Data Masking & Encryption
Azure Cloud Data Engineering Training in Hyderabad – Quality Thoughts
Quality Thoughts offers one of the best Azure Cloud Data Engineering courses in Hyderabad, ideal for graduates, postgraduates, working professionals, or career switchers. The course combines hands-on learning with an internship to make you job-ready in a short time.
Our expert-led training goes beyond theory, with real-time projects guided by certified cloud professionals. Even if you’re from a non-IT background, our structured approach helps you smoothly transition into cloud roles.
The course includes labs, projects, mock interviews, and resume building to enhance placement success.
Why Choose Us?
1. Live Instructor-Led Training
2. Real-Time Internship Projects
3.Resume & Interview Prep
4 .Placement Assistance
5.Career Transition Support
Join us to unlock careers in cloud data engineering. Our alumni work at top companies like TCS, Infosys, Deloitte, Accenture, and Capgemini.
Note: Azure Table and Queue Storage support NoSQL and message handling for scalable cloud apps
Data Masking & Encryption
Data Masking and Encryption are two essential techniques used to protect sensitive data from unauthorized access, ensuring data privacy, compliance, and security in modern IT environments.
Data Masking
Data masking hides real data by replacing it with fictional but realistic data. It is typically used in non-production environments like development or testing, where real data is not necessary. Types of masking include:
Static masking: Replaces data at rest in a copy of the database.
Dynamic masking: Masks data in real-time as it is retrieved, without changing the original.
For example, a masked credit card might look like **** **** **** 1234, ensuring developers/testers can work without exposing sensitive information.
Data Encryption
Encryption transforms data into an unreadable format using algorithms and encryption keys, ensuring only authorized users can decrypt and access it. There are two main types:
Symmetric encryption: Uses a single key for encryption and decryption (e.g., AES).
Asymmetric encryption: Uses a public-private key pair (e.g., RSA).
Encryption is used for data at rest (on disk) and data in transit (over networks), protecting it from interception or theft.
Key Differences:
Purpose: Masking is for obfuscation (usually for testing), while encryption ensures data confidentiality.
Reversibility: Encryption can be reversed (decrypted) by authorized users; masking is often irreversible.
Use in Azure:
Azure supports both techniques through services like Azure SQL Data Masking, Azure Key Vault for encryption key management, and Azure Storage Encryption.
Together, masking and encryption play a crucial role in securing data, meeting GDPR, HIPAA, and PCI-DSS requirements
Private Endpoints for Data Services
Network Security Groups (NSGs)
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