In this world of so-called digital transformation and cloud computing that drives our always-on über-connected lifestyles, surely it would be useful to understand how many types of data are out ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the ...

Data warehouse architectural design Types of data models and dimensions Best practices for implementing and managing enterprise data warehouse in 2022 What is a data warehouse?

Data quality and master data management are not, strictly, part of data architecture, but good-quality data remains vital to deliver the business results from an architectural project. Experts who ...

In short, with the new cloud era of data upon us, the thinking goes, we need new tools and technologies to take advantage of it. This is precisely what a new generation of technologists who advocate ...

In fact, by 2024, more than three-quarters of current data lake users will be investing in this type of hybrid “data lakehouse” architecture to enhance the value generated from their ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

The first step toward building a formal data strategy is to understand your organization’s universe of data. The next is to identify gaps and fill them with the right sales technology.