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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-integration-fundamentals/
课程评论：没有评论
课程名称：数据集成基础 课程概述：在当今这个数据驱动的世界中，我们的生活正快速向数字化转型，数据已成为现代经济中的关键资产。当我们在线购物、消费内容或在社交媒体上分享时，都会生成有价值的数据。许多大型科技公司现在依赖利用数据的商业模式，而这一切的实现离不开数据集成。数据集成是将原始数据转化为有价值资产的粘合剂。 在本课程中，我将重点介绍三种数据集成类型：企业间集成、应用集成和数据库集成。您将学习企业如何使用标准的EDI、XML和API进行数据交换。同时，我会解释常见的通信方法，如FTP和AS2。您还将了解应用集成的方法，包括SOAP、REST API和Webhooks。此外，我将教授您有关数据库集成技术的知识，涉及数据仓库、数据湖、流数据、提取-转换-加载（ETL）处理以及如复制等数据传播技术。 通过本课程的学习，您将获得关于数据集成如何改善商业成果的扎实理解。您将对这些技术的应用有深入了解，并能够与软件供应商、客户、供应商或您内部的IT部门就数据集成项目进行明智的交流。
It's clear that we are living in a data-driven world. Our steady transition toward highly digitized lives is making data a key asset in the modern economy. When we go online to make purchases, consume content, or share on social media, we are generating valuable data. Many of the largest tech companies are now operating on business models that depend on leveraging data. However none of that is possible without data integration. Data integration is the glue that makes it possible to convert raw data into a valuable asset.In this course, I will focus on three types of data integration: Business-to-Business Integration, Application Integration, and Database Integration. You will learn how businesses exchange data using standard EDI, XML, and APIs. I'll explain common communication methods like FTP and AS2. You'll also learn about application integration approaches including SOAP, REST APIs, and Webhooks. And I'll teach you about database integration technologies involving data warehouses, data lakes, streaming data, extract-transform-load processing, and data propagation techniques like replication.By the end of the course, you'll have a solid understanding of how data integration can be used to improve business results. You will be knowledgeable about how these techniques are applied, and will be able to intelligently speak with software vendors, customers, suppliers or your internal IT department about data integration projects.
