Big Data and Security – Cloudera

Security issues to consider for securing the data: What can be accessed by who when where from. Authentication. Authorization. Encryption. Key management. Identity management system.

Cloudera has a distribution of Hadoop that contains advanced security features, serving two objectives: 1. To protect the data contained in Hadoop cluster.
2. To analyze stream data detecting where security might have breached. Such as detecting fraud in transactions or web, or cyber-attack, in a near-real-time manner, using advanced analytics applied on data in big data management system.

Cloudera has a distribution of Hadoop that contains advanced security features.

Cloudera navigator:
 Is Cloudera’s solution for security, including logging and auditing. Also allowing the above intelligent solutions.

Advanced security should accommodate Data is in the cloud and on premise and on different clusters across partners so security needs to enable cross cluster security. Batch vs streaming analytics.
Save traffic like transactions or network data into Big data then analyze them there and even apply stream analytics into them online. Apply semi automatic detections. Application of Analytics on micro datasets, like sensors.

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