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/