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An enterprise’s data lake could contain personally identifiable information, company financial information, valuable intellectual property and more. Considering that many big data tools are used for security analysis, if compromised, these tools can also leak information about the enterprise’s firewall and card key system into the wrong hands. Enterprises need to be aware of what data is included in the lake in order to best protect it. They also have to know who has the ability to view the data and make changes to the data.
The first step that enterprises should take to protect them and improve security in big data implementations is to use access control. In addition to the user and services controls available within the environment, enterprises can also use network or operating systems authorization controls. Other security tools can be included at a granular level, depending on the type of information contained in the data lake.

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