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A Brief History of Database Management

A database management system (DBMS) allows a person to organize, store, and retrieve data from a computer. It is a way of communicating with a computer’s “stored memory.” In the very early years of computers, “punch cards” were used for input, output, and data storage. Punch cards offered a fast way to enter data and […]

A Brief History of Data Silos

The original purpose of a data silo was to keep secrets. People have been keeping secrets for a long, long time. Prior to the written word, keeping a secret meant not sharing specific information with anyone else, verbally. And then came the written word. Secrets could be shared accidentally, or even stolen. Life became more […]

Seeing the Database Through a Different Lens

Click to learn more about author Greg Nist. I was frustrated. I’d spent two-and-a-half years as a consultant developing software for a state government agency, and I felt like we were running on a treadmill. Our ability to drive the agency forward to more effectively run its operations was being constrained. Constrained not by the […]

Graph Databases in the Spotlight

Graph databases are distinguished by relationships. Users can query, for example, the connections that relate a customer to an account that he or she owns, or how many degrees of separation exist between Kevin Bacon and Audrey Hepburn. Ontologies are a key underpinning, providing a data model to describe things in a database. Metadata and […]

How to Design Schema for Your NoSQL Database?

Click to learn more about author Akshay Pore. In my previous blogs I outlined a framework to perform a fit analysis for choosing the right NoSQL database for your application: NoSQL Data Architecture & Data Governance: Everything You Need to Know How to Choose the Right NoSQL Database for Your Application? After choosing a NoSQL database, […]

Data Architecture Trends in 2019

A primary concern of digital businesses today is the reliability of data. Many business users are still judging the ultimate value of data-guided analytics with a certain degree of skepticism, which can only change over time with delivery of solid benefits. The reliability of business data comes from a well-designed and well implemented Data Architecture. […]