Azure Data Engineer Course Online | Training in Hyderabad
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Implementing GDPR Implementing GDPR Compliance in Azure Data Compliance in Azure Data Engineering Engineering Ensuring Data Privacy and Protection in the Cloud Presented by: [ Golla Kalyan Visualpath] preencoded.png www.visualpath.in +91-7032290546
Introduction to GDPR Introduction to GDPR The General Data Protection Regulation (GDPR) mandates stringent rules for handling personal data of EU citizens, impacting all data processing operations. Azure Data Engineering projects must integrate these requirements, focusing on transparency, explicit consent, data minimization, and upholding data subject rights. Transparency Transparency Consent Consent Openly communicate data processing activities. Obtain clear and informed consent for data use. Minimization Minimization Data Subject Rights Data Subject Rights Collect only essential data. Empower individuals with control over their data. preencoded.png www.visualpath.in +91-7032290546
Identify Personal Data Identify Personal Data Effective GDPR compliance begins with precise data identification and classification. This step is critical for understanding what personal and sensitive data resides within your Azure environment. Data Classification Data Classification Implement robust classification schemas to distinguish personal data (PII) from other data types. This involves defining categories like names, addresses, health information, and financial data. preencoded.png www.visualpath.in +91-7032290546
Data Minimization & Purpose Limitation Data Minimization & Purpose Limitation Adhering to GDPR's principles of data minimization and purpose limitation means collecting only the data strictly necessary for specified, explicit, and legitimate purposes. Define Purpose Define Purpose Filter & Transform Filter & Transform Anonymize/Pseudonymize Anonymize/Pseudonymize Clearly articulate the business need for Design Azure Data Factory (ADF) Utilize techniques like tokenization or each data element before collection. pipelines to actively filter out non- hashing when full personal data isn't essential personal data during required for analytics or testing. ingestion and processing. Proactive design of your data pipelines in Azure Data Factory (ADF) is crucial to prevent over-collection and ensure data remains relevant and proportionate to its intended use. preencoded.png www.visualpath.in +91-7032290546
Data Security & Encryption Data Security & Encryption Robust security measures, particularly encryption, are fundamental to protecting personal data from unauthorized access or breaches, both at rest and in transit. Data at Rest: Employ native Azure services like Azure Storage encryption for Blob and Data Lake Storage. For relational databases, enable Transparent Data Encryption (TDE) in Azure SQL Database and SQL Server on Azure VMs. Data in Transit: Ensure all data communication occurs over secure protocols such as HTTPS for web traffic and TLS for database connections and API calls. Key Management: Centralize and securely manage your encryption keys using Azure Key Vault, enhancing security and simplifying key lifecycle management. preencoded.png www.visualpath.in +91-7032290546
Access Control and Monitoring Access Control and Monitoring Strict access controls and continuous monitoring are vital for limiting who can access personal data and detecting potential security incidents. Role Role- -Based Access Control (RBAC) Based Access Control (RBAC) Azure Active Directory (AAD) Azure Active Directory (AAD) Implement the principle of least privilege by assigning granular permissions based on specific roles and responsibilities within your team. This prevents over-privileged access to sensitive data. Utilize AAD for centralized identity and access management, enabling single sign-on and multi-factor authentication for enhanced security. Furthermore, enable Azure Monitor for comprehensive logging and Azure Defender for Cloud for advanced threat detection and vulnerability management across your data engineering environment. Regularly review audit logs to track data access and modifications. preencoded.png www.visualpath.in +91-7032290546
Data Subject Rights Data Subject Rights GDPR grants individuals specific rights over their personal data, including the right to access, rectification, and erasure. Your Azure data engineering solutions must facilitate these requests efficiently. 1 1 2 2 3 3 Right to Access Right to Access Right to Rectification Right to Rectification Right to Erasure (Right to be Right to Erasure (Right to be Forgotten) Forgotten) Provide mechanisms for data subjects Enable processes for individuals to Establish secure and verifiable to easily request and receive a copy of request correction of inaccurate or methods to permanently delete their personal data held within your incomplete personal data. personal data upon a valid request, systems. ensuring it's removed from all relevant storage locations. Design Azure Data Factory pipelines to automate the processing of these data subject requests, minimizing manual intervention and ensuring timely compliance. Maintain detailed audit logs for all data updates and deletions to demonstrate adherence during compliance audits. preencoded.png www.visualpath.in +91-7032290546
Data Retention and Deletion Data Retention and Deletion GDPR mandates that personal data be kept for no longer than is necessary for the purposes for which it is processed. This requires clearly defined retention policies and automated deletion processes. Set granular data retention policies on Azure Data Lake Storage and Azure Blob Storage using lifecycle management rules. These policies automatically move data to cooler tiers or delete it after a specified period. Develop and implement automated deletion workflows within Azure, ensuring that data is permanently removed when its retention period expires or upon valid data subject requests. Document these processes thoroughly for auditability. preencoded.png www.visualpath.in +91-7032290546
Conclusion & Best Practices Conclusion & Best Practices Achieving and maintaining GDPR compliance in Azure Data Engineering is an ongoing commitment, not a one-time project. It requires continuous vigilance and adaptation. Leverage Azure Leverage Azure- -Native Tools Native Tools Prioritize Security by Design Prioritize Security by Design Foster a Culture of Foster a Culture of Compliance Compliance Embed security and privacy Utilize Azure Purview, Azure Data Educate teams on GDPR principles considerations into every stage of Factory, Azure Key Vault, Azure and best practices, ensuring that data your data engineering pipeline Monitor, and Azure Active Directory to privacy is a shared responsibility development, from inception to streamline governance and security across all roles. deployment. efforts. By prioritizing security, transparency, and accountability in all data practices, organizations can build trust with data subjects and ensure a robust, compliant data environment in the cloud. preencoded.png www.visualpath.in +91-7032290546
For More Information About Azure Data Azure Data Engineering Address:- Flat no: 205, 2nd Floor, Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad-16 Ph. No: +91-998997107 www.visualpath.in online@visualpath.in Engineering www.visualpath.in +91-7032290546
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