Data Modeling creates a visual representation of a data system as a whole or as parts of it. The goal is to communicate the kinds of data being used and saved within the system. A data model should also show the data’s relationships, how the data can be organized, and the formats used. A data model can […]
Primary Data Modeling Techniques
Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the […]
The Business Glossary and Automated Metadata Tools
Automated metadata tools can be used to develop and build business glossaries, graphs, and data catalogs. By eliminating the human factor, metadata errors can be minimized and tasks accomplished much more quickly. Business glossaries act as the foundation for a shared and common language. Automated metadata tools can cut down on the amount of time […]
How to Become a Data Engineer
In 2020, an estimated 64.2 zettabytes of data were generated globally, and by 2025, that number is expected to rise to 180 zettabytes. Considering these figures, it’s no surprise that data professionals are in high demand. Those who know how to create the Data Architecture to manage this data are the most in demand – […]
Data Modeling and Data Models: Not Just for Database Design
“The main purpose of a data model is actually not to design a database—it’s to describe a business,” said Christopher Bradley, information strategist at DMA Advisors. Bradley spoke at the DATAVERSITY® Data Architecture Online conference about the purpose of Data Modeling and its role in Data Governance and the modern successful business. Big Data: Are […]
The Future of Database Management Systems
As the amount of data generated globally grows exponentially, data-driven businesses are increasingly turning to more innovative database management systems to store, manage, and process all that data. This article provides an overview of database management, how it has evolved – especially during the COVID-19 pandemic – and the future of database management systems. What Is […]
Measuring Data Consistency
Measuring data consistency can tell a researcher how valuable and useful their data is. However, the term “data consistency” can be confusing. There are three versions of it. When the term is applied to databases, it describes data consistency within the database. When used with computing strategies, data consistency is focused on the use of […]
Data Modeling Tools
Data Modeling tools assist in creating a data model. Data Modeling was initially the process of creating a framework within a database that allowed data to be stored and researched using the data’s relationships. However, the term “Data Modeling” has expanded to include software engineering. A well-designed database (or app) makes the system more efficient, reduces […]
Databases vs. Hadoop vs. Cloud Storage
How can an organization thrive in the 2020s, a changing and confusing time with significant Data Management demands and platform options such as data warehouses, Hadoop, and the cloud? Trying to save money by bandaging and using the same old Data Architecture ends up pushing data uphill, making it harder to use. Rethinking data usage, storage, and computation is […]
Graph Databases: An Overview
The concept of graph databases traces back to Leonhard Euler. Euler was an 18th century Swiss mathematician who made several important discoveries in mathematics, such as infinitesimal calculus. In solving the “Seven Bridges of Königsberg” problem in 1736, Euler laid the foundations for graph theory. (He also got a fun shout-out in Hidden Figures when […]