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Data Engineering for Data Discovery with Brian McMillan

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Manage episode 342588353 series 3400081
Content provided by Bob Haffner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bob Haffner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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/

  continue reading

25 episodes

Artwork
iconShare
 
Manage episode 342588353 series 3400081
Content provided by Bob Haffner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bob Haffner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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/

  continue reading

25 episodes

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