Being a data architect requires a good understanding of the cloud, databases in general, and the applications and programs used to maximize their potential…
Handling Data Concerns in 2024 and Onwards
Looking back, then forward, is a traditional exercise by year-end. Which data concerns are important enough to worry about in 2024? Which of those do we stand a chance of doing something good for in 2024? Needless to say, money (budget and costs) is an issue. But even more needless to say, solving real business […]
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 […]
DAS Webinar: The Business Benefits of Data Modeling
Download the slides here>> About the Webinar Data models are key to gaining a clear view of the data that drives the business – from customers to products to invoices and more. They offer a clear, visual way for both business and technical stakeholders to communicate around the crucial business rules and definitions that drive […]
Data Modeling Trends in 2024
Expect an increase in business-driven and elegant Data Modeling – the plans, and activities around diagramming requirements for data architecture. These Data Modeling trends will gain traction as budgets for newer projects decrease and mandates to improve Data Quality increase, as resolution to each data incident has risen by 15 hours between 2022 and 2023. Stakeholders clamor for returns from AI after investing heavily, […]
SambaNova Systems Demo: Generative AI Models – Go Big or Go Home
Download the slides here>> Small Generative AI models were first introduced last November. A year out, where are we in the evolution toward Pervasive AI? Spoiler alert: big. We’re going big. What can you do with a 5 trillion parameter model? We’ll give you food for thought in a demo of SambaNova Suite. How can […]
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 […]
The Data Warehouse Development Lifecycle Explained
The desire to leverage data as a strategic asset has led to the development of sophisticated systems and methodologies that go beyond basic data storage and retrieval. Among these advancements is modern data warehousing, a comprehensive approach that provides access to vast and disparate datasets. The concept of data warehousing emerged as organizations began to […]
What Is Data Modeling? Types, Benefits, Uses
Data Modeling describes the plans and activities around diagramming data requirements for business operations across one or more systems. This blueprint defines unique data entities (such as tables, systems, concepts, and hubs) and their characteristics (such as inheritance, importance, and physical structures) along with how the data flows between entities. Organizations create or update data models anytime, depending […]
Data Provisioning: Ingest, Curate, and Publish
A collection of facts from which inferences can be made is called data. It is the basis on which factual information is derived, providing relevant results to the end users. Data is the cornerstone of contemporary society and is crucial to many facets of people’s lives. In order to gain knowledge and make wise decisions, […]