The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact-checking and Data Governance, and, as a consequence, make decisions that give them an advantage. […]
Why Total Cost of Ownership Is a Critical Metric in High-Availability Databases
In the world of data management, the focus often zeroes in on the performance, scalability, and reliability of database systems. Total cost of ownership (TCO) is a crucial aspect that should hold equal – if not more – importance. TCO isn’t just a financial metric; it’s a comprehensive assessment that can significantly impact a business’s […]
Types of Database Management Systems
A database management system (DBMS) is software designed to develop and manage the data stored in databases. A database is a collection of organized data, normally stored electronically within a computer. The database management system organizes the data and allows a person to access, manage, and alter it. It also supports and controls additional compatible […]
The Power of Graph Databases to Detect Fraud
Graph databases play a key role in fraud detection within intricate, complex networks, helping security teams keep pace with modern fraud techniques that are becoming increasingly more sophisticated. Graph databases can identify patterns and relationships in big data, reducing the level of complexity so that detection algorithms can effectively discover fraud attempts within a network. […]
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 […]
What Kinds of Data Languages Will We Need in the Future?
IBM had a pole position on the Database Management Systems (DBMS) market by developing “DL/I” in the 1960s as a means for defining and using hierarchical databases. Under the product names of DL/I and IMS (Information Management System) this dominated the database market for many years. Everybody, except for IBM followers, called the product “D-L-1,” […]
The Rise of Open-Source Databases: What You Need to Know
Click to learn more about author Kevin Kline. Tech pros must balance productivity with cost and complexity every day, and those who work with database platforms are further challenged as open-source databases become more commonplace. Additional complications range from the transition to remote work to the rising demand for data processing, compliance with GDPR, and […]
Information Definitions are More than Operational Context
Click to learn more about author David Schlesinger. Moving information recording from paper to electrons was a disruptive change, much like the change in written documents moving from stone to papyrus. This modern transformation is creating a labyrinth of new Data Governance issues, myriad incorrect assumptions, unnecessary procedures, rivers of external rules, conflicting internal policies, and […]