Big Data Security: Advantages, Challenges, and Best Practices

Big Data Security


  • Subhasish Dutta

    Subhasish Dutta

    Subhasish is a science graduate but a passionate writer, and wordsmith who writes website content, blogs, articles, and social media content on technologies, equity market, traveling, and other domains. He has worked with Affnosys and FTI Technologies as a content writer.

Frequently Asked Questions

Big data security is essential because a single incident of data reach can cost organizations millions of dollars in lost revenue, fines, and legal fees. Businesses should take robust security measures to protect sensitive information, comply with regulations, maintain customer trust, ensure business continuity, and defend against various cyber threats.

The main purpose of developing a big data security strategy is to safeguard big data from unauthorized access and maintain its confidentiality, integrity, and availability. Moreover, many industries need to comply with strict data protection laws and regulations, such as GDPR, HIPAA, and CCPA. A data breach can lead to financial loss, reputational damage, and legal penalties. A robust security strategy ensures that the organization complies with these legal requirements, helping them avoid potential legal consequences.

The three key elements of big data security are:

  • Confidentiality: This means ensuring that big data is only accessible to authorized individuals within and outside the organization. Taking measures like encryption, access control, and data loss prevention (DLP) helps in maintaining confidentiality.
  • Integrity: Data integrity means ensuring big data is accurate and complete. Implementing security controls, and data quality management prevent unauthorized data modification.
  • Availability: This is ensuring that big data is accessible to authorized users when they need it. Implementing effective security controls and disaster recovery mechanisms ensures data availability by protecting it against cyberattacks and other disruptions.

Big data security is a shared responsibility of multiple stakeholders within the organization. The exact responsibility can vary depending on the industry, organization's size, and structure. However, usually, big data security is the responsibility of the chief information security officer and his team, data engineers, data scientists, legal and compliance team, employees, and third-party service providers.

View more FAQs


What’s up with Turing? Get the latest news about us here.


Know more about remote work. Checkout our blog here.


Have any questions? We’d love to hear from you.

Hire remote developers

Tell us the skills you need and we'll find the best developer for you in days, not weeks.