During the test requirement analysis of a large-scale ETL project involving big data technologies, what unique considerations should be taken into account?
- Data distribution across nodes, Scalability, Fault tolerance, Hadoop ecosystem tools
- Data encryption algorithms, User access controls, Data partitioning, Schema design
- Data profiling, Metadata management, Data lineage tracking, Database indexing
- Relational database design, Stored procedures, Data normalization, Data consistency
Large-scale ETL projects with big data technologies require unique considerations, including data distribution across nodes, scalability, fault tolerance, and familiarity with the Hadoop ecosystem tools. Understanding these aspects is crucial for effective testing and optimization.
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