Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
**Data Minds** are *data producers* (predominantly Data engineers) who *build infrastructure and data products* for consumption by business users or end users.
**Business minds** are *data consumers* of this made-available data that *perform analysis* to aid in business decisions or strategies.
Both of these minds view data differently based on their roles, and their view of data quality is very different, as are their measurement and observations made.
Different personas ( Data Engineers, Scientists, Data Stewards, Data Analysts, etc.) look at the same data through different lenses; however, they still need to come together and collaborate to win.
This support of various personas is foundational and critical for better business outcomes and to enable organizations to become more data-driven.
What Is Modern Data Quality?
Vanitha
The core Azure technologies used to implement data engineering workloads include:
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• Azure Stream Analytics
• Azure Data Factory
• Azure Databricks
Data engineering in Microsoft Azure - Training
wwlpublish
Here's my own [[Project Kickoff]] checklist:
1. Capture my current thinking on the project.
2. Review folders (or tags) that might contain relevant notes.
3. Search for related terms across all folders.
4. Move (or tag) relevant notes to the project folder.
5. Create an outline of collected notes and plan the project.
Building a Second Brain
Tiago Forte
...catch up on these, and many more highlights
Readwise