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DTSTAMP:20260511T031901Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9549\n<p>In this presentation, 
 we will explore the difficulties in ensuring transactional data integrity b
 etween internal systems or between enterprises. We propose using Data Hub t
 o achieve data quality (especially integrity) without impacting business ag
 ility. There are existing commercially available data exchanging tools (EAI
 , ETL, etc.) which have basic functionality such as guaranteed message deli
 very and attribute mapping. However,&nbsp;those are not enough to ensure da
 ta integrity.</p>\n<p>In construction or manufacturing design industries, s
 ome business domains and systems proceed in parallel. This is known as conc
 urrent engineering. To achieve total data integrity in such cases, it is ne
 cessary to have not only basic data exchange functionality, but also consid
 eration must be paid to characteristics of business data.<br />\n<br />\nTh
 is presentation will cover the following points:</p>\n\n
 Basic requirements of data exchange\n
 How to rectify business data: Primary/Secondary, revision, cutoff\n
 How to validate data: Strict or lenient\n
 How to exchange data between different contexts: Attribute/Code Mapping\n\n
 <p>&nbsp;</p>\n
DTSTART:20180424T101500
SUMMARY:Case Study: How to Orchestrate/Integrate Enterprise Transactional D
 ata Using Data Hub 
DTEND:20180424T111459
LOCATION: See Description
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