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The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

DataKitchen

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is “ Per Alios Culpa Transfertur ” (Blame is Transferred to Others). It’s the seasoning that makes the data world go round.

Analytics 183
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Teaching Big Data Analytics During Lockdown

Smart Data Collective

Those teaching others about big data analytics, whether in schools or seminars, have been forced to rethink how they manage lessons. With everything going online, teaching big data analytics during lockdown means making the most of digital learning solutions. It’s the unfortunate result of everyday life getting put on hold.

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Pace of Tech Demands a Smarter Learning Approach. Bring On Community-Driven Learning

CIO Business Intelligence

Some conduct ever more advanced offsite or onsite seminars and training – but these are costly, take time, and don’t adapt fast enough to incoming needs of the business and teams. At GfK , we provide consumer, market, and brand intelligence, with powerful predictive analytics. Hiring for new skills is expensive and also too slow.

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Data Ethics: Contesting Truth and Rearranging Power

Domino Data Lab

This Domino Data Science Field Note covers Chris Wiggins ‘s recent data ethics seminar at Berkeley. Chris Wiggins , Chief Data Scientist at The New York Times as well as a professor at Columbia, recently presented the seminar “What should future statisticians, CEOs, and senators know about the history and ethics of data?”

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Going Digital: Pivoting to Virtual Events

Sisense

Originally scheduled for March 22 to 26 in California, NVIDIA’s GTC was transformed into a fully virtual convention — a series of tech talks, seminars, training sessions, and workshops. We’ve all experienced virtual meetings and seminars. But there was something special about NVIDIA’s GPU Technical Conference (GTC) Digital 2020.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. Analytical. I first met Ralph in the early 1990’s while attending one of his seminars. Business Focus. Operational. Operational Tactical. Tactical Strategic. Machine Learning.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Fun fact: in the early 1980s I attended a Systems seminar by some of our department’s grad students and professors, plus their colleagues from a nearby university with bears, who presented about a thing called the “Stanford University Network” workstation. Email is a good example. Instead, they refactored their monolithic web apps (e.g.,