登录查看更多内容

You’re worried about data security in your BI projects. What tools can help you keep everything safe?

由人工智能和领英社区提供技术支持

Data security is a crucial concern for any business intelligence (BI) project, especially when dealing with sensitive, personal, or confidential information. You want to ensure that your data is protected from unauthorized access, misuse, or loss, while still enabling effective analysis and reporting. How can you achieve this balance? In this article, we will explore some of the tools that can help you keep your data safe in your BI projects.

此文章中的业界达人

由社区从 6 条内容中精选。了解更多

Olaoluwa J. Taiwo MCIM

Data Scientist | Marketing & eCommerce Analyst | GCP & Cloud Analytics
Lorenz Bangerter

Senior Data Engineer | #FutureShaper @isolutions | RYA Yachtmaster
Ajinkya Kale

Data Analyst | Participant With Forage | ?5 HackerRank SQL | Transforming Insights into Action

1 Data governance tools

Data governance tools are software applications that help you define, implement, and monitor policies and standards for your data quality, security, and compliance. They can help you manage your data lifecycle, from collection to storage to usage, and ensure that your data is consistent, accurate, and trustworthy. Data governance tools can also help you audit your data sources, track data lineage, and document data definitions and metadata. Some examples of data governance tools are Informatica, Collibra, and Alation.

添加您的观点

Olaoluwa J. Taiwo MCIM

Data Scientist | Marketing & eCommerce Analyst | GCP & Cloud Analytics
举报内容
Data security is one of the trends in 2023 that organisation has to take seriously. Securing your data for my project can be done in different ways: -Usage of encryption such as OpenSSL or BitLocker -implementing data masking tools such as Talend - Access control like LADP Also, other tools like Calibra and Onetrust can help with data governance and compliance. Overall, the organisation has to conduct research and know what works best for them to avoid data breaches.

已翻译

赞
Lorenz Bangerter

Senior Data Engineer | #FutureShaper @isolutions | RYA Yachtmaster
举报内容
Datensicherheit ist ?? in der Schweiz ???? ein ?? Thema. Als Data Analyst arbeiten wir t?glich mit sensiblen Daten. Schweizer Gesetze zum Datenschutz sind streng, und das neue Datenschutzgesetz (DSGVO) versch?rft sie weiter. Wir müssen sicherstellen, dass wir Daten schützen und Datenschutzbestimmungen einhalten. Datenverschlüsselung ??: Sensitive Daten sind verschlüsselt, um unbefugten Zugriff zu verhindern. Zugriffskontrolle ??: Nur autorisierte Personen haben Zugriff auf Daten. Datenschutz-Folgenabsch?tzung ??: Risiken erkennen und mindern. Schulung ??: Mitarbeiter sensibilisieren. Datenschutz by Design ???: Datenschutz in alle Prozesse integrieren. Daten sind kostbar. Wir müssen sicherstellen, dass sie geschützt sind. ??

已翻译

赞
Ajinkya Kale

Data Analyst | Participant With Forage | ?5 HackerRank SQL | Transforming Insights into Action
举报内容
Data security in business intelligence (BI) projects is crucial. Here are some tools and measures that can help enhance security: Encryption Tools: Use encryption for data at rest and in transit. Tools like BitLocker, VeraCrypt, or FileVault can encrypt data stored on devices. For data in transit, protocols like SSL/TLS are essential. Access Control and Authentication Tools: Implement robust access controls and user authentication mechanisms. Tools like Okta, Microsoft Azure Active Directory, or OneLogin help manage user access and authentication. Data Masking and Anonymization Tools: Tools like Protegrity, Delphix, or Informatica can help in masking sensitive data to prevent unauthorized access.

已翻译

赞
Ganesh Mawale

Actively Seeking Opportunities | Business Intelligence Developer @ Quantra Technology Solutions
举报内容
Encryption Tools: SSL/TLS (Secure Sockets Layer/Transport Layer Security): Ensure secure communication between users and BI applications by implementing SSL/TLS encryption. This prevents data interception during transmission. Database Encryption: Utilize encryption mechanisms provided by the database system to protect data at rest. This includes encrypting sensitive columns or entire databases. Data Masking and Redaction: Dynamic Data Masking (DDM): DDM restricts sensitive data exposure by replacing original data with masked characters in query results. This is useful for limiting access to sensitive information based on user roles.

已翻译

赞

2 Data encryption tools

Data encryption tools are software applications that help you encrypt your data, either at rest or in transit, using various algorithms and protocols. Encryption is a process of transforming data into an unreadable format, which can only be decrypted by authorized parties who have the right key or password. Data encryption tools can help you protect your data from unauthorized access, theft, or tampering, and comply with data privacy regulations. Some examples of data encryption tools are BitLocker, VeraCrypt, and OpenSSL.

添加您的观点

3 Data masking tools

Data masking tools are software applications that help you anonymize or obfuscate your data, either partially or completely, using various techniques and rules. Data masking is a process of replacing sensitive data elements with fictitious or random values, while preserving the data structure and format. Data masking tools can help you protect your data from exposure, especially when sharing or transferring data to external parties or environments, such as testing, development, or cloud. Some examples of data masking tools are Delphix, IBM InfoSphere Optim, and Oracle Data Masking and Subsetting.

添加您的观点

Henry Kelly

Director of IT Applications at Woodruff Arts Center
举报内容
Sometimes in calculations, the actual data is not as important as identifying the unique qualities of the data. In passing on PII information for example, it may not be so important to pass a date-of-birth, but instead just pass a Boolean value that represents whether a birthdate exists in the system for the person.

已翻译

赞

加载更多内容

4 Data backup and recovery tools

Data backup and recovery tools are software applications that help you create copies of your data, either on-premise or in the cloud, and restore them in case of data loss or corruption. Data backup and recovery tools can help you safeguard your data from accidental deletion, hardware failure, natural disaster, or cyberattack, and minimize the impact of data downtime on your business operations and performance. Some examples of data backup and recovery tools are Acronis, Veeam, and AWS Backup.

添加您的观点

5 Data access and role management tools

Data access and role management tools are software applications that help you control who can access your data, what they can do with it, and how they can do it, using various mechanisms and policies. Data access and role management tools can help you enforce data security and compliance, prevent data leakage or misuse, and monitor data activity and behavior. Some examples of data access and role management tools are Active Directory, Azure Active Directory, and Okta.

添加您的观点

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Business Intelligence

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

You’re worried about data security in your BI projects. What tools can help you keep everything safe?

1

2

3

4

5

6

1 Data governance tools

2 Data encryption tools

3 Data masking tools

4 Data backup and recovery tools

5 Data access and role management tools

6 Here’s what else to consider

Business Intelligence

给文章评分

感谢您的反馈

更多Business Intelligence相关文章

更多相关阅读内容

You’re worried about data security in your BI projects. What tools can help you keep everything safe?

1

2

3

4

5

6

1 Data governance tools

2 Data encryption tools

3 Data masking tools

4 Data backup and recovery tools

5 Data access and role management tools

6 Here’s what else to consider

Business Intelligence

给文章评分

感谢您的反馈

查看其他技能