Scenario: Your organization is planning to migrate its data infrastructure to a Data Lake architecture. What considerations should you take into account during the planning phase?
- Data Mining Techniques, Data Visualization Tools, Machine Learning Algorithms, Data Modeling Techniques
- Data Warehousing, Data Cleaning, Data Replication, Data Encryption
- Relational Database Management, Data Normalization, Indexing Techniques, Query Optimization
- Scalability, Data Governance, Data Security, Data Structure
When planning a migration to a Data Lake architecture, considerations should include scalability to handle large volumes of data, robust data governance practices to ensure data quality and compliance, stringent data security measures to protect sensitive information, and thoughtful data structure design to enable efficient data processing and analysis.
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