"Data management must now grow and evolve a new arm that extends to data lineage control. As data streams flow through IoT machines, users, applications and of course AI agents, there is a naturally more urgent need to discover and track data provenance, the state of data in motion, which datasets interconnect to each other and where information channels are headed next."
"Solidatus is a data lineage and metadata management tool that helps organisations understand, govern and manage their data by providing a visual, connected view of how data flows through systems. It enables data scientists and developers to automate processes, reduce costs, reduce (and hopefully mitigate) risks, drill down into data quality... and also regulatory compliance requirements by establishing a trusted, holistic understanding of their data's lifecycle and origins."
"Traditional tools fall short. Dutton says he recognises this fact and suggests that lineage stuck in documentation systems or buried in legacy silos simply won't do. This is the realm and era being radically redefined by digital twins for compliance i.e. we need live, granular models of an organisation's data estate that reshape lineage into a foundation for governance, trust and insight."
Data management must extend to data lineage control as streams flow through IoT devices, users, applications, and AI agents. Organizations need to discover and track provenance, the state of data in motion, dataset interconnections, and downstream channels. Solidatus provides visual, connected metadata and lineage mapping that automates processes, reduces costs and risks, improves data quality, and supports regulatory compliance by establishing a holistic understanding of data lifecycles and origins. Legacy documentation and silos are inadequate. Live, granular models or digital twins of data estates are required to transform lineage into a foundation for governance, trust, and insight.
Read at Techzine Global
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