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In this presentation, we discuss how integrating a data management and a data protection solution provides unified access control across multiple data sources in a hybrid cloud environment. The demo demonstrates how this integration is implemented using IBM Data and AI’s Watson Knowledge Catalog and IBM Security’s Guardium Data Protection tools
Chat with Lab Enforcing IBM Watson Knowledge Catalog data protection policies off-platform with IBM Guardium Da-20230712 1454-1.MOV
Provides flexible reporting tools to meet internal and external ESG and sustainability reporting requirements. Integrates internal and external stakeholders, process and technology to embed sustainability into daily operations
Businesses may use data capture to help keep systems in sync, ensure reliable data replication, help users to detect and manage incremental changes at the data source as well as integrate the source event data with applications
Out of the box REST APIs provide simple integration to Line of Business applications and reveal business insight locked in your documents!
Visualize data with Brunel in Jupyter notebooks Watch this video to see how to use the Brunel Visualization language to easily build interactive charts and diagrams in a Jupyter notebook inside a Watson Studio project. Enable Git integration If you enable Git integration in a Watson Studio project, then you can sync your project with a GitHub repository and allow collaborators to use the JupyterLab Integrated Development Environment (IDE). Watch this video to see how to enable Git integration in a Watson Studio project to use the JupyterLab IDE