Date & Time
June 24, 2026 9:30 PM
Venue
Online
From Data Chaos to AI-Ready Enterprise: Building the Modern Data Lakehouse
Most enterprises are drowning in fragmented data, spread across siloed warehouses, lakes, and legacy systems. This “data chaos” blocks analytics, slows decision-making, and delays AI adoption. The modern data lakehouse addresses this challenge by unifying structured and unstructured data on a single platform, leveraging open formats, and applying a medallion architecture to deliver governed, cost-efficient data access at scale.
In this session, you will learn how to move beyond reactive reporting and establish a data foundation built for real-time analytics, scalable machine learning pipelines, and generative AI workloads.
Webinar Highlights
- Identify the root causes of data fragmentation across enterprise systems
- Understand how medallion architecture improves data quality and usability across layers
- Evaluate how open data formats reduce complexity and prevent vendor lock-in
- Learn practical approaches to modernize legacy data environments into lakehouse architectures
- See how unified data platforms enable real-time analytics, ML workflows, and generative AI use cases
- Build trust in data through governance, lineage, and quality controls
Our Presenters
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