Getting Started with Data Management

所在平台: Udemy

课程主页: https://www.udemy.com/course/getting-started-with-data-management/

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课程名称:数据管理入门 概述:数据管理是企业最重要的竞争力之一。随着数字化转型在许多大型组织的战略议程中占据重要位置,数据治理和数据管理对于构建集成、分析、执行及整体商业价值的坚实基础至关重要。商业和数据专业人士正在面临第四次工业革命中客户360、人工智能、大数据、程序化营销和全球化的多重趋势交汇。为了在这些持续的商业压力中生存,高效利用数据变得比以往任何时候都更加重要且具战略意义。本课程将帮助您了解数据管理的各个学科。 在课程开始时,您将了解什么是数据治理以及为什么要为您的组织实施治理程序,随后进行一些基本的探索性数据分析,使用Python编程语言。接下来,您将学习基本的数据库设计、数据质量的基本要素,以及结构化查询语言(SQL)的基础知识。然后,您将进行一些简单的数据集成ETL实践,并探索与Hadoop相关的大数据概念。 最后,您将深入探讨数据管理领域的各种学科。课程结束时,您将对企业数据管理有一个坚定的理解,明白各个学科的功能和作用。

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Data Management is one of the most important competencies your company has. With Digital Transformation at the top of the strategic agenda for many large organizations, Data Governance and Data Management are vital to building a strong foundation for integration, analysis, execution, and overall business value. Business and data professionals are currently facing The Fourth Industrial Revolution's convergence of megatrends around Customer 360, Artificial Intelligence, Big Data, programmatic marketing, and globalization. To survive these unrelenting business pressures, it's more critical, and strategic, than ever to put your data to work!In this course, you will learn about the various disciplines of data management. First, you will discover what Data Governance is and why you might want to implement a governance program for your organization, after which you will go through some very basic exploratory Data Analysis using the Python programming language.Next up, you'll cover basic Database Design, Data Quality essentials, and the fundamentals of the Structured Query Language. Then, you will get hands-on with some rudimentary Data Integration ETL, as well as Big Data with Hadoop.Finally, you will explore the various disciplines in the Data Management space.By the end of the course, you will have a firm understanding of enterprise data management and what the various disciplines do.

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