Homepage
Open in app
Data Architect
Sign in
Get started
Tagged in
Data Science
Data Architect
How do you go from data in the wild to something that is useful for business purposes? Simple insights from data engineering can make your life as an analyst easier and your work more productive.
More information
Followers
56
More, on Medium
Data Science
Miklós Koren
in
Data Architect
Apr 9, 2019
A Love Letter to Make
Make is 43 this year and it is still my tool of choice to automate my data…
Read more…
90
Miklós Koren
in
Data Architect
Apr 2, 2019
Wish I Could Be Like David Watts
Read more…
43
Miklós Koren
in
Data Architect
Mar 21, 2019
Regression Testing for Regressions
How do different samples, data cleaning methods, feature…
Read more…
113
1 response
Miklós Koren
in
Data Architect
Mar 12, 2019
Choose Great Keys
Keys should human readable, not just machine readable.
Read more…
86
1 response
Miklós Koren
in
Data Architect
Mar 5, 2019
Reproducible Data Wrangling
For the movements of “reproducible research” and “open data” to really…
Read more…
34
Miklós Koren
in
Data Architect
Feb 18, 2019
Spells
Find a model that fits your data as it is. Don’t torture your data to conform to models you…
Read more…
Miklós Koren
in
Data Architect
Feb 13, 2019
Everything is a Function
Procedural programming comes natural to scientists, because it reads like a…
Read more…
4
Miklós Koren
in
Data Architect
Feb 5, 2019
The Five Stages of Data
Much as with the five stages of grief, you have to go through all the stages…
Read more…
2
Miklós Koren
in
Data Architect
Jan 14, 2019
Semantic Versioning for Data Products
Semantic versioning lets you communicate your promises…
Read more…
24
1 response