Data warehouse architectural design Types of data models and dimensions Best practices for implementing and managing enterprise data warehouse in 2022 What is a data warehouse?

Third in a series of articles that describes foundational steps to enable agile data warehouse development. Prior installments describe approaches for defining a business process model and initial ...

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams the most recent data.

The Boston College Enterprise Data Warehouse (EDW) supports reporting and analytics over a broad spectrum of University data. Developed in 2003, the EDW has advanced in terms of content, information ...

Architecture Data Vault 2.0 Architecture is based on three-tier data warehouse architecture. The tiers are commonly identified as staging or landing zone, data warehouse, and information delivery ...

You might not yet be a major TikTok influencer, but you can still analyze data like TikTok’s parent company, ByteDance, which recently released its real-time data warehouse architecture as open source ...

Nearly every data warehouse ecosystem has attempted to manage master data within its data warehouse architecture, but has focused on mastering data after transactions occur. This approach does little ...

Businesses should define a data model and naming standards, create a data flow diagram, build a source agnostic integration layer, adopt a data warehouse architecture standard, and consider an agile ...

Yellowbrick’s Direct Data Accelerator technology shrinks and removes the bottlenecks in the data flow from storage through the CPU, across the network, and back to the SQL client.