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DTSTAMP:20260905T150245Z
DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14560\nThis session will re
 view existing technologies and their advantages and pitfalls, including Had
 oop, data lakes, data warehouses, data marts, and more. I will cover what d
 ata lakehouses are, how they are architected, what workloads can run on the
 m or adjacent to them, and more. This session will also cover: \n\n
 The use cases that an organization can solve with data lakehouses\n
 How one can meld in brownfield environments \n
 Examples of various data store elimination strategies \n
 The simplification of the platform, including its advantages and drawbacks&
 nbsp;\n
 Examples of data ingest and egest using Spark dataframes \n\nThe solut
 ion stack examples will include popular workloads such as Kafka, Spark, NoS
 QL, Elastic, RDBMs, Delta Lake, and more.
DTSTART:20230920T144500
SUMMARY:Data Lakehouses - A Platform That Can Revitalize Your Organization
DTEND:20230920T152959
LOCATION: See Description
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