Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
Example 4:
"ADHDers have a heightened sense of justice."
Trauma response.
When you’ve gotten the short end of the stick most of your life, and had to struggle while others seemingly coasted, you tend to have a keener eye for injustice.
(Or you become jaded and uncaring.)
🧵
Brendan Mahan ADHD & Neurodivergent Coach
When You’re Reaching Out to a Stranger You Admire
Perhaps it’s someone who works in a relevant department at your dream company. Or, maybe it’s that experienced professional who has a stellar reputation in your field. Either way, you’re eager to establish some sort of connection with this person that you respect—even though you’ve never actually met.
*Hello [Name],*
*I hope you’re having a great week!*
*My name is [Your name], and I work as [Position] at [Company]. I became familiar with your work when [how you discovered this person] and wanted to reach out to tell you how much I admire your [skill or specific experience].*
*If you’re open to it, I’d love to [grab coffee/connect on LinkedIn/other opportunity to get to know each other] to [keep in touch/learn more about your experience].*
*Really looking forward to keeping in touch, [Name]!*
*Best,*
*[Your name]*
4 Email Templates to Make Networking Way Less Awkward
Kat Boogaard
When we unpack the common threads of how various people define data engineering, an obvious pattern emerges:
a **data engineer**
*gets data, stores it, and prepares it for consumption*
by **data scientists**, **analysts**, and others.
We define data engineering and data engineer as follows:
**Data engineering** is
the *development*, *implementation*, and *maintenance*
of **systems** and **processes** that take in raw data
and produce high-quality, consistent information
that supports downstream use cases,
such as analysis and machine learning.
**Data engineering** is
the intersection of
*security*,
*data management*,
*DataOps*,
*data architecture*,
*orchestration*, and
*software engineering*.
A **data engineer**
*manages the data engineering lifecycle*,
beginning with getting data from source systems and
ending with serving data for use cases,
such as analysis or machine learning.
Fundamentals of Data Engineering
Reis, Joe;Housley, Matt;
...catch up on these, and many more highlights
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