azure-SSIS IR 中。
作者簡介
Andy Leonard is Chief Data Engineer at Enterprise Data & Analytics, an SSIS trainer, consultant, developer of the Data Integration Lifecycle Management (DILM) Suite, a Business Intelligence Markup Language (Biml) developer, and BimlHero. He is a SQL Server database and data warehouse developer, community mentor, engineer, and occasional farmer. He is co-author of Apress books SQL Server Integration Services Design Patterns and The Biml Book, and author of the Apress book Data Integration Life Cycle Management with SSIS and the Stairway to Integration Services series at SQLServerCentral.com.
作者簡介(中文翻譯)
Andy Leonard 是 Enterprise Data & Analytics 的首席數據工程師,SSIS 培訓師、顧問、數據整合生命週期管理 (DILM) 套件的開發者、商業智慧標記語言 (Biml) 開發者以及 BimlHero。他是一名 SQL Server 數據庫和數據倉儲開發者、社群導師、工程師,偶爾也會從事農業工作。他是 Apress 出版的書籍 SQL Server Integration Services Design Patterns 和 The Biml Book 的共同作者,以及 Apress 書籍 Data Integration Life Cycle Management with SSIS 的作者,並且在 SQLServerCentral.com 上撰寫 Stairway to Integration Services 系列文章。