I feel like articles written by the referenced author are extremely bias and have no real value to add to the discussion. The guy is basically arguing over semantics like...

• This reply was modified 4 years, 5 months ago by  xsevensinzx.
• This reply was modified 4 years, 5 months ago by  xsevensinzx.

I mean, there are many other uses in other industries for sure. I had an interview with a wood pellet company for alternative fuel. They wanted to explore using ML...

It's nice to see someone that's eyeballs deep in it in a good way.  With that in mind, I'm incredibly curious as to what questions you're using ML to answer.

Well,...

• This reply was modified 4 years, 5 months ago by  xsevensinzx.
• This reply was modified 4 years, 5 months ago by  xsevensinzx.
• This reply was modified 4 years, 5 months ago by  xsevensinzx.

I've been highly inactive for like a year it seems, but here is my input.

I am still 100% invested in Azure Data Warehouse and Azure Data Lake Store with Azure...

I specifically work as the data architect for the analytics & data science team. I am that technical resource responsible for making the data happen for the team to use....

Sounds like you have huge bottlenecks somewhere. I download compressed 1GB files that are more than 20 million rows where I'm able to unzip, re-encode to a new file, and...

I tell most people I am a software engineer. If they ask specifically, I tell them I am a data architect and then explain what that is to me and...

So, I'm a huge gaming nerd. I failed out of high school because I cared more about playing online games than school work.

I didn't have Minecraft in the late 90's...

It's often hard to do it right the first time. A lot of the large projects I've worked on where hundred million dollar online video games where getting it right...

I mean, I often take the approach mentioned here so I can just INSERT new datasets of both new and existing values. The same applies for the data lake. The...

Think it has more to do with the fact our methodologies with the traditional RDBMS is slow, not the tech itself in most cases that are not Google-like companies. In...

Well, partitioning by date is good if your queries take advance of the partition keys. In your case, that would be queries that filter on date. It's also good to...