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 Mesh vs. Data Lake: Which Is Better for Your Business?
In a data-driven business climate, data is playing a key role in capturing market intelligence and “actionable insights” to augment business operations. Thus, Data Management platforms, tools, and associated technologies are increasingly getting a global focus. Two Data Management technologies have created controversies and have become the topic of hot debates: the data lake and […]
Case Study: New Innovations in IoT Technologies for Manufacturers
Manufacturers want to save money, conserve energy, and reduce greenhouse gas emissions, but it’s a challenge to see where and when energy use is occurring. When the utility bill arrives, a manufacturer can see how much total energy was used, but energy use is not broken down on a machine-by-machine basis. Invisible energy use hides […]
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 […]
Artificial Intelligence Developments
During the long pandemic, the global population have consistently turned to artificial intelligence-powered technologies for their daily needs. Be it chat bots for uninterrupted customer service, drones for food and medicine delivery during a crisis, or mitigation of growing cyber attacks at the roots—AI has had a solution. As AI increasingly makes machines smarter, human […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Aligning Data Architecture and Data Strategy
Peter Aiken disagrees with the popular idea that it’s impossible to put a dollar value on Data Architecture. “It won’t be the right number, but it will be at least a dollar value on it, and if there’s money involved, people should be paying attention to it.” Aiken is an author, Professor of Information Systems, […]
Advances in Data Warehouses
Data warehouses have advanced in the past few years, adding multiple enhancements and new capabilities. A data warehouse stores business data from a variety of applications and databases. It acts as a single repository, which an organization can access with BI (business intelligence) and analytics tools, before making decisions. A data warehouse provides faster processing […]
Case Study: A Digital Transformation Success Story
In the years since COVID-19 hit and swiftly shut down most in person experiences, the wellness industry had to quickly adapt to a new way of life. While this has given businesses the opportunity to reach new customers beyond their traditional four walls – owners and managers needed to learn and embrace new technologies to […]
Fundamentals of Digital Twins
Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities. With digital twins, industry operators can visualize, predict, and optimize the performance of individual components within a system or process, or the entire process from a remote location. According to Microsoft, […]