BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260314T081415Z
DESCRIPTION:Click for Latest Location Information: http://edw2020.dataversi
 ty.net/sessionPop.cfm?confid=128&proposalid=11962\n<p>As companies ingest m
 ore data, the challenge of integrating it becomes increasingly more complex
 .&nbsp;This is because data is now distributed across multiple applications
  and multiple types of data stored both on-premises, in one or more clouds,
 &nbsp;and even at the edge. Some of this data is also becoming too big to m
 ove.&nbsp;This makes data harder to access and integrate.</p>\n<p>This tuto
 rial looks to address this issue by introducing data virtualization and sho
 ws why this technology is now a key component of any information architectu
 re. It also looks at how it enables the creation of a logical data warehous
 e. It discusses what data virtualization is, how it works, and the benefits
  it brings, as well as products and suppliers in the data virtualization ma
 rketplace. It explores best practices in setting up data virtualization, su
 ch as creating multiple layers to provide more abstraction, data independen
 ce,&nbsp;and agility, as well as how you can use it to simplify access to d
 ata, increase agility,&nbsp;and reduce time to time value.</p>\n\n
 Introduction to data virtualization\n	How does data virtualization work?\n
 Popular data virtualization use cases to maximise business value\n
 Business glossaries and data virtualization &ndash; creating a common seman
 tic layer\n	Managing performance through in-memory data caching\n
 Implementing layers of virtual tables to increase agility\n
 Enabling agile data warehouse development using data virtualization\n
 Modernizing your data warehouse by moving to virtual data marts instead of 
 physical ones\n	The power of virtual data sources\n
 Using data virtualization in a big data architecture\n
 Simplifying data access across data center,&nbsp;multiple clouds, and the e
 dge\n
 Creating a logical data warehouse across multiple analytical data stores\n
 Serving up virtual data assets from an enterprise data marketplace\n
 Building an information services layer using data virtualization\n\n
DTSTART:20200323T133000
SUMMARY:PM7: Modernizing Your Data Architecture with Data Virtualization
DTEND:20200323T164459
LOCATION: See Description
END:VEVENT
END:VCALENDAR