For Yogesh Gadhiya himself, the project was a career highlight in that it displayed his capacity for making key architectural ...

Myth: Data migration can easily be done ... t mesh well with the outdated data formats/architecture/storage protocols of their legacy systems. Or, they might be looking to overhaul their PAS ...

This transition allows the bank to improve its consumer and business deposit offerings within a modern banking framework.

It mainly addresses cloud architecture alignment, migration and optimization ... His work entails data mirroring and load balancing and refreshing to improve systems efficiency and users ...

Through his research and technical leadership, Naveen continues to contribute to the evolution of trustworthy, adaptive ...

Success no longer hinges on hindsight dashboards or quarterly reviews; it depends on how intelligently and swiftly an enterprise can respond to the present.

The following diagram shows how real-world systems often look in a microservice architecture ... database after migration. To avoid this, engineers may create new data models in a new service ...

Transitioning from a monolithic architecture to a microservices-based system requires more than ... than ad-hoc dual-write logic. Figure 2: Data migration using dual-write approach However ...

Migrating legacy code and applications to modern systems is ... for an application migration. Understanding the existing system’s business purposes, workflows, and data requirements is essential ...

The migration that rewrote the data playbook of one of ... Michael Abbott, Accenture Each colleague brought a specific competency: campaign strategy, data analytics, system architecture. Together, ...

The Kyndryl service is based on the AWS Transform package that uses agentic AI system to modernize mainframe workloads.