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DTSTAMP:20260905T143817Z
DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14536\nThis introductory se
 ssion discusses many issues to be considered when importing data from sourc
 es you don’t control - especially where the semantics and architectur
 e of the source are different from your internal target. All along the way 
 are issues of data quality, meaning, integration, and proper management.&nb
 sp;  \n\nWe will review a broad range of data behaviors and problems t
 o test for at all levels of the architecture. These quality tests can 
 be performed with the most simple reporting tools you probably already have
 ; however, unwarranted assumptions can spell trouble. Such import also
  requires political sensitivities in maintaining a good relationship with y
 our source. \n\nAttendees will learn: \n\n
 The many potential pitfalls of importing data from external sources\n
 Basic techniques for evaluating the quality of acquired data\n
 Ensuring quality and consistency in subsequent flows\n
 Issues to consider when integrating imported data with internal data wareho
 uses\n\n
DTSTART:20230920T134500
SUMMARY:Assuring Quality and Success When Importing External Data
DTEND:20230920T142959
LOCATION: See Description
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