Infolob, a pioneer of cloud, data, and AI technologies, envisions to digitally transform enterprises at a global scale with our portfolio of innovative services and established success across multiple industries and dimensions. In the environments where data is siloed and analytics across multicloud environments disrupt, we come up with a solution – Oracle Autonomous Lakehouse, a platform designed for today’s most demanding analytical and AI workloads.
This webinar from one of our key engineer dives into how Iceberg-based open lakehouse architecture and catalog federation create a governed, interoperable data layer. Learn how shared metadata unlocks cross-platform analytics, AI pipelines, and true multicloud freedom — without vendor lock-in.
Krishnakumar Mohanram
Oracle Ace Pro and International Speaker
A globally recognized cloud and data architecture specialist with deep expertise in modern data platforms, disaster recovery, and enterprise cloud strategy. Krishnakumar is the co-author of three internationally published Oracle technical books and a frequent contributor, speaker, and judge in international technology communities worldwide.
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Agenda
In this webinar, we’ll explore:
- Data Silos in Multicloud: Why traditional data architectures fail across cloud boundaries, and the cost of fragmented metadata.
- Open Lakehouse Architecture and Apache Iceberg: Understanding open table formats, schema evolution, time-travel queries, and how Iceberg enables engine-agnostic data access.
- Catalog of Catalogs: The way of federated metadata catalogs unifies disparate systems into a single governed namespace across engines and clouds.
- Lakehouse Capabilities: See how Oracle’s Autonomous Database and lakehouse capabilities fit into the federated catalog paradigm.
- AI Readiness and Governance: Building analytics and AI pipelines on top of interoperable data by ensuring governance.
Key Takeaways
- Unified Meta Data Strategy: Understanding of how shared metadata and open table formats dramatically improve cross-platform analytics and eliminate redundant data pipelines.
- AI-Ready Data Foundations: Learn how catalog federation and Iceberg-based architectures create the interoperable foundation your AI and ML workloads demand.
- Multicloud Realities: Get an honest assessment of the benefits, challenges, and current maturity of multicloud data interoperability.
Data architects, Data engineers, Analytics teams, Cloud architects, and Governance professionals can leverage our insightful session that will drive you to implement a perfect-fit approach towards Oracle Autonomous Lakehouse.
