Modernizing Data Operations & Credit Risk Analytics for a Leading Financial Institution
Core Challenges
- Rapid Growth in Data Volume: Increasing amounts of transactional, risk, and customer data required the teams to move beyond legacy SQL and traditional data warehouse methods.
- Slow Query Performance: Queries across multiple sources (Hive, Iceberg, operational systems) were inconsistent and slow, affecting reporting and risk models.
- Security & Compliance Pressure: The institution needed stronger RBAC, access control, and data governance integrated directly into its lakehouse environment.
- Skills Gap in Modern Data Tools: Teams needed practical, hands-on upskilling to confidently operate, optimize, and secure distributed analytical workloads.
The Solution: A Structured Data Platform Enablement Program
We delivered a 10-session, hands-on enablement program designed to uplift engineering, analytics, and risk teams with practical skills in Starburst and modern data lakehouse tools.
Analytics & Training Approach
A bank-aligned learning journey including:
- Starburst fundamentals, connectors, and federated queries
- Iceberg & Hive lakehouse optimization modules
- Security & governance (RBAC, object filtering, row-level policies)
- Advanced SQL for banking & risk analytics
- Multi-source query performance tuning
- Hands-on labs using realistic bank use cases (credit risk, portfolio views, fraud signals)
Training Features & Experience
- Use-case focused financial datasets, risk workflows, regulatory reporting
- Performance optimization labs across Iceberg/Hive tables
- Security & Compliance focus with RBAC exercises
- Incremental immersion: 10-session structure enabling flexibility
- Tools mastery: Starburst Enterprise, Iceberg, SQL, access control systems
- Scenario-based labs: Operational data, customer 360, credit scoring datasets
Ready to Modernize Your Data Platform & Enable Your Analytics Teams?
Let’s design a tailored upskilling program to strengthen performance, security, and scalability across your data ecosystem.