Modernizing Enterprise HR Analytics with SmartMigrate
PeopleStrong modernized its Cloudera analytics ecosystem on Google Cloud with BluePi and SmartMigrate, improving report response times from 15-30 minutes to under 5 minutes.
PeopleStrong
Client
HR Technology and SaaS
Industry
Data Platform, Business Intelligence, Data Governance
Services
Report response improved to under 5 minutes
Key Result
The Challenge
Complex legacy analytics estate
PeopleStrong operated a large HR and payroll analytics ecosystem with 2,000+ Impala SQL queries, 800 Spark transformation jobs, 1,800+ Kudu tables, and 30 Kylin cubes.
The environment supported multi-source ingestion from SQL Server, MariaDB, and PostgreSQL while serving multi-tenant enterprise reporting workloads.
Long reporting and refresh windows
Report generation took 15-30 minutes during peak business hours, and analytics refresh cycles could take up to 8 hours.
Complex Impala queries with 20-30 joins, shared Cloudera cluster contention, and Kylin maintenance overhead limited agility and reliability.
Sensitive multi-tenant HR data requirements
The platform needed near real-time reporting, concurrent enterprise workloads, stronger operational resilience, and governance controls for HR and payroll data.
Projected annual data growth of 20% made scalability and simplified operations core modernization goals.
Our Solution
- 1
Cloud-native analytics platform on Google Cloud
BluePi designed a target architecture using BigQuery for analytics workloads, Datastream and Debezium for CDC ingestion, BI Engine for query acceleration, and native BigQuery aggregations to replace Kylin cubes.
The platform incorporated row-level security, encryption, IAM, audit logging, and multi-tenant controls for enterprise-grade governance.
- 2
SmartMigrate-led SQL and workload conversion
BluePi used SmartMigrate to automate Impala-to-BigQuery SQL conversion, analyze query patterns, identify dialect incompatibilities, benchmark workloads, and reconcile migration outputs.
The accelerator helped modernize 2,000+ Impala SQL queries, 500+ data warehouse transformation queries, complex multi-join reporting logic, and parameterized enterprise reporting workloads.
- 3
End-to-end data platform modernization
The engagement covered CDC pipeline implementation, historical data migration, Spark-to-BigQuery SQL conversion, attendance processing modernization, KPI and dashboard modernization, security implementation, and performance validation.
BluePi used phased execution, validation checkpoints, reconciliation mechanisms, and parallel-run testing to reduce disruption and protect business continuity.
Business Impact
Report response improved to under 5 minutes
The target platform was designed for sub-5-minute report response times, down from 15-30 minutes during peak business windows.
Analytics refresh reduced from 8 hours to 30 minutes
BigQuery-native optimization, partitioning, clustering, materialized views, BI Engine, and workload-aware query tuning supported faster analytics refresh cycles.
500+ report executions per hour supported
The modernized platform was designed to support concurrent enterprise reporting workloads and 500+ report executions per hour with improved peak-hour stability.
Lower legacy dependency and stronger AI readiness
PeopleStrong moved from a maintenance-heavy analytics environment toward a scalable cloud-native data platform with simplified architecture and better readiness for future analytics and AI workloads.
Client testimonial
BluePi brought strong technical expertise and execution discipline to our data platform modernization initiative. Using their SmartMigrate accelerator, the team helped streamline the migration of 2,000+ SQL queries, 800 Spark jobs, and 30 analytics cubes from Cloudera to BigQuery.