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Die nächste Hadoop-Generation
Sicherheit, Governance und Betrieb

Cloud Whitepaper: Bessere Sicherheit & Daten-Governance mit Apache Hadoop

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Die Integration von Apache Atlas und Apache Ranger ermöglicht klassifikationsbasierte Sicherheitsrichtlinien

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.


Effizientes Daten-Management kann nicht passiv oder ausschließlich forensisch erfolgen. Eine zentralisierte Zugriffskontrolle auf Basis einer einheitlichen Datenklassifizierung ist die Voraussetzung für dynamische Sicherheit und eine grundlegende Anforderung für Open Enterprise Hadoop. Vor diesem Hintergrund freuen wir uns, die Veröffentlichung einer Reihe neuer öffentlicher Vorschau-Funktionen im Rahmen von Apache Atlas und Apache Ranger bekannt geben zu können, die Datenklassifizierung mit Sicherheitsmaßnahmen kombinieren.


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.