To modernize traditional data warehouse systems using Delta Lake and Databricks by implementing ACID transactions, schema evolution, and optimized batch and streaming data processing for scalable business analytics.
Study Delta Lake architecture and ACID compliance.
Load historical data into Delta tables.
Implement schema evolution strategies.
Perform batch and streaming data ingestion.
Optimize queries using Z-order indexing.
Implement time travel queries.
Monitor cluster performance.
Apply data validation checks.
Design star schema for reporting.
Implement access control policies.
Compare performance with legacy systems.
Document modernization approach and outcomes.
