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Data modeling takes a more focused view of specific systems or business cases. There are several enterprise architecture frameworks that commonly serve as the foundation for building an ...
The Register on MSN1d
DuckDB flips lakehouse model with bring-your-own compute and metadata RDBMSOpen source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...
Data architects are also frequently part of a data science team and tasked with leading data system projects ... understand data modeling, including conceptualization and database optimization ...
As modern applications continue to grow in size and complexity, the traditional approach of using a single, general-purpose ...
Compare, measure, and test big data models for production use. Write custom performance tests to measure the characteristics of a distributed system. Use queues to horizontally distribute large ...
Organizations can now easily deploy, operate and observe agentic pipelines; leverage pre-built agents provided by VAST Data; ...
Crafting a comprehensive, unified data and AI approach for data trapped in outdated formats, and complex tangles of decades-old legacy systems ... governance model. AI fabric architecture empowers ...
VAST Data unveiled its VAST AI Operating System, intended “to create an intelligent platform architecture that can harness ...
There are many ways to describe a database: the role it plays in a distributed architecture ... security of the backend system, client applications receive an external view of the logical layer that ...
Duplicate data stacks and data models ... legacy systems. The emergence of the governed data lake and generative AI presents a unique opportunity to reevaluate your data architecture from first ...
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