Opinions expressed are those of the author. For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex codebases and rigid structures.

In today’s fast-evolving digital landscape, managing vast volumes of data efficiently has become crucial. The growing ...

Programmable network infrastructure revolutionizes data flow within AI ETL pipelines. iRules scripts deploy sophisticated ...

Centralized data warehousing remains a powerful, proven approach to managing and using data. While data mesh has generated excitement as a trendy new architecture, its practical challenges—silos, ...

Any AI algorithm is only as good as the data you feed it, highlighting the need for a centralized, unified data architecture.

Organizations are increasingly adopting centralized cloud data lakes and warehouses ... Serverless and auto-scaling architectures are also becoming dominant, enabling cost-efficient and scalable ...