Data Management



Data Management comprises all disciplines related to managing data as a valuable resource, including data management technologies and solutions, logical and physical design techniques, policy creation and implementation, data quality, protection and control technologies.



    Data management is usually referred to as a process consisting of five steps: data capture, data entry, data analysis and reporting, decision-making, and evaluation. Data Management can be implemented in the most diverse areas of society today. For example, it can support health care centers by providing analytical information on specific patient groups; it can help improve customer satisfaction in retail sectors by allowing companies to track and measure their market shares; it can be implemented to provide decision-making support for large organizations; or it can play a role in regional economic planning efforts.


      Empower your data science team and make the most of

      Accelerated Platform Data Analytics


      $ pip install shapelets-soloCopy to clipboard

      $ shapelets infoCopy to clipboard

      Learn more by reading our installation guide and tutorials.

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      Empower your data science team and make the most of accelerated platform data analytics



      Storage & Streaming

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      Data Apps








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