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Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Securing Data on GCP: Encryption and DLP
Google Cloud encrypts stored data by default, so that is rarely the gap. The work is knowing where sensitive data is and limiting who sees it in clear. This guide covers default encryption, customer-managed keys, Sensitive Data Protection and BigQuery masking, and shows why hashing a phone number protects little.
Securing Azure Data Factory: Managed Identities
A managed identity lets Azure Data Factory reach storage, databases and Key Vault with no password stored anywhere. This guide explains the two kinds of identity, the exact permissions to grant for common sources and sinks, the linked service definitions, and the documented warning about who can use the identity.
Securing Data on AWS: Encryption and KMS
A practical guide to securing data on AWS with encryption: what encryption at rest and in transit protect against, how AWS KMS and key policies work, envelope encryption shown step by step in code, the S3 server-side encryption options, why a KMS key adds a second permission check, and the mistakes that lock data away.