The major issues of data warehouse architecture are higher cost, lower performance and limited access. The reasons for these problems focus the architectural design. The solutions are proposed with ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Snowflake remains well-positioned as the leading pure-play cloud data warehouse provider, benefiting from robust cloud market ...

At Data Summit Connect Fall 2020, John O'Brien, principal advisor and CEO, Radiant Advisors, provided guidance about the agile methodology and templates that project delivery teams can follow to build ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

Organizations face obstacles in building effective unified environments, because these environments are difficult to deploy, and hard to manage with new types of data and multiple systems. Providing ...

The concept of devops has taken root in the world of business intelligence and analytics. The overall concept of devops has been around for a while in traditional IT departments as they sought to ...