Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

The architecture used to build a meta data repository is every bit as critical to its long-term viability as the architecture used for the data warehouse. By taking the time to build a sound ...

Conventionally, the steps in the data management architecture typically include enterprise data extraction from operational data repositories and storing them in a raw data lake.

Meet the data lakehouse. It’s a modern repository that stores all structured, ... As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), ...

As data warehouses are purpose-driven, it is critical to consider business needs and identify the data sources that should be connected to the central repository. nterprises should follow the ...

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 ...

In the Lambda Architecture, the raw source data is always available, so redefinition and re-computation of the batch and speed views can be performed on demand. The batch layer provides a big data ...

The Department of Commerce plans to begin demonstrations of a cloud-based data repository prototype containing the locations of space objects to improve transparency and asset and operational safety ...

The IC’s data reference architecture consists of four principles: domain ownership, decentralized stewardship, self-service and federated computational governance. To achieve self-service, the IC ...

Scientific Data mandates authors submit datasets to an appropriate public data repository. Data should be submitted to discipline-specific, community-recognised service where available or a ...