International Network Performance and Security Testing Based on Distributed Abyss Storage Cluster and Draft of Data Lake Framework

Table 1

Key differences between data warehouse and Data Lake.

Items	Data warehouse	Data Lake
Data	Structured, processed	Structured/semistructured/unstructured, raw
Processing	Schema-on-write	Schema-on-read
storage	Expensive for large data volumes	Designed for low-cost storage
Agility	Less agile, fixed configuration	Highly agile, configure and reconfigure as needed
Security	Mature	Maturing
users	Business professionals	Data scientists, etc.