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 […]
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 […]
Data Modeling Trends in 2022
A data model should show the relationships that exist between various customers, concepts, products, among many. Data Modeling describes the creation of a visual representation (a chart or diagram) of a data system, or parts of that system. It is used to display and communicate connections between objects/concepts and shows their relationships. The goal of […]
Advances in Data Architecture
The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, […]
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 […]
The Future of Data Engineering
A Data Engineering Guide reveals that while people often rely on the work of data engineers — depending on Siri for quick solutions or being enchanted by custom recommendations or promos — they often do not realize that these advanced tools can provide accurate results only because of the hard work put in by data […]
Cloud Computing Trends in 2022
The global business environment has recently changed in many ways, from the pandemic to international supply chains issues and so many others, how we work and shop will likely never be the same. As a consequence, acceptance and use of cloud computing technologies has accelerated significantly – with eCommerce and working remotely as two cultural […]
Data Architect vs. Data Engineer
Data careers are becoming increasingly important and popular all across the globe, simply because “data” is the new currency of the data economy. The Pandemic gave the needed push to accelerate the digital transformation of global businesses, and currently, the primary market differentiator is an enterprise’s data infrastructure readiness. This data infrastructure comprises systems, processes, […]
Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data
Solving business problems using big data depends upon the approach taken. For example, if an organization only knows data warehouses, then challenges will be framed to fit using a data warehouse. As Abraham Maslow, a prominent psychologist eloquently said “I suppose it is tempting, if the only tool you have is a hammer, to treat […]