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Table of contents
1.
Introduction
2.
How to Develop a Well-Governed and Secure Big Data Environment?
3.
Frequently Asked Questions
3.1.
Why is security important in big data?
3.2.
What are the challenges of data security?
3.3.
What are the four key issues in data security?
3.4.
What is data governance?
3.5.
What is the risk of not having data governance?
4.
Conclusion
Last Updated: Mar 27, 2024

Developing a Well-Governed and Secure Big Data Environment

Author Rajat Agrawal
0 upvote
Leveraging ChatGPT - GenAI as a Microsoft Data Expert
Speaker
Prerita Agarwal
Data Specialist @
23 Jul, 2024 @ 01:30 PM

Introduction

Many security hazards can be mitigated with an intelligent approach to security. You must create a safe big data environment. One thing you can do is analyze your current situation. In a big data environment, security begins with a thorough examination of your current situation. Answering a list of questions that can help you create your approach to a data security plan is a wonderful place to start.

Big data

Let’s learn how to develop a well-governed and secured big data environment.

How to Develop a Well-Governed and Secure Big Data Environment?

There are some important questions you need to consider while developing a secure and well-governed big data environment:-

✨ Have you analyzed your previous data security strategy?

How do you manage who has access to your applications, databases, and warehouse data, both from your firm and outside sources? Who has permission to use both existing data resources and the new big data sources you're introducing?

✨ How can you ensure that only the right people have access to your data and applications?

✨ Are you able to discover data vulnerabilities and hazards and correct any weaknesses?

✨ Do you have a system to track your security risk over time and provide updated information to those who require it?

✨ Is your entire infrastructure secured from external security threats at all times? If not, this could be a weak link that compromises the security of your data.

✨ Do you keep your own keys or receive them from a credible source if you're using encryption? Do you employ industry-standard algorithms? Have you applied these standards to new data sources that you've identified as vital to your company's success?

✨ Are you able to continuously monitor and quantify security risks?

Can you consistently apply security and governance standards across all sorts of data sources, including those in the cloud?

✨ Can you keep all of your data safe, no matter where it's kept?

✨ Can you meet data auditing and reporting standards no matter where it's stored? 

✨ Are you able to meet your industry's compliance requirements?

✨ What disaster and recovery strategies do you have in place? How do you ensure that all of your essential data sources are available at all times?

By analyzing the questions mentioned above and solving the problems, if identified any, you can easily develop a well-governed and secured big data environment.

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Frequently Asked Questions

Why is security important in big data?

Big data security refers to the tools and policies to protect both data and analytical operations. The basic goal of Big data security is to secure valuable data against assaults, thefts, and other destructive acts.

What are the challenges of data security?

The major challenges of data security are Data Tampering, Eavesdropping and Data Theft, and Falsifying User Identities.

What are the four key issues in data security?

Confidentiality, integrity, and availability are the three most important aspects of data security. This security model and guide, often known as the CIA triad, is used by businesses to secure sensitive data from unwanted access and data exfiltration.

What is data governance?

Big Data Governance is the process and management of data availability, usability, integrity, and security of data used in an enterprise. It includes all the steps from storing the data to securing it from any mishap. It is not just only about technology.

What is the risk of not having data governance?

Without guidelines, you risk non-compliance with privacy standards, personnel who refuse to provide data for fear of misuse, and people who lack the necessary information to execute their jobs.

Conclusion

In this article, we have extensively discussed how to develop a well-governed and secured big data environment.

If you want to learn more, check out our articles on IAM Security StandardData Warehousing ToolsThe Data Governance ChallengeData Virtualization Use Cases, and Encapsulation.  You can check out our blogs on Top 100 SQL ProblemsInterview ExperiencesProgramming Problems, and  Guided Paths. If you want to learn more, check out our articles on Code studio

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