Newt Global’s Data Modernization Acceleration Platform (DMAP) is an enterprise grade best in class customizable platform, powered with the machine learning capabilities of GenAI & GitHub Copilot to facilitate accelerated Oracle & Application migration and modernization to Azure PostgreSQL database leading to deep reduction in time and effort up to 80%.

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DMAP Features

DB Assessment at Scale: Assess the migration complexity, analyze conversion statistics and conversion errors details of multiple schemas concurrently with actionable insights for DB storage objects, code objects, and schema conversion effort.

App Assessment at Scale: Assess multiple applications simultaneously to determine type of SQL statements embedded in application code such as procedure calls, static queries vs dynamic queries with variables, and queries in conditional IF ELSE blocks.

Schema Conversion: Automatically convert 80 to 100% of storage and code objects in database.

Application Conversion: Automatically convert up to 80% of Oracle PL/SQL code in application.

• Analyze codebase for dead code that is never executed in a running program
• Assess whether Java application requires JRE version upgrade to meet the minimum version necessary for optimal functionality on Azure

Database Performance Analysis: Evaluates Oracle database performance analysis based on AWR trend to identify bottlenecks and inefficiencies that can impact its speed and responsiveness.

• Insights on CPU/Memory utilization, Read/Write IOPS & Throughput IO statistics, session and logon details, top resource intensive SQLs and large table analysis
• Recommended Azure PostgreSQL solution

Data Migration: Simultaneously migrate data from multiple databases and schemas through a highly optimized process to minimize downtime.

Schema Validation: Verify that the target database schema accurately represents the structure, relationships, and constraints of the data being migrated. It aims to assist in the identification and rectification of schema-related issues, ensuring data integrity and optimal database performance.

Data Validation: Confirm the accuracy of the migrated & transformed data in the target. It aims to assist in resolving data-related issues, ensuring accuracy, completeness, and consistency in the target.

Advanced Analytics:

• Insights on migration complexity and database/schema/application migration analysis
• Data Migration Approach & Estimate
• Target Azure architecture
• Right sized Azure SKU recommendations to run similar workloads on Azure.
• Summary of Azure investment (ACR) required

• Summary of one-time migration effort required for schema conversion, data migration, and database & application modernization
• TCO & ROI analysis showing estimated savings and break-even point

DMAP Benefits