News
One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.
Designing a data model that supports the reporting and analytical functions is no different, initially, than any other modeling effort. Understanding the data is crucial. The data architect or modeler ...
Over the past decade, firms have taken the plunge to become data driven. They have amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many, a strong, data ...
Learn Power BI basics in this beginner tutorial. Master the interface, connect data sources, clean data, and build your first data model.
Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.
Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.
A logical data model should be used as the blueprint for designing and creating a physical database. But the physical database cannot be created properly with a simple logical to physical mapping.
Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.
Creating a financial model for your business may seem straightforward. However, it is actually a tedious never-ending exercise. Companies are expected to produce these quarterly.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results