Modelado de datos en NoSQL

Muy buen artículo, contenido, referencias, comentarios. Chapó.

NoSQL data modeling Techniques|Highly Scalable Blog

Comments

  1. dzamoraOctober 22, 2014 at 10:59 PM

    Concerning post discussion: modelling in referential model, what answers do I have?
    From my point of view in a top-down approach it's right. You have to solve how data from my requirements can be put in that referential model and can be fine grained in differents normal forms

    ReplyDelete

Post a Comment

Popular posts from this blog

Algorithms: Fibonacci numbers, recursive and Dynamic Programing solution (C/C++)

For the Fibonnacci serie that is described like follows: Fibo(0) = 0; Fibo(1)= 1; (base cases) .... Fibo(n) = Fibo(n-1)+Fibo(n-2) Thus: Fibo(2) = 1 + 0 = 1; Fibo(3) = 1 + 1 = 2;... This code computes N term of a Fibonacci serie, using 2 algorithmic techniques: Recursive and Rec-DProgramming, it also measures performance time. fibonacci.h #ifndef FIBONACCI-NUMBER_H_INCLUDED #define FIBONACCI-NUMBER_H_INCLUDED #include #include #include using namespace std; //Fibonnacci recursive int fiboRec(int n){ if(n==0) return 0; if(n (end - start).count() =0 && second>=0) return dp[n] = first + second; else return -6; } int launcherFiboDP(int k) { //dp = (int *) calloc( k+1, sizeof(*dp)); memset(dp, -6, sizeof(dp)); int n = k; ////// auto start = chrono::steady_clock::now(); int r = fiboDP(n); auto end = chrono::steady_clock::now(); ////// cout (end - start).count() > n; cout main.h #include "fibonacci.h...
Read more

Algorithms: Backpack problem, Greedy , Dynamic Programming techniques (C++)

This example shows an OO approach to the backpack (rumsack) problem, it implements different techniques (greedy, dynamic programming), it also generates random items and backpack's capacity. backpack.h #ifndef BACKPACK_H_INCLUDED #define BACKPACK_H_INCLUDED #include #include #include #include using namespace std; //A backpack Item class Item { public: Item(double w, double b):_weight(w),_benefit(b){ if(_weight==0) throw -100; } virtual ~Item() {} void setWeight(double w) { _weight = w; } void setBenefit(double b) { _benefit = b;} double getRatio(){ return _benefit/_weight; } double _weight; double _benefit; double _ratio; }; class Backpack { public: Backpack(double mw) { _maxWeight = mw; _items = new vector ; _totBenefit = 0; _currentWeight = 0; } virtual ~Backpack() {} virtual void computeAddItems(vector &items) { //In this case we use raw algorithm double delt...
Read more

Top common mistakes of Java developers && Common mistakes in C++ (for Java developers)

Top common mistakes for Java developers Reference to the article 1: Neglecting Existing Libraries 2: Missing the ‘break’ Keyword in a Switch-Case Block 3: Forgetting to Free Resources 4: Memory Leaks 5: Excessive Garbage Allocation 6: Using Null References without Need 7: Ignoring Exceptions 8: Concurrent Modification Exception 9: Breaking Contracts 10: Using Raw Type Instead of a Parameterized One Top common mistakes for Java developers when programming C++ Reference to the article 1: Type conversion rules 2: Memory management 3: Deterministic destruction 4: Exception handling
Read more