Informatica has served as the backbone of enterprise data integration for decades. But in a world reshaped by agentic AI, legacy ETL platforms like Informatica PowerCenter and IDMC are becoming strategic bottlenecks - fragmenting governance, locking data in silos, and preventing organisations from building the unified data foundation that AI agents demand.
In this joint webinar with Accenture we will show you what a successful Informatica migration looks like end-to-end: from automated pipeline assessment and code conversion, through to deploying intelligent, agent-ready data products on the Databricks Data Intelligence Platform.
Whether you are running Informatica PowerCenter on-premises, IDMC in the cloud, or a hybrid estate, this session will give you a pragmatic framework to escape vendor lock-in, unify governance, and unlock agentic AI use cases your current architecture simply cannot support.
What You Will Learn
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The strategic case for treating Informatica migration as an AI enablement programme - not just a cost reduction exercise.
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How Databricks Lakeflow replaces Informatica's full capability stack: batch ETL, streaming ingestion, CDC-based replication, and data quality enforcement - all natively integrated with Unity Catalog.
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How Lakeflow Connect cuts enterprise ingestion costs by up to 90% vs legacy connectors, with native CDC support for databases, SaaS applications (Salesforce, Workday, ServiceNow), and cloud warehouses.
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A practical migration methodology: automated discovery and dependency mapping of existing Informatica pipelines, AI-powered code conversion (90% automation rates), and validation against Databricks-native patterns.
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The agentic use cases usually unlocked after migration: autonomous data quality agents, self-healing pipelines, Genie-powered business intelligence, and multi-agent orchestration over governed data.
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Real-world delivery patterns from Accenture's Databricks practice - backed by the 25,000-strong Accenture Databricks Business Group across Financial Services, Pharma, Retail, and Manufacturing.
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Live demo of the agentic use case on Databricks