Advantages: Scalability for massive data volumes, flexibility for diverse data types, cost-effectiveness for storing raw data.
Challenges: Data governance to ensure quality and lineage, schema evolution to manage new data types, and query optimization for efficient exploration.
The Data Vault
Now, picture a meticulously crafted australia whatsapp number data cathedral within the data lake, organized with a purpose. , the heart of your analytical power. It houses core business entities (customers, products, transactions) represented by “business keys,” independent of any specific source system. Data from the lake is cleansed, transformed, and enriched before entering the vault, becoming the building blocks for analysis.
Advantages: Historical analysis through event-driven data capture, efficient querying through a normalized data structure, agility, and adaptability through modular design.
Challenges: Maintaining data integrity during integration, balancing schema stability with evolving business needs, and ensuring data accessibility for diverse users.