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所在平台: Udemy |
课程主页: https://www.udemy.com/course/every-data-architecture-is-the-same/
课程评论：没有评论
课程名称：Every (big) data architecture is the same 课程概述： 本课程是 Udemy 上唯一的关于数据架构的课程。我们将一起构建一个大数据架构蓝图，涵盖您在任何数据架构中可能遇到和需要的所有组件，并重点讲解如何将这些组件连接起来。我们将自顶向下地详细讨论蓝图中的每个组件及其相互作用，始终保持全局视野。课程还将探讨数据网格（data mesh）的概念，以及如何利用我们的大数据架构蓝图实现数据网格设置，而无需额外的要求。通过分析各种不同的用例，我们将展示该蓝图在不同业务场景下的应用，证明其核心组件在真实世界中的作用。 课程学习内容： * 如何搭建任何数据架构 * 学习一个可以添加到您工具箱中的数据架构设计蓝图 * 理解数据网格是什么，以及何时（不）使用它 * 将数据架构蓝图应用到真实用例中，使其适用于任何场景 * 了解掌握数据架构蓝图后的进阶方向 课程不包含内容： 本课程不会深入探讨各种具体的工具和框架，例如 Spark、Hadoop 或 NoSQL。如果您想了解不同场景下的工具选择，请学习其他课程。
This is the only data architecture course on Udemy!In this course we will venture together to work out a data architecture blueprint. This blueprint will exhaustively contain all the components you will ever see and need in any data archtitecture and - perhaps even more importantly so - how to link those components together.We'll talk extensively about every component part of the blueprint and how they interact with one another in a top-down fashion so that we always keep the full picture in mind. We'll learn how data mesh fits in and that we can realize a data mesh setup without any additonal requirements using our data architecture blueprint.Obviously the proof is in the pudding, so we will look at vastly different use cases to see how the data architecture blueprint can be applied to real-life scenarios where business settings are always different but the same key components always play their role.In this course you will learn:- How to set up any data architecture- Learn of a blueprint that you can add to your toolbox as a key ingredient to design data architectures- What a data mesh is and when (not) to use it- Translate the data architecure blueprint to real-life use cases to make it work in any setting- Where to move on from hereon out once you've gotten to know the data architecture blueprintNext to know what this course does tell you, it is also important to realize what it does not tell you. In this course we will not talk extensively about all sorts of tools and frameworks that exist that can do one thing or another. This is not a Spark/Hadoop/NoSQL tutorial. If you are interested in learning what tools work well in which scenarios, please follow my other courses.
