Data Lake Course
Master modern data lake architecture, from secure storage and ingestion to governance, lineage, cost control, and data quality. Build scalable, compliant data platforms that power analytics and AI in real-world technology environments.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This concise Data Lake Course shows you how to design secure, cost-efficient data lakes with strong governance and reliability. Learn storage foundations, ingestion patterns, and lifecycle policies, then master metadata, lineage, and data quality controls. Build compliant architectures with fine-grained access, encryption, PII protection, and robust monitoring so your data platform stays scalable, auditable, and easy to operate.
Elevify advantages
Develop skills
- Secure data lakes: apply IAM, encryption, masking, and fine-grained access.
- Optimize lake costs: tune storage, lifecycle tiers, and retention policies fast.
- Build reliable pipelines: design batch/stream flows with robust error handling.
- Govern metadata: implement catalogs, lineage tracking, and schema evolution.
- Enforce data quality: set SLAs, automate validation, and monitor pipeline health.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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