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#Volunteer Spotlight: Remus Lim

Cloudera

We thoroughly enjoyed learning about Remus’ passion and connection to CCF, the details of his upcoming journey and most of all ways we as Clouderans can support his fundraising efforts for this important cause. Tell us a bit about this journey – what will you be doing? What will a “typical day” look like?

Sales 88
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Speeding Up Your Data Viz (& Preventing Future Injuries) Using Custom Commands in Dragon

Depict Data Studio

Andrew Forsman is a Depict Data Studio student and self-described “data viz nerd” who has over 10 years of experience helping organizations plan for, execute, and learn from research and evaluations. They’re here this week sharing time-saving tips on using a voice command and dictation software called Dragon to help with data viz.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

What are your thoughts on a data mesh vs. data fabric in large heterogeneous environments? But in general I believe our tam would suggest that a data mesh is like a data fabric but without the self-learning add. Perhaps a data mesh is what a pure architecture might design. Again, I’d check with Mark Beyer.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

The stakes for this output are higher when we are in front of the Senior Leadership of any company, we have but a few minutes to communicate what we have to. The stakes for this output are higher when we are in front of the Senior Leadership of any company, we have but a few minutes to communicate what we have to. simplification and 2.

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Facebook Advertising / Marketing: Best Metrics, ROI, Business Value

Occam's Razor

This blog post is about the above recommendations, and their merit. There are two valuable lessons we can learn from the above story. Facebook has an incredible audience, 950 million strong and counting. This audience is immensely attractive to Brands and Marketers around the world. Here's a summary of the case study presented: 1.

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Smarter Data Analysis of Google's https (not provided) change: 5 Steps

Occam's Razor

The wonderful thing is that in addition to passionate commentary on Twittersphere / industry blogs / gurus, we also have access to data for our own websites. Here's what the data for this blog looks like for one month: Like me first you should compute the high level impact of the change. Sadly we don't have that now.

Metrics 136
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AI Product Management After Deployment

O'Reilly on Data

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. New features in an existing product often follow a similar progression.