Data Management tools are used to develop and monitor practices, as well as organize, process, and analyze an organization’s data. These tools are designed to arrange and harmonize data, and should provide a high degree of efficiency and effectiveness. Data Management tools also support privacy, security, and the elimination of data redundancy. Effective Data Management […]
Conceptual Data Modeling: An Examination of Trends
John Singer wonders if Conceptual Data Modeling can save IT from itself.“I definitely think that we need a bit of saving. We need a little help in terms of how we build systems, especially from a data perspective.” Singer spoke at DATAVERSITY®’s Enterprise Data World Conference, about Data Modeling, current gaps in the field, and […]
A Brief History of Data Management
Data Management is the organization of data, the steps used to achieve efficiency, and gather business intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data management has […]
Better Data Modeling with Lean Methodology
The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]
A Brief History of Data Architecture: Shifting Paradigms
Data Architecture is a set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed, and stored within a database system. Data integration, for example, is dependent on Data Architecture for instructions on the integration process. Without the shift from a programming paradigm to a Data […]
Database Management Trends in 2022
Historically, Database Management systems (DBMS) were simple software programs and associated hardware that allowed users to access data from different geographical locations. The system offers its users the ability to store data without concerns about structural changes, or the data’s physical location. Additionally, a Database Management system (DBMS) can set restrictions on the data being […]
Using a Data Lake Engine to Provide Self-Service Insights
Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers wait to receive insights. One way to skip the wait, and deliver data directly to […]
Data Governance Tools Support Data Management
Data Governance, and the tools supporting it, reflect the growing importance of “automated services” when dealing with the laws and regulations that have been developed to protect privacy and societal norms. Data Governance has become a necessity for organizations using the internet. It is a collection of rules, policies, and standards designed to improve Data […]
Property Graphs vs. Knowledge Graphs
One of the greatest strengths of graph databases is their ability to treat “relationships” between the data as being as important as the data itself. They show a visual image of a graph in response to queries. Graph databases are designed to hold data without restricting it to a fixed, predetermined model. As a consequence, […]
2021 DATAVERSITY Top 20
As 2021 draws to a close, we here at DATAVERSITY HQ want to take some time to reflect on the highlights (and lowlights) of this year. What kinds of content made you jump for joy? Which Data Management topics most helped data people succeed in and advance their careers? With in-person events on hold for […]