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所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-data-factory-synapse-analytics-end-to-end-etl-project/
课程评论：没有评论
**课程总结：Azure 数据工厂 + Synapse Analytics 端到端 ETL 项目** 本 Coursera 课程全面教授如何使用 Azure 数据工程服务构建端到端的 ETL 项目。您将从零开始学习创建所有必需的服务，并掌握从头到尾完成一个 ETL 项目的整个流程。 **核心内容：** * **Azure 数据工厂 (ADF)** 和 **Azure Synapse Analytics** 的实践应用。 * 创建高效 ETL 解决方案的技能。 * 深入了解 Azure 数据工程平台的功能和能力。 * 与其他 Azure 服务的集成，包括： * Azure SQL Database * Azure Synapse Analytics * Azure Key Vault * Azure Data Factory (用于编排) * Azure Storage 解决方案 (Azure Data Lake Gen2) * Microsoft Power BI * Azure Logic Apps * **CI/CD（持续集成/持续部署）** 在 Azure 数据工厂中的应用，实现工作流自动化。 **课程目标：** 无论您是数据工程领域的初学者还是经验丰富的专业人士，本课程都旨在帮助您全面理解 Azure 数据工厂和 Azure Synapse Analytics。学完课程后，您将能够自信地在 Azure 云上创建和管理自己的 ETL 项目。
Are you looking to build an end-to-end ETL project using Azure data engineering services? Look no further than this comprehensive course on Azure Data Factory and Azure Synapse Analytics. This course is designed to guide you through the process of creating all the necessary services from scratch, before building an ETL project from start to finish.Throughout this course, you'll gain practical, hands-on experience with Azure Data Factory and Azure Synapse Analytics, learning how to use these powerful data engineering tools to create a highly effective ETL solution. You'll explore the many features and capabilities of these platforms, as well as their integration with other Azure services like 1. Azure SQL Database2. Azure Synapse Analytics 3. Azure Key Vault 4. Azure Data Factory for Orchestration,5. Azure Storage solutions (Azure Datalake Gen2)6. Microsoft Power BI7. Azure Logic AppsIn addition to the core ETL project, this course also includes an additional section on CICD (Continuous Integration and Continuous Deployment) on Azure Data Factory, helping you to fully automate your data engineering workflow.Whether you're a beginner or an experienced data engineer, this course is designed to help you gain a comprehensive understanding of Azure Data Factory and Azure Synapse Analytics. By the end of the course, you'll be able to confidently create and manage your own ETL projects on the Azure cloud.Enrol now and take your data engineering skills to the next level!
