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, […]
How to Become a Data Modeler
There is always a need for data modelers. However, the job description of this career field varies, depending on the needs of the organization. For example, if you become a data modeler working for a startup, you might coordinate with data scientists and data architects in designing a new system – one that includes the […]
Generative AI and Semantic Compliance
Only CPT and its peers know how many statements have been made based on results from generative AI. But there are loads of them. My background as a data modeler over many years makes me shiver a little bit, because what the friendly AI helpers help us produce is subjected to cognitive processes, where we, the readers, process […]
Data-Ed Webinar: Conceptual vs. Logical vs. Physical Data Modeling
Download the slides here>> About the Webinar A model is developed for a purpose. Understanding the strengths of each of the three Data Modeling types will prepare you with a more robust analyst toolkit. The program will describe modeling characteristics shared by each modeling type. Delegates will be able to trace model components as […]