Gain Super Powers in Data Science: Relationship Discovery Across Public Data

What data scientists know better than anybody else is that data relationship is what matters the most. You can’t understand your data if you look at it as pieces in data silos.In this webinar we’ll showcase how to discover relationships across public data. We’ll provide you with the right data science tools, data samples and example queries, which will enable you to achieve the very same results and transfer these skills to your proprietary data sets.
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Spotlight

OTHER ON-DEMAND WEBINARS

Data extraction from documents: template-based or AI-based

In companies today, numerous documents are in circulation. Yet the data inside needs to be captured so it can be used for further processing. Just think about how the Finance team needs access to data in invoices. Or how the market analytics department needs access to utility bill data to perform market research. Brokers who need to retrieve data from purchase orders, IT departments that require data extraction as a part of a paperless workflow. The list goes on.
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How to Use data.world to Solve for Common Data Engineering Use Cases

When evaluating a data catalog, every data engineer wants to know one thing: “What’s in it for me?” In this live demo, Mo Dodge answers that question and highlights several high-value use cases data.world solves for:
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Visualizing Geospatial Data at Scale

Arcadiadata

Geospatial data is everywhere today. Your mapping capabilities need to handle the growing volumes of “big data” to deliver location-based insights at any level. Large-scale mapping use cases require a scalable and real-time visualization platform that enables self-service analysis. End users need a fast, interactive system that can immediately display any view of their data on demand.
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Building a Skills Database and Driving Training Results

A brief 20 minute webinar to learn about the importance of validating skills in training platforms, skill profiles and what they can/can’t tell you, and how to use skill reporting to make better hiring decisions.
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