Quantiphi's Qatapult- Data Migration Factory on AWS

As enterprises strive for agility, scalability, and long-term growth, migrating data to the cloud has become a strategic imperative. However, transitioning to a modern cloud environment presents several challenges including high data duplication expenses, schema conversion complexities, limited availability of skilled experts, and compliance control issues.

Quantiphi's Qatapult- Data Migration Factory delivers risk-minimized, high-performance data migration to AWS through an AI-powered, factory-driven approach. Our SNAP (Strategize-Navigate-Automate-Persist) methodology, enhanced with GenAI capabilities, accelerates migration while maintaining compliance, optimizing costs, and minimizing business disruption.

Designed for scalability and future readiness, our migration factory enables organizations to streamline data transition across databases/warehouses, data objects and scripts, and data pipelines and ETL workflows.

Migration Approach: Qatapult provides holistic coverage throughout the SDLC and streamlines data migration to AWS in a phased manner using SNAP methodology

• Strategize: Deep analysis of your current data environment to understand your data landscape, schemas, and migration complexity.
• Navigate: Our robust tools and methodologies facilitate the seamless conversion and transfer of your databases, data warehouses, data objects, scripts, and ETL pipelines to AWS.
• Automate: We execute the migration with advanced automation techniques to minimize disruption and ensure data consistency.
• Persist: We provide ongoing support and optimization to maximize your cloud investment and ensure operational efficiency

Key Components: Qatapult Data Migration Factory harnesses specialized modernization pipelines for Database/ data Warehouse schema, Data objects & scripts, and Data pipeline & ETL, which leverage AI powered microsolutions for acceleration & rapid automation of purpose-specific source to target (AWS) conversions-

• Database / Data Warehouse Schema: Automated Database/ Warehouse Schema Conversion & Migration. Examples of key source to target conversion dispositions include: Oracle to Amazon Aurora PostgreSQL, Teradata to Amazon Redshift
• Data Objects & Scripts: Automated interoperability Analysis & Middleware ConversionAutomated Data Object Conversion & Optimization. Examples of key source to target conversion dispositions include: Oracle to PostgreSQL, stored procedures from Snowflake to Amazon Redshift
• Data Pipeline & ETL: Automated ETL Translation & Orchestration. Examples of key source to target conversion dispositions include: Ab Initio to PySpark, SAS to PySpark

Key Features:

• Automated Discovery: Automatically identifies and inventories all your data assets, their components, and configurations.
• AI-Powered Conversion: Intelligent transformation of DB/DWH schema, and associated components to cloud-native equivalents.
• Dependency Mapping: Quickly identifies and maps database- application dependencies for intelligent migration planning.
• Performance Optimization: Ensures applications are optimized for cloud performance after modernization.

Outcomes: Qatapult streamlines end-to-end Data migration, delivering ~30% faster workload migration & ~40% process automation, Enterprises can also achieve the following business outcomes:

• Reduced Migration Risk and Downtime: Automated processes, continuous replication, and robust testing capabilities minimize data loss risk, and disruption
• Enhanced Application Performance: Modernized technology landscapes deliver better performance, scalability, and user experience.
• Operational Efficiency: Minimize manual intervention and reduce IT operations tickets
• Cost Optimization and Savings: Our offering helps identify and capitalize on cost-saving opportunities post-migration
• Robust AWS Foundation: AWS well-architected framework & best practices adoption with a compliant & secure infrastructure

Contact us today to get started at jim.keller@quantiphi.com