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所在平台: Udemy |
课程主页: https://www.udemy.com/course/qlik-sense-big-data-strategies-for-enterprise-deployments/
课程评论：没有评论
课程名称：Qlik Sense与大数据：企业部署策略 课程概述：许多项目的失败并非源于开发者不掌握Qlik Sense中的图表函数或脚本命令，而是由于项目的ETL（提取、转换、加载）策略与开发环境不匹配，例如数据库连接速度过慢、数据集过大、仪表盘刷新时间过长。随着数据集的增长，整个ETL过程可能需要重新设计。该培训将帮助您将Qlik知识与大数据的ETL策略结合起来，并介绍ODAG（按需应用生成）和动态视图的使用。 课程分为三个部分：第一部分是介绍大数据的概念及其与Qlik的关系；第二部分将从零开始创建不同场景的项目，学习离线数据和数据库数据源的复杂策略，重点讨论分区处理；第三部分是对ODAG和动态视图功能的全面介绍，这些功能专门用于帮助开发者分析大量数据。 培训中提供的所有示例都可以下载，如有任何问题，您也可以通过电子邮件与我联系课程内容。
Most of the times when projects fail, they don't fail because a developer didn't know a chart function or a script command in Qlik Sense.They usually fail because the project's ETL strategy is not aligned to the environment in which the project is developed: database connections are too slow, datasets are too big, dashboard refresh time is too long.When datasets grow larger the whole ETL process might need to be redesigned to tackle this.In this training you will complement your Qlik knowledge with ETL strategies on Big Data and the use of ODAG and Dynamic Views.The course is split into three parts:The first part is an introduction on what Big Data is and how Qlik relates to Big Data.In the second part we will create projects from scratch for different scenarios of extraction, transformation and data load. You will learn some complex strategies on both offline data and database data sources, and the main focus would be on partition processing.The last part of the training is an extensive presentation of ODAG and Dynamic Views functionalities, as they were introduced specially to help developers tackle analysis of large amounts of data.All the examples presented in the training are downloadable and also you can email me regarding the course content in case you have questions.
