SF Data Weekly - Data Science and the NBA, Ditching Git and Lessons Learned

Step-by-step create an ML App to predict the next best player transfer, using data from NBA API, with source code included. I don’t want to spoil it, but their model worked pretty well!

When all else fails, you need to scrape a website. This is the first in a series of post showing how to use scrappy and splash to extract data from websites.

What is change data capture, and how is CDC used in e-commerce? This article answers these questions and more. [Sponsored]

The custom SQL connector for Power BI allows Snowflake users to use the full power of Snowflake from within the familiar Power BI environment.

By using the Redshift API, you can avoid managing drivers, connections, network configurations, data buffering and credentials. And you can still run SQL.

Robert argues that analytics should prioritize discoverability and reproducibility, not version control and code review.

A humorous and practical accounting of one data scientist’s learning curve after escaping grad school.

This piece has some very sophisticated 3D plots with code examples in R.

Spanish nonprofit Cesefor has created a unique forestry data visualization system called Nemus, using AnyChart to create nine different styles of visualization.

The Data Visualization Society would like your input on the state of the industry – here’s your chance to be heard by filling out their online questionnaire.

How Uber used Fargate, a serverless compute engine, to ingest S3 files and store them in Redis, an in-memory database, for real-time data visualization/monitoring.

MOIA, a ride-pooling company in Germany, collects data from their app and pushed it into their data lake. MOIA makes extensive use of Apache Airflow top push operational data from their app into Lake Formation, including governance controls.