Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

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.

In its announcement on 2/18, MapR made a strong statement about its vision of the right product to support use of big data in the business world. MapR’s product is its platform, a set of ...

Keyrus implemented a centralised data lakehouse model for its client to harmonise disparate data sources, automate pipelines ...

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.

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.