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October 8 · Issue #210 · View online |
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This week’s pick is a piece looking at changes in human behavior caused by Hurricane Henri. We also have a non-profit’s model of fishing behavior in the sea, and a look at how to tailor the cognitive load of your visualization to your audience. Stay healthy!
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Hurricane Henri: a Data Story. Analyzing visitor data fluctuations due… | by Pranav Thaenraj | Sep, 2021 | Medium
Hurricane Henri was a category 1 hurricane that caused heavy destruction across the east coast in August of 2021. This piece shows how to use a Point of Interest (POI) database to analyze how the hurricane changed visitor behavior.
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Liberating your mainframe data with Confluent and Google Cloud
On-premises mainframe databases often lock up data in a legacy platform. This piece describes how that data can be sent to the cloud using Confluent.
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PostgreSQL to Amazon Redshift: 4 Ways to Replicate Your Data | FlyData
FlyData has the fasted change data capture (CDC) on the market. Get real time data insights and updates so you don’t miss important changes to your data. [Sponsored}
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Simplify your data analysis with Amazon Redshift Query Editor v2 | Amazon Web Services
The new version of Amazon’s Redshift Query Editor includes the ability to visualize queries using charts, and to collaborate by sharing queries with members of your team.
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You are Overpaying Jeff Bezos for Your Databases (and the things he does with that extra money) | OtterTune.com
Three ways AWS customers unnecessarily pad Jeff Bezos’ bank account with expensive database costs, but it does not need to be this way.
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People and Planet AI: How to build a Time Series Model to classify fishing activities in the sea | Google Cloud Blog
How Global Fishing Watch built a time-series classification app that includes latitude and longitudinal fishing data, in order to enable fair and sustainable use of our oceans.
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What Is The Difference Between Inference and Prediction | Towards Data Science
Discussing the main differences between prediction and inference in the context of Statistical or Machine Learning.
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JupyterLab is now available as a Desktop App - Here’s how to use it
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Cognitive Load as a Guide: 12 Spectrums to Improve Your Data Visualizations | Nightingale
Four spectrums along three different measures of cognitive load that will help you tailor your data visualization to the capabilities and bandwidth of your target audience.
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The Airflow Smart Sensor Service. Consolidating long-running, lightweight… | by Yingbo Wang | The Airbnb Tech Blog | Sep, 2021 | Medium
How Airbnb was able to consolidate small, lightweight Airflow tasks into bigger centralized tasks to decrease costs and increase stability.
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From intern to FTE: Four researchers share their journeys with the Facebook Core Data Science team - Facebook Research
Four quite different paths to a full-time job on the Facebook Data Science team.
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