integrated approach to combat cyber risk

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Five key principles to secure the enterprise Big Data platform

Hadoop series on best practices for large enterprises – Security

Security is key for data management especially when working with Big Data.

Five key principles to secure the enterprise Big Data platform

Organizations face the risk of financial, legal and reputational damages if they do not take care of security for their data and IT systems.

Enterprise Data Governance rules, European legal restrictions like the GDPR but also national or industry-specific data privacy laws such as BDSG or TKG in Germany clearly define how data needs to be protected in IT systems in order to avoid data security breaches. Additionally, regulations like the German BSI security law and the international ISO/IEC 27000-series define standards for minimizing threats to IT systems

It is therefore crucial for enterprises to carefully consider data security especially within their Big Data initiatives. Hadoop in particular poses a data security challenge with its complex ecosystem, ever evolving tool chain and the fact that security was not a top priority for the development of Hadoop in the first place. There is currently no universal security standard in the Hadoop landscape.

Deloitte has worked with numerous clients and Hadoop vendors to resolve these security challenges and offers a wide range of services from security assessments of already existing big data platforms to building a security strategy and implementation support for Big Data platforms.

Five key areas have been identified during projects as crucial for securing Hadoop especially for large enterprises with their strict security, governance and compliance regulations. The five areas are presented in the following to support you in achieving your goal of a secure and well-governed Hadoop environment.


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