SF Data Weekly - Henri Aftermath, Fishing and Cognitive Load

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.

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.

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}

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.

Three ways AWS customers unnecessarily pad Jeff Bezos’ bank account with expensive database costs, but it does not need to be this way.

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.

Discussing the main differences between prediction and inference in the context of Statistical or Machine Learning.

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.

How Airbnb was able to consolidate small, lightweight Airflow tasks into bigger centralized tasks to decrease costs and increase stability.

Four quite different paths to a full-time job on the Facebook Data Science team.