CASE STUDY From Six-Hour Loads to Forty Minutes: How a Global Financial Enterprise Transformed Its Data Platform with Databricks A global insurance organization partnered with KPI Partners to modernize its enterprise data platform by migrating its Oracle Autonomous Data Warehouse (ADW) environment to Databricks. Using KPI Partners Data Platform Migration Accelerator , enhanced with GenAI-assisted code conversion and an automated data validator , the organization transitioned its legacy workloads into a scalable, cloud-native architecture that improves performance, reliability, and long-term flexibility. The modernization delivered significantly faster data processing, increased confidence in data quality, and reduced operational overhead, creating a future-ready platform for analytics and AI. www.kpipartners.com Case Study: Building a High-Performance, Low-TCO Analytics Foundation Organizations running legacy Oracle ADW environments often struggle with high operational costs, slow processing times, and complex incremental load logic. This case study demonstrates: • How Databricks full-load performance enabled a shift to a simpler, more reliable load strategy • How KPI Partners GenAI-assisted Data Platform Migration accelerated code and schema conversion • How eliminating legacy PL/SQL pipelines reduced long-term TCO • How automated validation ensured complete accuracy and functional parity The legacy Oracle ADW environment presented several limitations: • High operational and licensing costs • Slow workloads — incremental loads took up to 6 hours • Complex PL/SQL processes that were hard to maintain • Limited scalability for growing analytics needs • Lack of a modern foundation for AI and ML initiatives The client needed a platform that would reduce complexity, improve performance, and lower total cost of ownership while preserving functional accuracy. • Client: Global Insurance Company • Industry: Insurance • Location: Global • Engagement: Oracle ADW → Databricks Migration A dramatic improvement over 6-hour Oracle incremental loads, enabling a simpler and more reliable load architecture. Retiring legacy PL/SQL pipelines reduced maintenance effort and long- term operational overhead. Hybrid loading and automated validation improved data completeness and eliminated prior inconsistencies. Dashboards powered by the new Databricks platform became some of the most widely used analytics assets across the organization. The client is a global insurance company with large-scale analytical workloads supporting core business functions such as underwriting, sales, and operations. As data volumes and analytics needs expanded, the organization required a more scalable and cost-efficient platform that could support future AI and advanced analytics initiatives. To address these challenges, the client partnered with KPI Partners to migrate legacy Oracle ADW workloads to Databricks and establish a high-performance cloud architecture. Client Overview TL;DR: Key Takeaways Challenges At a Glance Key Results Full Data Loads on Databricks Reduced Codebase & Lower TCO Enterprise-Wide Adoption Higher Data Trust “KPI Partners and Databricks provided the architectural clarity and technical guidance we needed to move forward with confidence. Their support helped align all stakeholders on the go-forward design and accelerated the success of the project.” —Director, Enterprise Data Platforms 40 Min KPI Partners modernized the client’s Oracle ADW environment using it s Data Platform Migration Accelerator, incorporating GenAI-assisted code transformation and an automated validation engine to ensure accuracy, speed, and consistency. Our Solution • GenAI-assisted PL/SQL → Databricks SQL/PySpark conversion • Automated data, schema, and logic validation • Migration of historical data and schemas • Re-engineering of Oracle snapshots into Delta snapshots • Job scheduler migration to Databricks Workflows • Faster full-load performance, improved data reliability • Delivered using KPI’s Data Platform Migration Accelerator Solution Highlights KPI Integration Framework on Bronze Layer Silver Layer Intermediary tables and views Facts and Dims for PowerBI Semantic Models Gold Layer Databricks Notebooks Databricks Notebooks Workflows Key Technologies Platform: Databricks on AWS Migration Accelerator: KPI Data Platform Migration Accelerator with GenAI-assisted code conversion Validation: KPI Automated Data Validator for data, schema, and logic parity Data & Schema: Oracle ADW historical data and schemas migrated to Databricks Workflows: Oracle PL/SQL jobs re-engineered as Databricks Jobs & Workflows Snapshots: Oracle ADW snapshots rebuilt as Databricks Delta snapshots Transformations: Databricks SQL and PySpark Migration of Core Oracle ADW Assets KPI migrated all key Oracle ADW components, including: • Historical data migrated into Databricks • Database schemas • rebuilt in Databricks • PL/SQL logic converted to Databricks SQL and PySpark • Oracle ADW snap- shots re-engineered as Databricks Delta snapshots • Oracle job schedulers rebuilt as Databricks Jobs & Workflows This ensured functional parity while eliminating legacy dependencies. High-Performance Load Architecture Databricks enabled full data loads in ~40 minutes, allowing the client to simplify its pipeline landscape and retire complex incremental load processes. Automated Validation for Accuracy KPI Partners automated validator verified: • Row-level data parity • Schema completeness • Logic equivalence • Snapshot correctness This significantly reduced testing time and improved confidence in the migration outcome. Migration of Core Oracle ADW Assets The new Databricks platform provides: • Greater scalability • Support for AI/ML workloads • More flexible job orchestration • Easier onboarding for new data domains 1 2 3 4 Why KPI Partners? • Accelerator-Led Modernization KPI Partners’ GenAI-powered Data Platform Migration Accelerator delivered accurate code and schema conversion, automated validation, and faster implementation cycles, reducing risk and improving consistency. • Deep Oracle-to-Databricks Expertise Proven experience converting Oracle schemas, PL/SQL logic, snapshots, and workflows into optimized Databricks workloads. • Lower TCO & Simplified Operations Retiring legacy pipelines and reducing maintenance overhead created a more sustainable platform. • Future-Ready Architecture A scalable Databricks foundation supports advanced analytics, AI, and long-term data growth. About KPI Partners About KPI Partners KPI Partners is a global strategic partner for Analytics and Digital Transformation solutions, delivering advanced capabilities in Data Science, GenAI, AI/ML, Cloud Databases, Data Engineering, Analytics & Visualization, and DevOps/DevSecOps/MLOps. Founded in 2006 and headquartered in Newark, California, KPI Partners supports a wide range of clients, including several Fortune 500 companies across industries such as high-tech, retail, CPG, f inancial services, insurance, manufacturing, and life sciences. Recognized by Gartner, the company has completed over 1000 successful projects for more than 300 clients. With a global team of 600+ consultants located across North America, Latin America, and India, KPI Partners offers deep industry expertise and broad delivery capabilities. Offices are located in Silicon Valley (HQ), Boston, New York, Atlanta, Los Angeles, Guadalajara (Mexico), Bangalore, Hyderabad, and Pune. +1-510-818-9480 info@kpipartners.com www.kpipartners.com Schedule a Consultation