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Big Data Security

Big Data features –security, compliance, auditing and protection


BIG DATA SECURITY :

Big data security is the collective term for all the measures and tools used to guard both the data and analytics processes from attacks, theft, or other malicious activities that could harm or negatively affect them.

For companies that operate on the cloud, big data security challenges are multi-faceted.

When customers give their personal information to companies, they trust them with personal data which can be used against them if it falls into the wrong hands.

BIG DATA COMPLIANCE :

Data compliance is the practice of ensuring that sensitive data is organized and managed in such a way as to enable organizations to meet enterprise business rules along with legal and governmental regulations.

Organizations that don’t implement these regulations can be fined up to tens of millions of dollars and even receive a 20-year penalty.

BIG DATA AUDITING :

Auditors can use big data to expand the scope of their projects and draw comparisons over larger populations of data.

Big data also helps financial auditors to streamline the reporting process and detect fraud.

These professionals can identify business risks in time and conduct more relevant and accurate audits.

BIG DATA PROTECTION :

Big data security is the collective term for all the measures and tools used to guard both the data and analytics processes against attacks, theft, or other malicious activities that could harm or negatively affect them.

That’s why data privacy is there to protect those customers but also companies and their employees from security breaches.

When customers give their personal information to companies, they trust them with personal data which can be used against them if it falls into the wrong hands.

Data protection is also important as organizations that don’t implement these regulations can be fined up to tens of millions of dollars and even receive a 20-year penalty.

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