Exploring Google BigQuery with the R tidyverse
In this post we’ll explore options in R for querying Google BigQuery using dplyr and dbplyr.
Blog Posts
Here we share new things we’ve learned and think you’ll hopefully find useful. Lately, we’ve been learning more about our new favorite data warehouse platform Snowflake, optimization in Julia and probabilistic programming in PyMC3.
What are you excited about? Let us know!
2020
Multi-level Modeling in RStan and brms (and the Mysteries of Log-Odds)
In this post we’ll take another look at logistic regression, and in particular multi-level (or hierarchical) logistic regression in RStan brms.
Blue-Green Data Warehouse Deployments (Write-Audit-Publish) with BigQuery and dbt
How to implement the Write-Audit-Publish (WAP) pattern using dbt on BigQuery
Updated: How to Backup Snowflake Data - GCS Edition
Updated Post: How to backup a Snowflake database to S3 or GCS, contributed by Taylor Murphy
Bayesian Methods for Modeling Field Goals in NFL Football
In this post, we’ll model field goal attempts in NFL football using Bayesian Methods.
What We’re Reading - 01/09/2020
What We’re Reading - 01/09/2020: articles and posts we enjoyed
2019
The Blog in Review - 2019
The Blog in Review - 2019
What We’re Reading - 12/27/2019
What We’re Reading - 12/27/2019: articles and posts we enjoyed
What We’re Reading - Week of 12/20/2019
What We’re Reading - Week of 12/20/2019: articles and posts we enjoyed
Introducing the nfl-dbt repo
Introducing the nfl-dbt repo: dbt analytical models for NFL play-by-play data
What We’re Reading - Week of 12/16/2019
What We’re Reading - Week of 12/16/2019: articles and posts we enjoyed
Bayesian Modeling of NFL Football Fourth Down Attempts with PyMC3
In this post, we’ll model a key NFL football stat, Fourth Down Attempts, using Bayesian Modeling and PyMC3.
What We’re Reading - Week of 12/09/2019
What We’re Reading - Week of 12/09/2019: articles and posts we enjoyed
What We’re Reading - Week of 12/02/2019
What We’re Reading - Week of 12/02/2019: articles and posts we enjoyed
What We’re Reading - Week of 11/25/2019
What We’re Reading - Week of 11/25/2019: articles and posts we enjoyed
How to Backup Snowflake Data to S3 or GCS
How to backup a Snowflake database to S3 or GCS.
Bulk-loading data from pandas DataFrames to Snowflake
We examine how to bulk-load the contents of a pandas DataFrame to a Snowflake table using the copy command.
Setting up a data pipeline using Snowflake’s Snowpipes in ‘10 Easy Steps’
We take a closer look at setting up a data pipeline for file-based data sources using Snowflake’s powerful Snowpipes feature.
Multi-Warehouse eCommerce Order Fulfillment, Pt. 1
We look at how we can use Powersets, Combinations and Permutations to calculate the number of ways we can split products in an order across multiple warehous...
2018
Parsing Nested JSON Dictionaries in SQL - Snowflake Edition
How to parse nested dictionaries in Snowflake table columns using SQL
Dice, Polls & Dirichlet Multinomials
We explore a few applications of the Dirichlet Multinomial distribution using PyMC3.
Creating a 4-5-4 Retail Calendar using SQL and dbt
Using SQL and dbt, we create a date dimension table using a retail/merchandising calendar known as a 4-5-4 calendar.
Solving a Production Problem using Linear Programming in Julia - 2 Ways
We try to solve a plant production example problem using linear programming with Julia using two different formulations.
Random Sampling Within Groups using SQL
How to randomly select rows within a subset or group of your data using SQL
SQL Window Functions to Pass a Data Analytics Interview (Opinionated SQL Series Part 2/N)
An opinionated introduction to ‘advanced’ SQL for data warehouse platforms, such as Redshift, Snowflake and Teradata, Part 2 of N
An Opinionated Introduction to Data Warehouse Query Strategies, Part 1 of N
An opinionated introduction to query strategies for data warehouse platforms, such as Redshift, Snowflake and Teradata
Confidence Intervals, when no real mathematicians are looking - Tableau Edition
How to calculate approximations of confidence intervals for proportions & probabilities in Tableau
Confidence Intervals in SQL, when no real mathematicians are looking
How to calculate approximations of confidence intervals for proportions & probabilities in SQL
Tableau Redshift to Snowflake Converter
Working with clients on migrating their Tableau dashboards from Redshift to Snowflake, I ended up writing this little helper in Python that does much of the ...
JuliaCon 2018
We’ll be at JuliaCon 2018 from August 7th to 11th in London to learn more about this exciting language and community. Let us know if you’ll be there - we’d l...
A Warehouse Allocation Example using Julia
We solve a textbook optimization example involving planning multiple warehouse locations using Julia
Wedding Table Assignment Problem using Julia
A Julia port from Python of the Wedding Table Assignment example from PuLP.