The architecture of data systems is shifting towards a more integrated approach, combining Postgres databases, traditionally used for transactions, with modern open lakehouse frameworks. This dual strategy supports both operational needs and extensive analytics, allowing organizations to handle large-scale data more effectively. While systems often operate in isolation, a more holistic architecture is emerging that unites these components, reducing friction and improving efficiency. This convergence enables organizations to leverage both operational and analytical capabilities seamlessly, fostering innovation and responsiveness in data-driven initiatives.
The architecture of modern data systems is evolving to integrate transactional databases like Postgres with open lakehouse architectures for comprehensive operational and analytical uses.
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