MongoDB’s Aggregation Pipeline: make your life easier… or at least less difficult

The following is from Avinash Kaza’s article: Business Intelligence Platform: Tutorial Using MongoDB Aggregation Pipeline Found here:  https://www.toptal.com/mongodb/business-intelligence-platform-using-mongodb-aggregation-pipeline _______________________________________ Using data to answer interesting questions is what researchers are busy doing in today’s data driven world. Given huge volumes of data, the challenge of processing and analyzing it is a big one; particularly for statisticians orContinue reading “MongoDB’s Aggregation Pipeline: make your life easier… or at least less difficult”

SQL vs NoSQL. Part Three.

In previous posts I talked about SQL and NoSQL, and I want to go into a little more detail (while keeping it simple) what makes them different. Scalability>>> Think making big things small. In SQL data is stored vertically (so typically all on one server- expensive!).  NoSQL stores it horizontally (many servers==ok). Schema>>> Technically schemaContinue reading “SQL vs NoSQL. Part Three.”

Delving into the world of MongoDB

Today I played with Mongo DB a bit,  and am planning on building some things in the next week. It was a busy day so I didn’t accomplish much so far. I’m using Udacity’s Data Wrangling with MongoDB. It’s the first course I’ve taken on their platform, so I’ll write a little review afterwards. That’sContinue reading “Delving into the world of MongoDB”