Cloudera Navigator
Here are some key features and functionalities of Cloudera Navigator:
Metadata Management: Cloudera Navigator collects and catalogs metadata from various data sources within a Hadoop cluster, including Hive, HDFS, HBase, and more. This metadata includes information about data schemas, data lineage, and data ownership.
Data Discovery: Users can search for and discover data assets through a user-friendly interface. This makes it easier to locate and access relevant data for analysis and reporting purposes.
Data Lineage: Cloudera Navigator provides data lineage tracking, which allows users to trace the origin and flow of data within their Hadoop environment. This is particularly valuable for understanding data transformations and dependencies.
Data Auditing and Governance: It offers audit logs and policies to monitor and enforce data access and usage policies. Organizations can ensure compliance with data governance regulations and track who accesses sensitive data.
Data Quality and Profiling: Users can perform data quality checks and profiling to assess the quality and consistency of their data. This helps in identifying data issues and improving data reliability.
Integration with Apache Atlas: Cloudera Navigator integrates with Apache Atlas, another open-source metadata and governance framework for Hadoop ecosystems. This integration enhances metadata management and governance capabilities.
Security: It provides security features to protect sensitive data, including encryption, access controls, and authentication mechanisms.
Alerts and Notifications: Cloudera Navigator can generate alerts and notifications for various data-related events, ensuring that administrators are informed of critical issues or policy violations.
User Access Controls: Role-based access controls allow organizations to restrict access to metadata and data assets based on user roles and responsibilities.
RESTful API: The platform offers a RESTful API for integration with other data management and analytics tools, allowing for automation and customization of data governance processes.
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