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DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9476\n<p>Modern BI and analytic
 al architecture has evolved beyond traditional DW with elements such as a l
 ogical data warehouse, data lakes, distribution hub, data catalog, analytic
 al sandbox, and data science hub, along with both self-service data prepara
 tion and BI. But achieving an ROI with these approaches is fruitless withou
 t the right data and technical architectures. This workshop clarifies what 
 you need to know regarding structured, unstructured, and semi-structured da
 ta; hybrid integration and data engineering; and analytical uses by casual 
 info consumers, power users, and data scientists.</p>\n<p>Technologies incl
 ude:</p>\n\n	Databases (relational, columnar, in-memory and NoSQL)\n
 Hybrid data\n	Application and cloud integration\n	Data preparation\n
 Data virtualization\n	Descriptive\n	Diagnostic\n	Predictive\n
 Prescriptive analytics\n
 On-premise, cloud, or hybrid deployments\n\n<p><br />\nArchitecture include
 s:</p>\n\n	Data structures and workflow&nbsp;\n
 Data engineering, data integration, data preparation, and data virtualizati
 on\n	Business intelligence and advanced analytics&nbsp;\n
 Enabling technologies\n
 Enterprise information management and governance\n\n
DTSTART:20180423T133000
SUMMARY:Designing a Data Architecture for Modern Business Intelligence and 
 Analytics
DTEND:20180423T164459
LOCATION: See Description
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