Topic Covered:-
- Designing data processing systems.
- Designing data pipelines.
- Designing a data processing solution.
- Migrating data warehousing and data processing.
- Building and operationalization data processing systems
- Building and operationalization storage systems.
- Building and operationalization pipelines.
- Building and operationalization processing infrastructure.
- Operationalization machine learning
- Leveraging pre-built ML models as a service.
- Deploying an ML pipeline.
- Designing for security and compliance.
- Ensuring scalability and efficiency.
- Ensuring reliability and fidelity.
Highlights:
- 170+ Test Questions
- 4 Practice Tests
- Lifetime Access
- Detailed Explanation of correct and incorrect choice
- Reply to all queries/doubts at the earliest
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