Data Cleansing with Data Quality Services (DQS)

开始时间: 04/22/2022 持续时间: 4 weeks

所在平台: EdxArchive 课程类别: 其他类别 大学或机构: Microsoft 授课老师： Peter Myers Cari Mason Joey Chemis Oliver Engels Tillmann Eitelberg

课程主页: https://www.edx.org/archive/data-cleansing-data-quality-services-dqs-microsoft-dat218x-0

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课程详情

Is your data messy? Do you need to learn how to clean it up? In this computer science course, we will discuss the discipline of Data Quality Assurance and Data Quality Services (DQS). You will learn why your data needs cleansing, the capabilities and features of DQS, what a DQS solution looks likes and how data cleansing integrates with an Integration Services (SSIS) data flow. We will demonstrate a variety of critical data quality activities such as knowledge discovery, domain management, matching policies for the de-duplication of data, and administration topics covering installation, configuration and security.

课程大纲

• The discipline of Data Quality Assurance
• SQL Server DQS capabilities and features
• Creating DQS solutions
• The SSIS DQS Cleansing component
• Matching Policies and Projects
• Administering DQS

COURSE UPDATE: As of March 31, 2017 the Azure Data Market (ADM) will be retired, and topics discussing Reference Data Services will be removed from this latest course update. No changes will be made to previous course instances.

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