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23 Sep 2021Ended

Accelerate Self-Service Analytics with Data Virtualization

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Estimated Turnout

upto 100
Delegates
Based on previous editions

Editions

Sep 2021
+2 more editions

Frequency

Quarterly
Next edition likely in Dec 2021
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There’s a growing number of large-scale enterprises that need to perform targeted data analytics on multiple data sources. The integration of data .. Read more from multiple sources is a challenging task. Data virtualization presents a modern approach to data integration. Unlike ETL solutions that replicate data, data virtualization leaves the data in source systems, simply exposing an integrated view of all the data to data consumers. Data virtualization proves that connecting to data is far superior to collecting it. And data virtualization can perform data integration seamlessly with such BI tools as Tableau, PowerBI and IBM Cognos® Analytics. Data virtualization creates virtual tables to join data from different data sources, then allows running queries against the resulting virtual table.

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