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Data lakes have been both praised and loathed. They can be incredibly useful to an organization, but it can also be the source of major headaches. Its ease to scale storage with minimal cost has opened the door to many new solutions, but also to a proliferation of runaway objects that have coined the term data swamp.
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Alberto Pan, CTO (Denodo Technologies) und Philip Moston, Principal Consultant für Data & Analytics (QuinScape), sprechen über den Umgang mit komplexen Datenlandschaften, in denen Unternehmen trotz vieler unterschiedlicher Datenquellen oder Anwendungen eine einheitliche Sicht auf Daten benötigen.
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Public sector statistics face rapid transformation due to evolving needs, technological advances and data complexity. In this webinar, our speakers will discuss some of the common challenges in this sector:
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Join this session to learn why AI will be necessary for any modern data infrastructure, how AI will influence federated learning within any organization, and how prepared your organization is for this AI wave.
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Public sector statistics face rapid transformation due to evolving needs, technological advances and data complexity. In this webinar, our speakers will discuss some of the common challenges in this sector:
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Semantics has been a topic often associated with academia with little impact in the analytics world. However, that tendency is starting to change, fueled by self-service and data democratization initiatives that broaden the scope of who’s accessing data and what those users expect.
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Public sector statistics face rapid transformation due to evolving needs, technological advances and data complexity. In this webinar, our speakers will discuss some of the common challenges in this sector:
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Join us for a webinar based on TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, where we will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report.
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The cloud is no longer the future; the cloud is now. Companies continue to shift their workloads and data to the cloud to leverage the speed, agility, and efficient scalability the cloud offers. As a result, there is increasing attention given to cloud-based data warehouses, data lakes, and lake houses as a way for organizations to simplify managing their ever-increasing volumes of data.
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