SF Data Weekly - No Scrum for Data Scientists, Mining Character and Iron Viz

The author characterizes Scrum’s marketing success as the Kardashians of the software development management framework world, so it’s no surprise that she thinks it isn’t the right approach for data science project management.

Amazon Redshift Spectrum allows you to query open format data directly from an Amazon S3 data lake without having to load the data into Amazon Redshift tables. This piece explains how to build handlers to manage a number of common errors when ingesting S3 data.

A world-changing product is on the way. Changing the way e-commerce companies power their business with data integration. [Sponsored]

The author has worked at Google for the past two years, and during that time, he came to understand why Google’s approach towards managing SQL code makes a lot of sense for any SQL developer.

Craig’s year end wrap-up of 5 things you can do for a healthier Postgres database next year.

This is a two-part series on modeling character networks. Part one covers the theory, and part two covers an implementation in Python.

How DataPrep, Seaborn and SweetViz make the Exploratory Data Analysis process easier and quicker.

The 10 most important takeaways from Looker’s 2021 user conference.

Iron Viz is the Iron Chef of Tableau data visualization. This piece describes the 2022 contest’s theme and how you can be part of it.

How the author created a physical data visualization of COVID, and how she made her COVID experience part of that craft project.

Leaders from three different organizations share examples of how they created a data culture to support their data-driven companies.