The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- ...

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 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 ...

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 ...

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

As the data architect is arguably more pivotal to your company than the lunch order (it’s a tough call, I know), a more complex architecture is not just the architect’s headache.

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, ...