| 書目名稱 | The Definitive Guide to Azure Data Engineering | | 副標(biāo)題 | Modern ELT, DevOps, | | 編輯 | Ron C. L‘Esteve | | 視頻video | http://file.papertrans.cn/908/907246/907246.mp4 | | 概述 | Provides step-by-step examples of Azure data engineering concepts and solutions.Promotes a standard for data engineering excellence through quality patterns and practices.Leaves readers with valuable | | 圖書封面 |  | | 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 da | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Azure Data Engineering; Azure Data Architecture; Cloud Data Engineering; Azure Data Factory; ETL and ELT | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-7182-7 | | isbn_softcover | 978-1-4842-7181-0 | | isbn_ebook | 978-1-4842-7182-7 | | copyright | Ron C. L‘Esteve 2021 |
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