With the use of codespaces and my website coming along, I plan to take a different approach to this content. While it is on hold for now, I will revisit it as a series of codespaces that can be worked through to help develop core DE skills, using the codespaces and online data sources as a way to easily integrate the practices on any machine from anywhere in a seamless way.
If anyone is interested in helping me make this kind of content available, please feel free to ping me here. I welcome the support!
What does it mean to be a full stack data engineer? Like a full stack developer handles both backend and frontend development for a website, a full stack engineer is precisely somebody that develops for a data plaform from data collection to its consumption.
This training material will cover this in 4 sections.
- Data collection, tools, and pipelines
- Storage systems and data modeling
- Algorithms for analytics and dimensional modeling
- Data consumption, reporting, and dashboarding
We will use a number of large data sets throughout this build. If you cannot use the full referenced data set, a sample amount will be included here. Simply copy it to your data folder and proceed accordingly.
Brent Ozar has a 10 GB (1 GB download) at https://downloads.brentozar.com/StackOverflow2010.7z
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent