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DESCRIPTION:Click for Latest Location Information: http://edw2024.dataversi
 ty.net/sessionPop.cfm?confid=159&proposalid=15021\nData fragmentation remai
 ns a significant challenge, affecting the efficiency and reliability of dat
 a analytics in large organizations. Despite advancements in central data go
 vernance, most organizations continue to suffer from the proliferation of r
 edundant, poorly organized, and seldom-used data tables. This presentation 
 introduces a new Unified Data Layer (UDL) approach to address these challen
 ges. UDL aims to serve as a flexible, consolidated layer above existing dat
 a warehouses, designed to eliminate data silos and encourage reusability. B
 y employing a structural model inspired by Object-Oriented Programming (OOP
 ), the UDL creates a collection of source and processed views, effectively 
 serving as encapsulated units of relevant data and related operations.\n\nK
 ey Takeaways:\n\n
 The current data landscape is littered with fragmented, poorly maintained t
 ables that hinder efficient data discovery and analysis.\n
 UDL offers a modular approach to organizing and unifying data inspired by p
 rinciples derived from the evolution of programming paradigms, notably OOP.
 \n
 Implementing UDL can significantly reduce the number of ad-hoc pipelines an
 d redundant tables, thereby improving data discoverability and reusability.
 \n
 With UDL, multiple teams can contribute data related to a single entity, wh
 ich can be joined from various sources to present a comprehensive view, lea
 ding to more effective decision-making.\n
 By implementing UDL, organizations can overcome some of the most pressing c
 hallenges in data management, paving the way for a more organized, efficien
 t, and effective utilization of data assets.\n\n
DTSTART:20240327T140000
SUMMARY:Unified Data Layer - A Curated Data Access Layer
DTEND:20240327T144459
LOCATION: See Description
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