The Definitive Guide to Azure Data Engineering: Modern Elt, Devops, and Analytics on the Azure Cloud Platform
暫譯: Azure 數據工程權威指南：在 Azure 雲端平台上的現代 ELT、DevOps 與分析

L'Esteve, Ron C.

The Definitive Guide to Azure Data Engineering: Modern Elt, Devops, and Analytics on the Azure Cloud Platform
  • 出版商: Apress
  • 出版日期: 2021-08-07
  • 售價: $2,200
  • 貴賓價: 9.5 折 $2,090
  • 語言: 英文
  • 頁數: 228
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484271815
  • ISBN-13: 9781484271810
  • 相關分類: DevOps、Microsoft Azure

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2. You will learn how to engineer your use of these Azure Data Platform components for optimal performance and scalability. You will also learn to design self-service capabilities to maintain and drive the pipelines and your workloads.

The approach in this book is to guide you through a hands-on, scenario-based learning process that will empower you to promote digital innovation best practices while you work through your organization's projects, challenges, and needs. The clear examples enable you to use this book as a reference and guide for building data engineering solutions in Azure. After reading this book, you will have a far stronger skill set and confidence level in getting hands on with the Azure Data Platform.

What You Will Learn

  • Build dynamic, parameterized ELT data ingestion orchestration pipelines in Azure Data Factory
  • Create data ingestion pipelines that integrate control tables for self-service ELT
  • Implement a reusable logging framework that can be applied to multiple pipelines
  • Integrate Azure Data Factory pipelines with a variety of Azure data sources and tools
  • Transform data with Mapping Data Flows in Azure Data Factory
  • Apply Azure DevOps continuous integration and deployment practices to your Azure Data Factory pipelines and development SQL databases
  • Design and implement real-time streaming and advanced analytics solutions using Databricks, Stream Analytics, and Synapse Analytics
  • Get started with a variety of Azure data services through hands-on examples

Who This Book Is For
Data engineers and data architects who are interested in learning architectural and engineering best practices around ELT and ETL on the Azure Data Platform, those who are creating complex Azure data engineering projects and are searching for patterns of success, and aspiring cloud and data professionals involved in data engineering, data governance, continuous integration and deployment of DevOps practices, and advanced analytics who want a full understanding of the many different tools and technologies that Azure Data Platform provides

商品描述(中文翻譯)

建立高效且可擴展的批次和即時數據攝取管道、DevOps 持續整合與部署管道，以及在 Azure 數據平台上的高級分析解決方案。本書教您如何使用 Data Factory、Databricks、Synapse Analytics、Snowflake、Azure SQL 數據庫、Stream Analytics、Cosmos 數據庫和 Data Lake Storage Gen2 設計和實施穩健的數據工程解決方案。您將學習如何優化這些 Azure 數據平台組件的使用，以達到最佳性能和可擴展性。您還將學習設計自助服務功能，以維護和推動管道及工作負載。

本書的方式是通過實作、情境導向的學習過程來指導您，讓您在處理組織的專案、挑戰和需求時，能夠推廣數位創新最佳實踐。清晰的範例使您能夠將本書作為在 Azure 中建立數據工程解決方案的參考和指導。閱讀完本書後，您將擁有更強的技能組合和在 Azure 數據平台上動手操作的信心。

您將學到什麼


  • 在 Azure Data Factory 中建立動態、參數化的 ELT 數據攝取協調管道

  • 創建整合控制表的數據攝取管道，以實現自助服務 ELT

  • 實施可重用的日誌框架，可應用於多個管道

  • 將 Azure Data Factory 管道與各種 Azure 數據源和工具整合

  • 使用 Azure Data Factory 中的 Mapping Data Flows 轉換數據

  • 將 Azure DevOps 持續整合和部署實踐應用於您的 Azure Data Factory 管道和開發 SQL 數據庫

  • 使用 Databricks、Stream Analytics 和 Synapse Analytics 設計和實施即時串流和高級分析解決方案

  • 通過實作範例開始使用各種 Azure 數據服務

本書適合誰

對於希望學習 Azure 數據平台上 ELT 和 ETL 的架構及工程最佳實踐的數據工程師和數據架構師，正在創建複雜的 Azure 數據工程專案並尋找成功模式的人，以及希望全面了解 Azure 數據平台提供的各種工具和技術的雲端和數據專業人士，特別是涉及數據工程、數據治理、DevOps 實踐的持續整合和部署，以及高級分析的專業人士。

作者簡介

​Ron L'Esteve is a professional author residing in Chicago, IL, USA. His passion for Azure Data Engineering stems from his deep experience with implementing, leading, and delivering Azure Data projects for numerous clients. He is a trusted architectural leader and digital innovation strategist, responsible for scaling key data architectures, defining the road map and strategy for the future of data and business intelligence (BI) needs, and challenging customers to grow by thoroughly understanding the fluid business opportunities and enabling change by translating them into high quality and sustainable technical solutions that solve the most complex business challenges and promote digital innovation and transformation. Ron has been an advocate for data excellence across industries and consulting practices, while empowering self-service data, BI, and AI through his contributions to the Microsoft technical community.

作者簡介(中文翻譯)

Ron L'Esteve 是一位居住在美國伊利諾伊州芝加哥的專業作家。他對 Azure 數據工程的熱情源於他在為眾多客戶實施、領導和交付 Azure 數據項目方面的豐富經驗。他是一位值得信賴的架構領導者和數位創新策略家，負責擴展關鍵數據架構，定義未來數據和商業智慧 (BI) 需求的路線圖和策略，並挑戰客戶通過徹底理解流動的商業機會來成長，並通過將這些機會轉化為高品質和可持續的技術解決方案來促進變革，解決最複雜的商業挑戰，並推動數位創新和轉型。Ron 一直是各行各業和諮詢實踐中數據卓越的倡導者，同時通過他對微軟技術社群的貢獻，賦能自助數據、商業智慧和人工智慧。

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