Data Engineering for Data Discovery with Brian McMillan

Brian McMillan and Bob Haffner talk about Data Engineering for Data Discovery  

#data #dataengineering #elt #etl #analysticsengineering 

Connect with Brian 

Like to discuss this further? First 5 people to schedule a meeting with me and receive a free copy of the book (https://calendly.com/building-data-products).  

Purchase the book: https://www.minimumviablearchitecture.com   

Brian McMillan – Brian [at] minimumviablearchitecture.com 

Twitter – @brianmcmillan01 

LinkedIn – linkedin.com/in/brianmcmillan01 

GitHub – https://github.com/brianmcmillan/intro_to_data_and_analytics_engineering

Schedule a discussion – https://www.minimumviablearchitecture.com/contact.html 

The Book: Building Data Products: Introduction to Data and Analytics Engineering for non-programmers – https://www.minimumviablearchitecture.com  

Full Length Demo - https://www.youtube.com/watch?v=xLjQhz1KJoQ&t=4s 

Connect with Bob 

Twitter - @bobhaffner 

LinkedIn - linkedin.com/in/bobhaffner   

Links: 3X - Kent Beck – https://www.youtube.com/watch?v=FlJN6_4yI2A

Why Use Make (Mike Bostock) – https://bost.ocks.org/mike/make/

SQLite – https://www.sqlite.org/index.htm, https://blog.wesleyac.com/posts/consider-sqlite

Building Production Applications Using Go & SQLite – https://www.youtube.com/watch?v=XcAYkriuQ1o) 

CSVkit – https://csvkit.readthedocs.io/en/latest/

SQLite-Utils – https://sqlite-utils.datasette.io/en/stable/

Datasette – https://datasette.io

Vega Lite –https://vega.github.io/vega-lite/