New semantic generators turn definitions and relationships in enterprise data models into reusable semantic layers for ...

AI does not need a separate environment. Instead, the better approach is to supplement your existing analytics infrastructure ...

Every data modernization effort starts with a blueprint. The architecture looks clean. The data flows are defined. The platform choice is justified. Whether it is a data warehouse, a data lake or a ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

The US Food and Drug Administration (FDA) recommends that trading partners use the semi-distributed model to trace drug products though the drug distribution chain because of this model’s flexibility ...

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

The Model Context Protocol gives AI applications a standard way to discover and use tools, data, prompts, and other capabilities. This guide explains MCP's architecture, primitives, security ...

ACORD, the global standards-setting body for the insurance industry, has released enhanced online versions for two key components of the ACORD Reference ...