Database Modernization

3X Faster Modernization,70% Database Debt Elimination: “GENAI Streamlines Tech Modernization by Automating Database Analysis and Reducing Manual Processing Time”

OVERVIEW

Consolidation & Migration of a 40-year-old de-normalized Oracle database to a target SQL database for a top US environmental services firm, challenged by integration issues stemming from 17 disparate applications post-acquisition, each with unique technological landscape setups. This necessitated an immediate consolidation and modernization effort.

Core challenges we encountered

Unidentified Keys

The absence of primary and foreign key constraints in over 86% (1384 out of 1601) of tables leads to ambiguity in data identification and retrieval

Stuck in Slow Motion

Manually analyzing stored procedures written in an obscure SQL dialect was a slow process hindered progress and innovation.

Wasted Storage & Inconsistent Data

Tables have too many columns and lack a naming standard, causing inefficiency and maintenance issues

Poor Error Handling

Cryptic or non-existent error messages cause crashes when invalid data is entered, disrupting user workflow, and requiring restarts.

The Indexing Gap

Missing or outdated indexes make accessing data slow. outdated indexes not reflecting current access patterns,

Inconsistent Database Roles

All users share the same powerful database role, granting them access beyond intended application permissions.

Our Solutions

Automated database analysis to extract key (primary & foreign) constraints and map table relationships, providing a crystal-clear view of the entire database.

Our Gen AI automated the analysis through prompt engineering, streamlining table mapping and saving valuable time.

Implemented data normalization to optimize storage efficiency and accelerated query performance to minimize data redundancy.

Improved Error Handling with clear messages and provided a better user experience.

Improved query performance by identifying and addressing slow queries, implementing targeted indexes, and maintained efficiency.

Optimized Indexing to analyze queries and create new indexes for faster data retrieval.

Business Impacts

3X Faster Modernization

Using GenAI in semantic mapping analysis helped in achieving faster DB modernization by 3X

Enhanced scalability

Well-structured database facilitated easier integration of new data and functionalities enabling business growth

Improved Operational Efficiency

Streamlined data access, faster queries, and a well-organized database led to increased productivity.

70% Database Debt Elimination

Consolidation and modernization eliminated 70% of database debt by addressing integration issues, optimizing storage, and implementing data normalization, resulting in enhanced productivity and performance.