Data, by itself, is just data. But put data in context—that’s when it becomes useful information. Robert Seiner, while speaking at the DATAVERSITY® Enterprise Data Governance Online Conference, said that what provides that context is metadata: “Data plus metadata equals the information that our organizations need to use to be successful.” Seiner is President and […]
Artificial Intelligence Augments Data Management
Artificial intelligence (AI) is now everywhere in Data Management, BI, and Data Science software, according to Mike Ferguson, Managing Director of Intelligent Business Strategies. The AI field is still young and will continue to get better as increased adoption of AI enables data and analytics software to predict, automate, and optimize, thus shortening time to […]
Establishing Data Governance as a Service
Although Data Governance has been a hot topic for a long time, companies are still struggling to get value from their governance programs. The astounding number of tools available on the market have potential, but organizations often have trouble leveraging those tools for the most value. As data continues to become more complex and voluminous, […]
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 […]
Updating Data Governance: Set Up a Cohesive Plan First
Enterprises are taking Data Governance—planning and programming to control and secure data—more seriously. In a recent DATAVERSITY® Trends in Data Management Report, 76 percent of organizations have a Data Governance program in place or such a plan for the future. This makes sense as companies focus more on security and business growth. Data breaches have […]
A Brief History of Cloud Computing
In 1963, DARPA (the Defense Advanced Research Projects Agency) presented MIT with $2 million for Project MAC. The funding included a requirement for MIT to develop technology allowing for a “computer to be used by two or more people, simultaneously.” In this case, one of those gigantic, archaic computers using reels of magnetic tape for […]
Impact of Data Quality on Big Data Management
As the available industry literature suggests, Data Quality (DQ) is seriously hindering the success of many big data projects. However, it is apparent that without an organized movement in favor of Data Quality for big data, nothing will actually happen to change the current scenario. In an interview with the CEO of Informatica, Anil Chakravarthy, […]
A Plan for Developing a Working Data Strategy Scorecard
A Data Strategy isn’t a “one and done” activity. It’s an ongoing program, built around measurable business goals, that provides a means to identify and refine deliverables on a regular basis. As business needs change, it must evolve, focusing on components where investment is practical. An initial Data Strategy shouldn’t include everything: aiming for “good […]
Data Governance, Data Leadership or Data Architecture: What Matters Most?
Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture. Initially planning to play the theme from “Rocky” as they emerged from backstage wearing capes, these two heavy hitters instead battled it […]