All Hands on Data #12
With back to school time upon us, take a deep breath and enjoy these articles from our team
Critical Data vs Sensitive Data
This brief post makes a distinction between sensitive and critical data - the former being things like personally identifiable information for your users and the latter being stuff like application configuration files. While the former can impact your business reputation the latter can bring down your entire service. - John Forstmeier
The Origins, Purpose, and Practice of Data Observability
The best part of the article is the initial history lesson - it provides a great foundation and visual into what engineers are trying to accomplish in the digital space. How we attempt to control increasing data entropy was my first introduction to the four data observability pillars. - Eric Elsken
Best Practices For SQL Query Optimizations
SQL is still one of the most utilized tools for data scientists. So, it doesn't hurt to get a refresher about the different ways to optimize your queries. This post provides some helpful reminders and additional resources to deepen your SQL knowledge. - Katt Baum
Data Mesh --”A Data Movement and Processing Platform @ Netflix
A piece by the Netflix technology team digs into an architecture they're pursuing to support their streaming data called Data Mesh. Essentially, they're focusing on producing a product that goes beyond the initial goal of change data capture to providing a comprehensive, flexible, and responsive platform for moving and transforming data. Allowing users to rapidly build and manage data pipelines is an increasingly important focus for enterprises large and small. - John Forstmeier
I Trained a Model What is Next
Kaggle is a resource that data scientist use around the world to help source data sources. They provided an article on what to do after to do after you train your model which can be tough especially for people who are new to the data science field. - Steven Johnson
Building Modern Data Teams
Amplify Partners put together a fantastic resource to help data teams learn how to be more effective. Explore high quality articles related to Data Quality, Team Strategy, and more. - Blake Burch