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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/azure-data-lake-storage-gen2-and-data-streaming-solution
课程评论：没有评论
课程名称：Azure Data Lake Storage Gen2 和数据流解决方案 课程概述： 在本课程中，您将了解如何通过 Azure Data Lake Storage 提高大数据分析解决方案的处理效率，以及设置的简便性。您将探索它在常见架构中的作用，以及将数据上传到数据存储的不同方法。此外，您将研究众多安全特性，以确保您的数据安全。课程将教授事件处理和数据流的相关概念，以及这些如何适用于 Azure Stream Analytics。您将设置一个流分析作业以进行数据流处理，并学习如何管理和监控正在运行的作业。 本课程是一个专业化课程的一部分，面向希望展示其设计和实施数据解决方案能力的数据工程师和开发人员，并为希望准备 DP-203：Microsoft Azure 数据工程考试（测试版）的人士而设。您将参加一个模拟考试，以覆盖认证考试所测量的关键技能。 这是一个包含十门课程的项目中的第九门课程，旨在帮助您为考试做好准备，使您具备设计和实施使用 Microsoft Azure 数据服务的数据解决方案的专业知识。Microsoft Azure 数据工程考试提供证明您在将来自各种结构化和非结构化数据系统的数据集成、转换和整合到适合构建分析解决方案的结构中的知识专长的机会。每门课程教授考试所测量的概念和技能。 在完成本专业化课程后，您将准备好参加 DP-203：Microsoft Azure 数据工程考试（测试版）。 课程大纲： 1. Azure Data Lake Storage 介绍：您将学习 Azure Data Lake Storage 如何提供高可用性、安全性、耐用性、可扩展性和冗余的云存储服务，为大数据分析工作负载带来新的效率。 2. 保护您的 Azure 存储帐户 介绍：您将学习 Azure 存储提供的多层安全性，以保护您的数据。了解如何使用访问密钥、保护网络以及使用高级威胁防护主动监控您的系统。 3. 使用 Azure Stream Analytics 介绍：您将学习事件处理和数据流的概念，以及这些如何应用于 Azure Stream Analytics。接着，您将设置流分析作业来流式处理数据，并学习如何管理和监控正在运行的作业。 4. Azure Data Lake Storage Gen2 和数据流解决方案的模拟考试 介绍：在此模块中，您将参加一个模拟考试，涵盖 DP-203：Microsoft Azure 数据工程考试所测量的关键技能。
Name:Azure Data Lake Storage
Description:In this module, you will learn how Azure Data Lake Storage provides a cloud storage service that is highly available, secure, durable, scalable, and redundant and brings new efficiencies to processing big data analytics workloads.
Name:Secure your Azure Storage account
Description:In this module, you will learn how Azure Storage provides multilayered security to protect your data. Find out how to use access keys, to secure networks, and to use Advanced Threat Protection to proactively monitor your system.
Name:Use Azure Stream Analytics
Description:In this module, you will learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.
Name:Practice Exam on Azure Data Lake Storage Gen2 and Data Streaming Solution
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.
In this course, you will see how Azure Data Lake Storage can make processing Big Data analytical solutions more efficient and how easy it is to set up. You will also explore how it fits into common architectures, as well as the different methods of uploading the data to the data store. You will examine the myriad of security features that will ensure your data is secure. Learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job. 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 ninth 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).
