Download the slides here >> About the Webinar Join us for an insightful webinar where we delve into the world of data modeling. This session will cover the three primary types of data models: conceptual, logical, and physical. We will explore the unique characteristics of each model, highlight their differences, and discuss the scenarios in […]
Fundamentals of Dimensional Data Modeling
In today’s data-driven business environment, organizations demand reliable and stable business insights to make informed decisions. To cater to this demand, over 60% of companies turn to data warehouses (DWs) to store, manage, and analyze their data efficiently. The success of these DW implementations depends on dimensional data modeling – an analytical approach that organizes and categorizes data for efficient analysis and […]
DAS Webinar: Where Data Models Fit in Today’s Modern Data Architecture
Download the slides here >> About the Webinar With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in data management, along with […]
Book of the Month: “Data Structure Synthesis”
In June’s Book of the Month, we’re reading Doug Needham’s “Data Structure Synthesis.” The tagline on the book is “Boosting Productivity Through Data Structure Reuse.” Ultimately, the book is about combining the mathematical truths of set theory and applying that to data modeling, but all wrapped together in an adventure with the author. Needham starts the […]
SQL and the Relational Model: Enduring Standards in the Age of AI
In 1970, Ted Codd introduced the relational data model, which proposed representing data as tuples, grouped into relations, to allow for declarative methods to specify data. SQL was developed at IBM as a way to query relational databases. It is a declarative programming language, expressing what data is to be retrieved, as opposed to imperative programming languages […]
What Is a Knowledge Graph?
A knowledge graph is a structured data representation that reveals patterns and connections in the real world. It consists of three components: Nodes: Real-world concepts – including entities, people, places, and things. Edges: Connections between the nodes – including activities and characteristics between nodes. Properties: Labels that provide additional context about the nodes, relationships, or both. See the image below: This model unifies disparate pieces […]
Data-Ed Webinar: Data Modeling/AI Essentials
Download the slides here>> About the Webinar About the Webinar Quality engineering and architecture work products don’t happen by chance. As your organization increasingly relies on automation, the significance of the data models driving your engineering and architecture efforts grows. This webinar explores how AI is transforming the fundamentals of data modeling—a critical activity underpinning […]
Data Modeling Concepts for Beginners
Christopher Bradley, information strategist at DMA Advisors, says the “main purpose of a data model is actually not to design a database – it’s to describe a business.” However, many professionals lack a solid grasp of the data modeling concepts needed to effectively represent their business operations. This knowledge gap comes at a steep cost. A recent […]
Data Modeling in Machine Learning Pipelines: Best Practices Using SQL and NoSQL Databases
Data, undoubtedly, is one of the most significant components making up a machine learning (ML) workflow, and due to this, data management is one of the most important factors in sustaining ML pipelines. An appropriate data model allows the respective data to be accessible all day long, operate at peak efficiency, and be adjusted to […]
Book of the Month: Data Models for Banking, Finance, and Insurance
Welcome to the first “Book of the Month” for 2025. This time, we’ll be going over “Data Models for Banking, Finance, and Insurance” by Claire L. Frankel. This book arms the reader with a set of best practices and data models to help implement solutions in the banking, finance, and insurance industries. Right at the beginning […]