Large Collection of Data: Secure Big Data

However, as the size of the dataset grows and grows exponentially, scalability and availability require automatic hierarchy of big data storage management. [SearchStorage Official Website, 2013] Automatic layered solutions can not keep track of where data is stored, creating new challenges for safe data storage. [ISACA Official Website, 2013] In this article, we explain security problems occurring in big data storage systems from insecure data storage and transaction logs, and outline their solutions.

The main principle of data security is to protect data users' collections or data sources. Data security will dominate the new General Data Protection Rule (GDPR) issued by the European Union. When new regulations are enforced, it is important to prevent security threats as much as possible, as there is the possibility that a major penalty may be imposed by data breach. Data governance helps protect your organization's reputation by implementing appropriate responsibilities, processes, and appropriate technologies to secure customers and prospects. If the data held by the organization is unsafe because it is not properly stored, poor data quality processes can have a significant impact on the organization.

When implementing big data security, it is important to respect privacy concerns while continuing to use and analyze data. Since data collection is not available and can not be used, this is one of the biggest security challenges to big data, but privacy violations of data lead to legal and ethical implications as well as market impact. Fine-grained access control works on all data, ensuring a high level of security and availability. Choosing an appropriate level of granularity is a challenge for itself and requires an understanding of data storage and analysis systems. Row level access. A line usually represents one record, usually because it is used for data derived from multiple sources. Column level access is possible because columns represent specific fields of all records (usually confidential elements), as ID columns are not necessarily user-usable.