Data Warehouse Modernization Using Delta Lake and Databricks
Plag ProCloud Data Engineering & Modern Analytics PlatformsProject Objectives:
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.
Project Tasks:
Study Delta Lake architecture and ACID compliance.
Configure Databricks workspace.
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.
Automate ETL workflows.
Implement access control policies.
Compare performance with legacy systems.
Document modernization approach and outcomes.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Distributed Data Processing Using Apache SparkImplementation Of Acid-Compliant Storage Using Delta LakeCloud-Based Analytics Development On DatabricksEtl/Elt Workflow Automation And Performance TuningData Modeling (Star Schema) And Query Optimization Techniques
