“The main purpose of a data model is actually not to design a database – it’s to describe a business,” said Christopher Bradley, information strategist at DMA Advisors. Bradley spoke at a recent Data Architecture Online conference about the purpose of Data Modeling and its role in Data Governance and the modern successful business. Are […]
ADV Webinar: Every Database Is Multi-Modal – What Does This Mean to an Enterprise?
Download the slides here>> About the Webinar Today’s enterprises have an unprecedented variety of data store choices to meet the needs of their varied workloads. Because there is no one size fits all when it comes to data stores, this can lead to confusion and chaos. Enterprises have many needs for databases, including cache, operational, data […]
Knowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]
What Is a Graph Database? Definition, Types, Uses
A graph database (GDB) models data as a combination of nodes (vertices) and edges (relationships) with equal importance. Businesspeople query these structures to reveal patterns and insights within the data and their associations. These would be difficult to discern from other data visualizations, such as tables, charts, and documents. Since humans naturally think by associating one concept with another, people […]
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 […]
How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps
As a cognitive scientist, I’ve been immersed in AI for more than 30 years – specifically in speech and natural language understanding, as well as machine-based learning and rule-based decision-making. Progress in our field is always uneven, unfolding in fits and starts. Those of us in the AI field have witnessed multiple “AI winters” over the […]
Running Generative AI in Production – What Issues Will You Find?
As your data projects evolve, you will face new challenges. For new technology like generative AI, some challenges may just be variations on traditional IT projects like considering availability or distributed computing deployment problems. However, generative AI projects are also going through what Donald Rumsfeld once called the “unknown unknowns” phase, where we are discovering […]
Microservices and AWS RDS Instances: Revolutionizing Application Development
In today’s fast-paced digital landscape, the demand for flexible, scalable, and independent application deployment is more critical than ever. Microservices architecture has emerged as a game-changer in how developers build and manage applications, allowing for the decomposition of traditional monolithic systems into independently deployable services. Coupled with the power of Amazon Web Services (AWS) Relational […]
ADV Webinar: What The? Another Database Model — Vector Databases Explained
Download the slides here>> About the Webinar Vector databases are a type of database that use graph embeddings to represent and compare data, making them ideal for fuzzy match problems. Graph embeddings are created using machine learning algorithms and compress the attributes of data into a low-level representation. The process of creating a new embedding […]
What Is a Database Management System (DBMS)?
A database management system (DBMS) describes a collection of multiple software services that work together to store, compute, maintain, structure, and deliver the data as part of a product. This platform also provides metadata, a system of data labeling, so that engineers and users can understand and map what entities and properties are available and their […]