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A batch of the best highlights from what Kevin's read, .
we get lost in our thoughts
far more often than
we get lost in the physical world,
and since
we rarely pay attention to the direction of our thoughts,
we can get lost for long periods of time without realizing it.
The Three Rooms
Kevin Murphy
The data engineering lifecycle
shifts the conversation
away from technology and
toward the data itself and the end goals that it must serve.
The stages of the data engineering lifecycle are as follows:
• Generation • Storage • Ingestion • Transformation • Serving
Fundamentals of Data Engineering
Reis, Joe;Housley, Matt;
A knowledge graph is made up of three main components:
nodes, edges, and labels.
Any *object*, *place*, or *person* can be a **node**.
An **edge** defines the *relationship* between the nodes.
For example,
a node could be a client, like IBM, and an agency like, Ogilvy.
An edge would be categorize the relationship as a customer relationship between IBM and Ogilvy.
A represents the subject, B represents the predicate, C represents the object
What is a knowledge graph?
ibm.com
...catch up on these, and many more highlights
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