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Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. But is it really? Many consider the data warehouse a “black box”. Therefore, it is not clear why this costly and apparently flexibility-inhibiting data warehouse is needed at all.

A new BARC survey examined the current architecture approaches of companies of different sizes from various industries, which provided insights on how “best-in-class” companies are shaping their data architecture in comparison to “laggards”.

The survey results show that the opinions of different roles in the organization differ considerably. So, the question arises: Should future data architecture be determined more centrally from the perspective of data engineers or more decentrally from the perspective of domain experts? Or is a federated approach the best way forward?

Read the report to obtain further insights and results’ analysts, and find the right solution for the future design of your data landscape.


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Agenda

7:30 a.m.
Breakfast & Introductions

8:00 a.m.
Predictive Analytics: The Hottest Techniques and Tools
Dr. Fern Halper, TDWI VP and Senior Research Director for Advanced Analytics

8:45 a.m.
The Role of Data Virtualization in the Era of Big Data & Predictive Analytics
Thomas LaSalle, Director at Denodo

9:15 a.m.
Q&A

9:30 a.m.
Event concludes; optional networking

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Denodo is the AI data layer company. The award-winning Denodo Platform powers trustworthy agents and applications, transforming enterprise data into reliable insights for analytics and self-service. Organizations worldwide deploy Denodo alongside their data lakehouses to deliver AI-ready, business-ready data in a fraction of the time-achieving up to 4x faster time to insight, 345% ROI, and 10x better performance.
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