A data model is crucial for building business intelligence (BI) solutions that empower users to make data-driven decisions and identify new business opportunities. Data models are the pillars of a system and dat
In a data-driven model, data is king and is the sole basis for your decisions. Essentially, wherever the data wind blows, that’s where you go. This is an objective and scientifically based approach where the numbers dictate the direction of your marketing, recruiting, product placement, etc...
Data-driven programming is a programming model characterized by program statements that describe the data instead of a sequence of actions to follow.
UML diagrams make it easier for technical and non-technical users to understand the structure of a model. Normalization Through Unique Keys When building out relationships within a large dataset, several units of data need to be repeated to illustrate all necessary relationships. Normalization is the...
Today, there is a growing focus on hybrid models to support the diverse needs of modern data-driven businesses. Functionality and Features Data Modelling incorporates various concepts and techniques: Entity-Relationship (ER) Modeling: Representation of data in terms of entities, attributes, and ...
Data Security What is Data Security? Data security is the process of protecting corporate data and preventing data loss through unauthorized access. This includes protecting your data from attacks that can encrypt or destroy data, such as ransomware, as well as attacks that can modify or corrupt ...
From the series:Data-Driven Control Brian Douglas Get an introduction to extremum seeking control—an adaptive control method for finding an optimal control input or set of system parameters without needing a model of your system, static system dynamics, or a non-quadratic cost or objective func...
model-driven development What is model-driven development? Model-driven development (MDD) is a format to write and implement software quickly, effectively and at minimum cost. The methodology is also known as model-driven software development, model-driven engineering and model-driven architecture....
Keep in mind that not all your data will require transformation, on rare occasions, your source data can be used as is. Types of Data Transformation Various data transformation methods are employed to prepare raw data for data wrangling, analysis and model training. It’s important to note tha...
The Model-Driven Command Line Interface (MD-CLI) is a YANG-based CLI that is oriented to machine-machine and human-machine interaction. Compared with the traditional CLI, the MD-CLI features simple configuration logic, easy machine parsing, and low learning cost. ...