Denise G.

Paco N. the pleasure is all mine, really. One of my core passions is anything graph tech related. I have a feeling we are at the beginning of a long and fun journey! Looking forward to linking back up when I get back from my sabbatical in August 😄

Thank you!

I will! So stoked!

John Cabral happy to help! I am taking a sabbatical 🤩 starting tomorrow 🎉 until August 10th. I would love to help, but I will probably be pretty absent from slack universes. send me a note on twitter @denisekgosnell if you want to keep the convo going! Happy graphing!

Hey John Cabral! Great question. I am doing data engineering right now 😆 for a new project that is a knowledge graph which we are feeding into an ML process TBH - I find the range of data engineering to be the same as any type of data set.

That is to say: I don't have any differences in the type of data engineering work I have to do. For the data science / ML modeling part of this type of work, the shape of the data is different. Therefore, the features I am looking for require different data science (networkX, graph algorithms, etc). That doesn't come into play until the modeling section - not the data engineering part.

You’re very welcome!

Additionally: For the business question above, I would recommend building up to it with the following sequence of smaller questions: Understanding recommendations with a sample of one: 1. What is my set of regional offices? Pick one office. 2. Which customers visit that office? Pick one customer. 3. Which other offices does that customer visit, excluding the original office? Done: this is a set of offices similar to the first office according to one customer. Now, let’s expand the same idea to use all offices and all customers: 1. What is my set of regional offices? Put them in a set. 2. Which customers visit any of these offices? Put them in another set. 3. Which other offices are visited by this set of customers, excluding the original set of offices? Done: this is a set of offices similar to the regional offices according to their customers. You can repeat this line of thinking for other concepts like projects, deliveries, etc. I hope this helps! Thank you for the question.

Veronika Haderlein-Høgberg hello 👋! I’m so glad you are finding parts of my book to be helpful. I agree that an improvement would be to start with a business oriented question and break it down before going so heavy into the graph concepts. Have you started chapter 10? We cover the business concepts of recommendations and break it down into smaller questions. But, instead of businesses, we use movies. I’m going to be speaking at the KG conference. Maybe this would be a good topic to cover? I would love your input. Thank you!