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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql
课程评论：没有评论
课程名称：管理集群和云存储中的大数据 课程概述：本课程将教您如何管理大数据集，如何将其加载到集群和云存储中，以及如何为数据应用结构，以便使用分布式SQL引擎（如Apache Hive和Apache Impala）对其进行查询。您将学习如何根据所使用的工具和所需的性能选择合适的数据类型、存储系统和文件格式。 课程结束时，您将能够： - 使用不同的工具浏览大数据系统中的现有数据库和表； - 使用不同的工具探索分布式大数据文件系统和云存储中的文件； - 使用Apache Hive和Apache Impala创建和管理大数据数据库和表； - 描述和选择适合大数据系统的不同数据类型和文件格式。 要使用本课程的动手环境，您需要下载和安装虚拟机及其运行所需的软件。在继续之前，请确保您的计算机符合以下硬件和软件要求： - Windows、macOS或Linux操作系统（iPad和Android平板电脑不支持） - 64位操作系统（32位操作系统不支持） - 8GB或更多RAM - 25GB或更多空闲磁盘空间 - 启用Intel VT-x或AMD-V虚拟化支持（对于配备Intel处理器的Mac电脑，该功能始终启用；对于Windows和Linux电脑，可能需要在BIOS中启用） - 对于Windows XP电脑：必须安装7-Zip或WinZip等解压缩实用程序（Windows XP自带的解压缩工具无法使用） 课程大纲： 1. 数据在集群和云存储中的简介 2. 定义数据库、表和列 3. 数据类型和文件类型 4. 在集群和云存储中管理数据集 5. 优化Hive和Impala（荣誉课程，选修） 本课程为希望掌握大数据管理技能的学习者提供了全面的训练和实践机会，适合希望深入了解大数据环境的从业人员。
Name:Orientation to Data in Clusters and Cloud Storage
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Name:Defining Databases, Tables, and Columns
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Name:Data Types and File Types
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Name:Managing Datasets in Clusters and Cloud Storage
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Name:Optimizing Hive and Impala (Honors)
Description:Honors (Optional)
In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need. By the end of the course, you will be able to • use different tools to browse existing databases and tables in big data systems; • use different tools to explore files in distributed big data filesystems and cloud storage; • create and manage big data databases and tables using Apache Hive and Apache Impala; and • describe and choose among different data types and file formats for big data systems. To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements: • Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)
