Introduction to Static Memory Allocation Firstly, Static Memory Allocation is performed during the compilation stage. Moreover, in this allocation we declare variables statically. Compiler decides the extent of storage which...
Author - Drishti Patel
Firstly, Online Analytical Processing is a process which provides software tools for analysis of data for business insights and decisions. Moreover, this system allows us to analyze database information from multiple sources...
Firstly, as we know, Data Warehousing is the concept of constructing and storing data in a data warehouse. Secondly, it collects and manages data from various sources to analyze the data and gain meaningful business...
Firstly, in Parallel Computing, multiple processors communicate with each other using a shared memory. Secondly, in distributed computing, multiple processors are in connection by a communication network. Let us take a look at...
Firstly, Heuristic Search Techniques are the informed search techniques in AI. These techniques find an optimal solution for the problem. Moreover, there are four types of Heuristic Search techniques. Some of its techniques...
Introduction to MVC architecture Firstly, MVC architecture stands for Model, View and Controller. Moreover, Let us learn in brief about this architecture. Model : Firstly, Model will represent the shape of the data...
Firstly, Binary Tree is a kind of Data Structure that contain maximum of two children i.e left child and right child. Let us take a look at some of its properties. Nodes in Binary Tree Root node : A first node or the...
Introduction to Store Procedures Firstly, one or more DML operations on Database are used to create Store Procedures. Secondly, it is a collection of SQL statements which accepts input in form of parameters. Moreover, store...
Firstly, Ensemble Methods is an machine learning method which combines various models to produce one optimal predictive model. Moreover, the main principle of ensemble methods is to combine weak and strong learners to form strong...
Introduction to Support Vector System As we know, Support Vector System is a supervise learning way and a machine learning algorithm. Moreover, we can use it for classification and regression problems. Certainly, it is an...