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Metadata

Highlights

While much has been said about how data teams can borrow low-level process/tooling ideas from software teams, much less has been said about what data teams can learn from the organizational principles that allow these processes to flourish (View Highlight)

This is not a problem if you consider both to be AEs

It’s a little more ambiguous with data engineering and analytics engineering. (View Highlight)

Most organizations have been convinced on the value of data in decision making (that is why you are constantly being pinged to do a “quick data pull”). The next step is to convince them of the long term value of scalable, efficient data systems (View Highlight)