The flexibility of data lakes, combined with the variety and vast amount of their stored data, makes them ideal for advanced analytics.

A data warehouse is defined as a central repository that allows enterprises to store and consolidate business data extracted from multiple source systems for the task of historical and trend ...

To gain business value from data, enterprises need to get their data architecture right – and the right business leadership and culture is critical to that.

Information architecture ensures content and data is structured, organized, and categorized in an effective and usable way, thereby maximizing the value of your websites and applications.

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 ...

Few companies have dedicated data architects, but every company wants one. How can you better organize your data with limited resources?

Georgi Gospodinov, one of Walmart's lead data scientists, explains why you can’t have complete data fusion without the right data architecture, and why building in privacy is key to success.

REST vs. SOAP REST in theory is a kind of self-describing service architecture, where clients understand what the standards are and the service emits data that conforms to those standards.

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value.

Below, we delve into the effects of digital transformation, how it is reshaping the industry and the questions it raises about the future role of architects.