Lack of consistency: Companies may often find it difficult to keep their data lake and data warehouse architecture consistent. It is not just a costly affair, but teams also need to employ ...

While the architecture of a data warehouse can vary according to different organizational needs, most enterprises tend to follow a three-tier system with a bottom, middle and top layer.

Atlassian was always an advocate of the data warehouse-style architecture, according to the company's data platform senior manager Rohan Dhupelia. At one point the company was running two data ...

When the TikTok app took off globally later that year, the volume of data flowing into ClickHouse skyrocketed, leading to growing pains with the data warehouse. The main culprit, according to a May 24 ...

Formed back in 2014 with first product released three years later, Yellowbrick has specialized at the high-performance end of the data warehousing spectrum that includes analytics of real-time ...

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 ...

Many tools promise that users will gain rapid insights and create more flexibility by capturing and storing data, but introducing NoSQL database technologies into the data warehouse and analytics ...

To shed light on the adoption and maturity of trending data architectures and where the industry is headed, Unisphere Research, a division of Information Today, partnered with Radiant Advisors to ...