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/

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