What's in your coffee cup?
I pulled my own shots of espresso for the first time and it went terribly - nothing would come out besides steam from the machine.
I pulled my own shots of espresso for the first time and it went terribly - nothing would come out besides steam from the machine.
If your problem does not include building a real-time, big data pipeline then I don't want anything to do with it...
For most organizations, data is not oil. Data is not water. Data is bumper to bumper traffic.
Your company's approach to developing analytics is likely a game of Jenga.
It took me under an hour to create my own chatbot powered by my friendly neighborhood Large Language Model.
The barrier of entry is so low that it feels inevitable that the number of chatbots will proliferate. A chatbot will become another common interface just like a website or mobile app.
So how could this affect hiring?
What can high school physics teach you about starting something new?
Dust off your textbooks folks!
The Modern Data Stack may be a misnomer.
The set of recent data tooling is more complex, more sprawling, and more abstract than anything that came before it.
As I handwash the pots and pans from dinner, the crud falls out and is caught by a mesh guard. This prevents food from clogging the main pipes yet still allows draining in the sink to occur - a simple yet effective preventive mechanism.
But happens when the guard fills up and the sink can no longer drain?
Pretend you are a fresh (or pimply) faced high school student visting a college campus. You are encouraged to join a tour, as it is the recommended way to get a "feel" for the place.
You are a new member of the Data team and you are on your first rotation in answering ad-hoc questions from the business. How do you approach the following request?