BigDataRevealed Fills the Weaknesses Inherent in Hadoop And makes IoT as easy as 1-2-3 And all with SecureSequester/Encrypt

Hadoop users understand the following barriers must be overcome to have a secure functioning Data Lake.

1.Hadoop strips Cataloguing/Metadata from files as the file enters the ecosystem.   

 - Until Cataloguing/Metadata information is rebuilt the Data Lake is of little value.

 2. Big Data software products lack the sophisticated security mechanisms available with legacy databases.

    - As a result, Hadoop Data Lakes are soft targets for intruders to penetrate.

  3. Locating Personally Identifiable Information and other Sensitive data is difficult and may require many people hours from Data Scientists.  

   - Therefore, many Data Lakes contain undiscovered Personally Identifiable Information and Sensitive data fields that are vulnerable to attackers.

Hadoop databases are designed to capture and organize incredible volumes of raw data reaching into the Peta Bytes. A properly built Data Lake can provide a company with a 360% view of it’s activities, customers and machinery, but can also supply hackers with the same bounty of information if not properly managed.

BigDataRevealed was designed to address each of the above major weakness in Hadoop with limited effort from Data Scientists and Data Management folks.

This is why you want BigDataRevealed on your side to help create a Useful and Protected Data Lake. 

   - As Data streams or imports into your Data Lake BigDataRevealed’s Intelligent Catalogue will re-create catalogue data and metadata that was stripped away as well as determine the business classification form more precise columnar naming.

   - Again, as data streams into your Data Lake BDR’s Intelligent Catalogue will identify PII and other Sensitive data and Sequester/Encrypt the fields before writing them to HDFS or Hbase. The decryption key is safely stored outside of Hadoop. PII and Sensitive Data are never exposed.      

   - The same processes can be run against ‘data at rest’ as well as streaming data with little effort.

  - BDR provides a graphical interface to connect to IoT, and Social Media data feeds directly to your Data Lake, Eliminating the need for Data Scientist to build unique connectors for every data feed you wish to process. Saving many hours of coding and testing while automating the SecureSequester/Encrypt of Personally Identifiable Information.

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