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Data Architecture is facing competing priorities in 2024, with organizations needing to find a balance between modernizing their data architectures to increase operational real-time analytics and enable AI and ML capabilities, and prioritizing security and Data Governance. Data Quality issues have risen significantly in the past two years, and organizations will need to proceed thoughtfully in setting up and implementing Data Architecture trends. Data Governance is a top priority for many executives, and the evolution of Data Governance tools has advanced Data Quality processes within Data Architecture components.
