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La dernière génération de sécurité,
gouvernance et exploitation de Hadoop

cloud Livre blanc : Optimisation de la sécurité et de la gouvernance des données avec Apache Hadoop

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L’intégration d'Apache Atlas et Apache Ranger favorise les stratégies de sécurité fondées sur la classification

As organizations pursue Hadoop initiatives to capture new opportunities for data-driven insights, data governance and data security requirements can pose a key challenge. Hortonworks created an Apache Hadoop Data Governance Initiative to address the need for open source governance solution to manage data classification, data lineage, security and data lifecycle management.


Une gestion et un contrôle efficaces des données ne peuvent s’effectuer de façon passive ou tout simplement de manière approfondie. Un contrôle d'accès centralisé alimenté par une classification cohérente des données constitue le fondement d’une sécurité dynamique. Il représente de plus une exigence de base pour Open Enterprise Hadoop. À cette fin, Hortonworks annonce la publication de nouvelles fonctionnalités en présentation publique avec Apache Atlas et Apache Ranger, qui intègrent la classification des données et l’application des politiques de sécurité.


Apache Atlas, created as part of the Hadoop data governance initiative, empowers organizations to apply consistent data classification across the data ecosystem. Apache Ranger provides centralized security administration for Hadoop. By integrating Atlas with Ranger, Hortonworks empowers enterprises to institute dynamic access policies at run time that proactively prevents violations from occurring.


The Atlas/ Ranger integration represents a paradigm shift for big data governance and data security in Apache Hadoop. By integrating Atlas with Ranger enterprises can now implement dynamic classification-based security policies, in addition to role-based security. Ranger’s centralized platform empowers data administrators to define security policy based on Atlas metadata tags or attributes and apply this policy in real-time to the entire hierarchy of data assets including databases, tables and columns.


Hortonworks empowers data managers to ensure the transparency, reproducibility, auditability and consistency of the Data Lake and the assets it contains. Apache Atlas now provides the ability to visualize cross-component lineage, delivering a complete view of data movement across a number of analytic engines such as Apache Storm, Kafka, Falcon and Hive. Hadoop operations, stewards, operations, and compliance personnel now have the ability to visualize a data set’s lineage and then drill down into operational, security and provenance-related details. As this tracking is done at the platform level, any application that uses multiple engines will be natively tracked. This allows for extended visibility beyond a single application view.