Fri.Aug 30, 2019

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Interview with: Jeff Healey, Senior Director of Vertica Product Marketing at Vertica

Corinium

Tell us about your experience in working with the data analytics community at Vertica? Why do y ou like working in this space?

Marketing 199
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R Users’ Salaries from the 2019 Stackoverflow Survey

KDnuggets

Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.

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Unleash business-ready data to your data citizens

IBM Big Data Hub

How much time do your data scientists and business analysts spend looking for the right data?

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Emoji Analytics

KDnuggets

Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.

Analytics 110
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to Aug 24)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Julian Sun scores his second “number 1” this year with a note about augmented analytics. This note last week scored the third largest number of downloads in any given week this year (since Feb when I started looking at the data).

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Object-oriented programming for data scientists: Build your ML estimator

KDnuggets

Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.