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The following German prepositions always take an accusative:
• *bis* – “until, up to, as far as”
• *durch* – “through, by means of”
• *für* – “for”
• *ohne* – “without”
• *gegen* – “against, toward”
• *um* – “around, for”
• *entlang* – “along”
German Prepositions – The Ultimate Guide (with Charts)
George Julian
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;
We live in a cancerous economy, one that regularly rewards those that can abstract as much value from labor with as little participation or value of the actual work product as possible.
The rot will continue until the markets realize that a company cannot grow forever, and we societally reevaluate how we value a business.
Absentee Capitalism
Ed Zitron
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