|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/operational-analytics-with-microsoft-azure-synapse-analytics
课程评论:没有评论
课程名称:使用 Microsoft Azure Synapse Analytics 进行运营分析 概述:本课程将教授如何使用 Azure Synapse Analytics 的 Azure Synapse Link 功能,对 Azure Cosmos DB 进行运营分析。您将了解混合事务和分析处理如何帮助您在 Azure Synapse Analytics 中执行运营分析。同时,您还将学习如何配置和启用 Azure Synapse Link,以便与 Azure Cosmos DB 进行交互,并如何使用 Azure Synapse Link 对 Azure Cosmos DB 执行分析操作。 该课程是针对希望展示在设计和实施数据解决方案方面的专业知识的数据工程师和开发人员的专项课程之一,特别适合有意为 DP-203:Microsoft Azure 数据工程(测试版)考试做准备的人士。您将在课程中参加一个实践考试,涵盖认证考试测量的关键技能。 这是为您准备考试的 10 门课程中的第七门课程,旨在帮助您获得设计和实施使用 Microsoft Azure 数据服务的数据解决方案的专业知识。Microsoft Azure 数据工程考试是一个证明您能够从不同结构化和非结构化数据系统整合、转换和合并数据,以构建使用 Microsoft Azure 数据服务的分析解决方案的机会。每门课程都教授与考试相关的概念和技能。 完成该专项课程后,您将准备好参加并注册 DP-203:数据工程在 Microsoft Azure(测试版)考试。 课程大纲: 1. 设计使用 Azure Synapse Analytics 进行混合事务和分析处理 - 描述混合事务和分析处理如何帮助您在 Azure Synapse Analytics 中执行运营分析,理解事务和处理模式、分析工作负载,以及如何设计模式和写回场景。 2. 使用 Azure Cosmos DB 配置 Azure Synapse Link - 学习如何配置和启用 Azure Synapse Link 以与 Azure Cosmos 数据库互动,包括创建 Cosmos 数据库帐户和启用分析存储的容器,实现 Synapse Link 并验证连接性。 3. 在 Azure Synapse Analytics 中查询 Azure Cosmos - 了解如何使用 Azure Synapse Link 和 Synapse Serverless SQL 对 Azure Cosmos 数据库进行分析。探索执行各种查询、使用窗口函数进行聚合,以及从事务存储中读写数据。 4. 有关使用 Azure Synapse Analytics 进行混合事务和分析处理解决方案的实践考试 - 参加实践考试,涵盖 DP-203:Microsoft Azure 数据工程考试中测量的关键技能,为 Microsoft Certified: Azure Data Engineer Associate 考试做准备。
Name:Design hybrid transactional and analytical processing using Azure Synapse Analytics
Description:After completing this module, you will be able to describe how hybrid transactional and analytical processing can help you perform operation analytics with Azure Synapse Analytics. During the module you will develop an understanding of transaction and processing patterns, analytical workloads, and learn how to design schemas and writeback scenarios.
Name:Configure Azure Synapse Link with Azure Cosmos DB
Description:In this module you will learn how to configure and enable Azure Synapse Link to interact with Azure Cosmos Database. This includes creating a Cosmos database account and an analytical store enabled container, implementing Synapse Link, and validating connectivity.
Name:Query Azure Cosmos in Azure Synapse Analytics
Description:In this module, you will learn how to perform analytics against Azure Cosmos Database using Azure Synapse Link and the Synapse Serverless SQL. During the module you will explore how to perform a range of queries, work with aggregations such as the windowing function, and read and write data to and from transactional stores.
Name:Practice exam on working with hybrid transactional and analytical processing solutions using Azure Synapse Analytics
Description:In this module, you will take a practice exam that covers key skills measured in the Exam DP-203: Data Engineering on Microsoft Azure. After completing this module, you will be able to prepare for the Microsoft Certified: Azure Data Engineer Associate exam.
In this course, you will learn how to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics. You will learn how hybrid transactional and analytical processing can help you perform operational analytics with Azure Synapse Analytics. You will also learn how to configure and enable Azure Synapse Link to interact with Azure Cosmos DB and how you can perform analytics against Azure Cosmos DB using Azure Synapse Link. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). You will take a practice exam that covers key skills measured by the certification exam. This is the seventh course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).