data

97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts

Contributed six chapters on tops ranging from data design, development, validation, and democratization

Embedding column-name contracts in data pipelines with dbt

dbt supercharges SQL with Jinja templating, macros, and testing -- all of which can be customized to enforce controlled vocabularies and their implied contracts on a data model

Causal design patterns for data analysts

An informal primer to causal analysis designs and data structures

Generating SQL with {dbplyr} and sqlfluff

Using the tidyverse's expressive data wrangling vocabulary as a preprocessor for elegant SQL scripts. *(Image source [techdaily.ca](https://techdaily.ca))*

Introducing the {convo} package

An R package for maintaining controlled vocabularies to encode contracts between data producers and consumers

Column Names as Contracts

Using controlled dictionaries for low-touch documentation, validation, and usability of tabular data