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Cloud Computing Trends in 2024

In 2024, the trends of cloud computing will be influenced by increasing cloud costs and the expanding use of advanced AI (such as ChatGPT). Businesses continue to move their operations to the cloud, with the goals of becoming more efficient and improving their customers’ experiences. Organizations will continue to use cloud services as a way […]

Data Architecture Trends in 2024

Data Architecture, the corporate infrastructure connecting business and data strategies, will face competing priorities in 2024. On the one hand, nearly half of organizations will gravitate toward modernizing their data architectures to increase operational real-time analytics and enable AI and ML (machine learning) capabilities. Simultaneously, with concerns about AI impacts, about 80% will prioritize security and Data Governance in […]

2023 DATAVERSITY Top 20

As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data […]

Database Management Trends in 2024

Trends in database management for 2024 have taken several different directions, ranging from cloud-based DBMSs (database management systems) to augmented DBMSs to self-driving DBMSs (which are quite different from self-driving cars). The use of cloud-supported database management systems is one of the most obvious trends.  Another broad noteworthy trend is the use of multiple databases. […]

Fundamentals of Cloud Governance

Understanding the fundamentals of cloud governance can help in developing an efficient strategy for an organization working in a cloud environment. Cloud governance involves developing rules and procedures for its members in an effort to minimize costs, promote productivity, enhance security, and support smooth operations within the cloud.  Cloud governance focuses on establishing the processes […]

Conceptual vs. Logical vs. Physical Data Modeling

Businesses face lightning-fast and massive data growth “at a time when analytical capabilities cannot even come close to meeting them,” said Dr. Peter Aiken at his recent Data-Ed webinar, “Conceptual vs. Logical vs. Physical Data Modeling.” An acknowledged Data Management authority and president of DAMA International, Aiken explained that a lack of understanding and documentation of a company’s Data […]

Data Observability Use Cases

“Data observability” can be described as the practice of monitoring the “health and state” of data pipelines in your system. This practice encompasses some technologies and activities that enable business operators to identify, examine, and solve data-related problems in near real time. Though organizations rely heavily on accurate and reliable data to make informed decisions, […]