One of my friends is working as an exchangeable student researcher at Harvard University. He has ever told us the activities in his class at this top honors university. Everything in the lesson will have to connect to the current issues and relate to other disciplines.
Originally posted on Jon Negroni:
Several months ago, I watched a fun-filled video on Cracked.com that introduced the idea (at least to me) that all of the Pixar movies actually exist within the same universe. Since then, I’ve obsessed over this concept, working to complete what I call “The Pixar Theory,” a working narrative that ties all of the Pixar movies into one cohesive timeline with a main theme.
This theory covers every Pixar production since Toy Story. That includes:
- A Bug’s Life
- Toy Story 2
- Monsters Inc.
- Finding Nemo
- The Incredibles
- Toy Story 3
- Cars 2
- Monsters University
These maps are really useful for studying about our world.
Originally posted on TwistedSifter:
If you’re a visual learner like myself, then you know maps, charts and infographics can really help bring data and information to life. Maps can make a point resonate with readers and this collection aims to do just that.
Hopefully some of these maps will surprise you and you’ll learn something new. A few are important to know, some interpret and display data in a beautiful or creative way, and a few may even make you chuckle or shake your head.
Utils of Ubuntu OS
Code in python
NoSQL Data Modeling Techniques
Originally posted on Highly Scalable Blog:
NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This aspect of NoSQL is well-studied both in practice and theory because specific non-functional properties are often the main justification for NoSQL usage and fundamental results on distributed systems like the CAP theorem apply well to NoSQL systems. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques.
I would like to thank Daniel Kirkdorffer who reviewed the article and cleaned up the grammar.
To explore data modeling techniques, we have to start with a more or less systematic view of NoSQL data models that preferably reveals trends and interconnections. The following figure depicts imaginary “evolution” of the major NoSQL system families, namely, Key-Value stores, BigTable-style databases, Document databases, Full Text Search Engines, and Graph databases: