A data lakehouse addresses these typical limitations of a data lake and data warehouse architecture by combining the best elements of both data warehouses and data lakes to deliver significant ...

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.

This first series of articles describe foundational steps that enable agile data warehouse development – something that has been a challenge in enterprise data management for years. My prior ...

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 ...

which recently released its real-time data warehouse architecture as open source. ByConity, the name of ByteDance’s data warehouse, is an elastically scalable, column-oriented relational database that ...

As I dig into my initial research, it dawned on me – some technology trends are having an impact on information management/data warehouse ... will change your DW architecture.

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

Cloud data warehouse, data lakehouse, data fabric, data mesh? And what about real-time analytics and streaming IoT data? Right now, IT leaders and data architects have a plethora of architecture ...

Today, the data warehouse architecture is collecting information on around 6 million ‘events’ per day, says Clark, and already holds around 9 months’ worth of that data. But the project is far from ...

Migrating to a modern data warehousing architecture has its challenges, but it brings significant benefits, too. One of the difficulties, notes Barke, is establishing how to handle big data and ...