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Neeta Goel

Neeta Goel

CEO @ Newt Global

Neeta Goel is the Founder of Newt Global and brings more than 30 years of global IT consulting experience to her role, having worked closely with diverse teams in Japan, Singapore, India, and the United States to deliver innovative technology solutions for complex business challenges. Throughout her career, she has played pivotal roles as a developer, DBA, lead architect, analyst, quality manager, and delivery manager—amassing a broad perspective on the entire software development lifecycle.

A seasoned strategist, Neeta has set up R&D centers for IT application teams and devised competitive approaches for technology adoption and training. She has been instrumental in the development of cutting-edge technology platforms at Newt Global, keeping pace with rapidly evolving industry trends.

POSETTE 2025 Talk

Migrating from Oracle to Azure Database for PostgreSQL, Seamlessly

(Livestream 3)

Oracle to PostgreSQL migrations are a compelling trend. And many of you who are migrating from Oracle to PostgreSQL in the cloud are doing so to make it easier for AI adoption—and to reduce your licensed software & hence costs. However, migrating databases the traditional way is often slow, complex, and resource-intensive—presenting challenges in schema conversion, data migration, and application remediation.

In this talk you’ll learn how to use the Cloud Migration Cockpit (CMC) Framework to accelerate the migration process by 4x and automate critical phases such as assessment, schema conversion, data migration, and SQL remediation for applications & interfaces—ensuring high accuracy and minimal disruption. Additionally, CMC provides a systematic and efficient approach to manage the entire migration lifecycle, including infrastructure provisioning, testing support, production cutover planning, and eventually going live with PostgreSQL databases.

You’ll also learn from real-world case studies and best practices for seamless Oracle to Azure Database for PostgreSQL migration. Leveraging AI and automation, database migrations that once took 12 months can now be completed in just 12 weeks.

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