Introduction

There are several ways organizations can implement security measures to protect their big data analytics tools. One of the most common security tools is encryption and firewall, a relatively simple tool that can go a long way.

Implement Big Data Security

Consequences of information theft can be even worse when organizations store sensitive or confidential information like credit card numbers or customer information. They may face fines because they failed to meet basic data security measures to comply with data loss protection and privacy mandates like the General Data Protection Regulation (GDPR).

Encryption

Encrypted data is useless to external actors such as hackers if they don't have the key to unlock it. Moreover, encrypting data means that both at input and output, information is completely protected.

Firewall

Building a strong firewall is another useful big data security tool. Firewalls are effective at filtering traffic that both enters and leaves servers. Organizations can prevent attacks before they happen by creating strong filters that avoid any third parties or unknown data sources.

Root Access to BI Tools

Controlling who has root access to BI tools and analytics platforms is another key to protecting your data. By developing a tiered access system, you can reduce the opportunities for an attack.