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Your data maturity model can have all the right tools and processes, but without adoption, it's just a collection of unused resources. To achieve data-driven success, application is key.
Get ahead of the curve and stay up-to-date on the latest AI trends in data science. Explore 9 revolutionary AI trends, shaping the future like augmented data management, Data-as-a-Service (DaaS), etc.
Data observability for data engineering aims at providing visibility into the health and usage of data while, at the same time, minimizing data downtime to create greater benefits for all.
Data observability for the modern data stack solves many of the challenges of data management, such as distributed data sources and complex data pipelines, by providing total visibility and tracking.