BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20260308T035841Z DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi ty.net/sessionPop.cfm?confid=126&proposalid=10270\n

Attendees of this tal k will learn about a new approach to data integration based on a new softwa re product called LeapAnalysis, built on an underlying methodology we call Big Analysis. Big Analysis combines both statistics-based Data Science and logic-based Semantic Metadata. This approach overcomes the issues of d ata warehouses (heavy ETL - extract, transform, load) that is costly and ti me-consuming) and the issues of Data Lakes (schema-on-read makes data acces s and extraction hard). Instead, LeapAnalysis is a true federated data plat form, where disparate data sources can remain isolated and no copying or in tegration steps are required in order to run search and analysis. Inst ead, data sources are integrated via a virtualized metadata layer. Machine learning and semantic mapping are used in combination to extract schemas di rectly off of data sources and a translator engine can run portions of quer ies natively inside of each data source directly, leaving a very small foot print.

\n\n This talk is for managers, IT people, developers, and subject matter expert s\n Conceptual overview of the value the tool offers (key differentiators)\n Methodologies it is built upon\n Technical discussion of key features and implementation architecture\n Select real-world use cases (with results) from customers in different indu stries\n\n DTSTART:20190319T154500 SUMMARY:Embracing Your Disconnected Data Silos With LeapAnalysis: A New App roach to Virtualized Data Integration for Enterprise Applications DTEND:20190319T164459 LOCATION: See Description END:VEVENT END:VCALENDAR