5 Tips to Overcome Big Data Security Issues

Small businesses and multinational companies are producing a flow of data mostly from the smart tech devices. The smart devices are the heart and soul of the Internet of Things (IoT). Though the capacities of our devices are increasing but the major concern is the security of the devices. The data should not generate a security doubt, if yes, then it is an alarming factor and should be protected. The business produces data which are confidential like customer records. They also have data like regulations and protections. If the data are not secured, then this will lead to data breaching. The customers will never like to face any such issues with their records. From educational to healthcare, in any field, keeping the data of the customers safe and secure is the utmost important factor. Let’s see the five crucial tips to overcome Big Data Security Issues.

  • Data storage

Storing and managing the data is one of the major strategies of the Big Data. Here the new data gets automatically stored in different storage levels. The malicious software’s should be detected in the first step. SUNDR (secure entrusted data repository) helps in monitoring this malicious software.

  • Securing the Non Relational Data

Effective end to end encryption like RSA, AES and SHA-256v should be used to protect the images. The companies which produce images should use encrypting passwords as well as hashing.  From the standard SQL relational databases they turn to NoSQL. These are highly vulnerable to attacks and they should be looked after.

  • Ensuring endpoints Security

The trusted certificates in the endpoints highlights the data as secured. While making online payments you should always check this out. If there are no trusted certificates, then it will be threat to the customers’ data also. Through the MDM (mobile device management) platform, they can regulate the testing. These allow only trusted devices. The challenging part here is that the data should be a valid one. The big data should be capable enough to prevent intrusion of any attackers or they should quickly identify the false data.

  • Preventing Inside threats

The most crucial part is the employees in the organizations should also be made aware about the threats. They should know which page or email to accept or respond. They should never share their credentials or they should never respond to phishing.

  • Analyzing and monitoring

The big data should be able to analyze and monitor the threats or the data in the real-time basis. They should be able to prevent the attacks quickly.

In the end, Big data should be a smart solution for the businesses.


BI Consultant

About the Author

BI Consultant

DataFactZ is a professional services company that provides consulting and implementation expertise to solve the complex data issues facing many organizations in the modern business environment. As a highly specialized system and data integration company, we are uniquely focused on solving complex data issues in the data warehousing and business intelligence markets.

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