Data lakes have become the cornerstone of many big data initiatives, just as they offer easier and more flexible options to scale when working with high volumes of data that’s being generated at a ...

A new book “Data Lake Architecture – Designing the Data Lake and Avoiding the Garbage Dump” by the father of the data warehouse Bill Inmon is a simple, high-level introduction to this popular data ...

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

An iceberg is a piece of ice broken off from a glacier that floats freely in open water, and this definition also provides an appropriate name for the database table format project Iceberg.

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

As more organizations implement large language models (LLMs) into their products and services, the first step is to understand that LLMs need a robust and scalable data infrastructure capable of ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.