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

Data architecture is a critical part of architecting a highly scaled, highly available, globally accessible, modern application. Mistakes in your data architecture can cause issues with scaling ...

Organizations that treat data integration as a strategic business imperative, not just a technical challenge, will be the ...

Advance the data management architecture to support generative AI capabilities. Evolve data infrastructure to support multiple architecture patterns. Data storage choices will have a long-lasting ...

“Data architecture is many things to many people and it is easy to drown in an ocean of ideas, processes and initiatives,” says Tim Garrood, a data architecture expert at PA Consulting.

Data architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases.

Data collection, storage, visualization, and data analytics serve as pieces of the puzzle making up the open data architecture. About the author: Anais Dotis-Georgiou is a Developer Advocate for ...

Data Architecture Best Practices. Building a modern data architecture requires careful consideration of all the data technologies utilized to efficiently meet your enterprise’s commercial strategy.

Hadoop may have fizzled out as a data platform, but it laid the groundwork for an open data architecture that continues to grow and evolve today, largely in the cloud. We got a peek at the future of ...

A data lakehouse architecture can also help companies ensure that data teams have the most accurate and updated data at their disposal for mission-critical machine learning, ...