SF Data Weekly - Medium Myths, Stock Analysis and Flame Graphs

A look at the author’s journey using Medium, using a fact-based approach to bust some myths about how to get noticed on that platform.

Airflow DAG runs generate a lot of logs–here’s a simple piece on how to get rid of that bloat.

Are you looking to speed up your data integration projects? Here’s how implementing citizen integrators can help. [Sponsored]

The implementation details behind Softserve’s use of Google Cloud to improve retail investing with the Investment Products Recommendation Engine (IPRE).

How to set up a connection from a private Compute Engine VM to a private Cloud SQL instance using the mysqlsh command line tool.

How to create K’s Candlestick Chart in Python to help understand stock movements.

This article introduces the concept of causal inference, applied to the Brexit vote, using both statistical methods and Vertex AutoML.

How to organize your code repository to make it useful to everyone on your team.

How Twitter’s Observability team applied Flame graphs to a novel use case (internal use of their time series database) outside of this visualization’s typical application.

Using the simple Redshift CREATE ML capability to create predictive analytics to predict future drug costs.

How Uber reduced cost while maintaining capability for their big data infrastructure.