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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-engineering-with-ms-azure-synapse-apache-spark-pools
课程评论：没有评论
课程名称：使用MS Azure Synapse Apache Spark Pools的数据工程 课程概述：在本课程中，您将学习如何利用Azure Synapse Apache Spark Pools进行数据工程，这能够通过内存集群计算提升大数据分析应用程序的性能。您将了解Apache Spark、Azure Databricks、HDInsight和SQL池之间的区别，以及在Azure Synapse Analytics中使用Apache Spark进行数据工程的应用场景。课程还将教授您如何在Azure Synapse Analytics中使用Apache Spark Notebooks进行数据摄取，以及如何在Apache Spark Pools中利用DataFrames进行数据转换。同时，您将学习如何在Azure Synapse Analytics中集成SQL和Apache Spark池，并监控和管理数据工程工作负载。 此课程是一个专业化课程的一部分，旨在为希望展示在使用Microsoft Azure数据服务方面设计和实施数据解决方案的专家，以及希望为DP-203：Microsoft Azure上的数据工程（beta）考试做好准备的人员提供帮助。您将进行一场包含证书考试的关键技能的模拟测试。 这门课是10门课程项目中的第六门，旨在帮助您准备参加考试，以便在使用Microsoft Azure数据服务设计和实施数据解决方案方面具备专业知识。参加Microsoft Azure上的数据工程考试是证明您在从各种结构化和非结构化数据系统中集成、转换和整合数据方面的知识和专业技能的机会，为构建基于Microsoft Azure数据服务的分析解决方案提供适用的数据结构。每门课程教授的概念和技能均是证书考试的测评内容。 完成该专业化课程后，您将准备好报名参加DP-203：Microsoft Azure上的数据工程（beta）考试。 课程大纲： 1. 大数据工程 - 在这个模块中，您将学习如何区分Apache Spark、Azure Databricks、HDInsight和SQL池。此外，您还将学习如何在Azure Synapse Analytics中使用Apache Spark Notebooks进行数据摄取，以及如何在Apache Spark Pools中利用DataFrames进行数据转换。 2. 在Azure Synapse Analytics中查询池并管理工作负载 - 学习如何在Azure Synapse Analytics中集成SQL和Apache Spark池，并监控和管理Apache Spark的数据工程工作负载。 3. 使用Azure Synapse Apache Spark Pools进行数据工程的模拟考试 - 针对使用Azure Synapse Apache Spark Pools进行数据工程的模拟考试。
Name:Big Data Engineering
Description:In this module you will learn how to differentiate between Apache Spark, Azure Databricks, HDInsight, and SQL Pools. You will also learn how to ingest data using Apache Spark Notebooks in Azure Synapse Analytics and transform data using DataFrames in Apache Spark Pools in Azure Synapse Analytics
Name:Query pools and manage workloads in Azure Synapse Analytics
Description:Integrate SQL and Apach Spark pools in Azure Synapse Analytics Monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics
Name:Practice Exam on Perform data engineering with Azure Synapse Apache Spark Pools
Description:Practice Exam on Perform data engineering with Azure Synapse Apache Spark Pools
In this course, you will learn how to perform data engineering with Azure Synapse Apache Spark Pools, which enable you to boost the performance of big-data analytic applications by in-memory cluster computing. You will learn how to differentiate between Apache Spark, Azure Databricks, HDInsight, and SQL Pools and understand the use-cases of data-engineering with Apache Spark in Azure Synapse Analytics. You will also learn how to ingest data using Apache Spark Notebooks in Azure Synapse Analytics and transform data using DataFrames in Apache Spark Pools in Azure Synapse Analytics. You will integrate SQL and Apache Spark pools in Azure Synapse Analytics. You will also learn how to monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics. 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 sixth 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).
