Remove 2011 Remove Data Quality Remove Testing Remove Visualization
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Automating Model Risk Compliance: Model Validation

DataRobot Blog

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. Not only does this include reviewing the assumptions in selecting the input features and data, it also requires analyzing the model’s behavior over a variety of input values.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Without further ado, let’s begin.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Known as the person who coined the term Lambda Architecture, co-author Nathan Marz is a well-renowned expert in the field of big data and programming. 17) Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, by Bart Baesens. is one of the greatest on the market.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. Companies are building data infrastructure in the cloud: 85% indicated they have data infrastructure in at least one cloud provider. Seriously, Ben gets credit for foresight on how to organize those surveys.

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers. Showpad migrated over 70 dashboards with over 1,000 visuals. Each of these tools were getting data from a different place, and that’s where it gets difficult,” says Jeroen Minnaert, head of data at Showpad. “If