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📽️ Data Lakehouse Revolution: Mastering Exabyte-Scale Data Management for the AI Era

The exponential growth of enterprise data has pushed traditional architectures to their limits, creating a critical need for innovative solutions. While data lakes offer scalable storage and data warehouses provide analytical capabilities, neither alone can fully address modern data challenges. Enter the data lakehouse architecture – a groundbreaking approach that has transformed how industry leaders like ByteDance manage massive datasets powering their AI-driven recommendation systems.
This presentation unveils the practical implementation of data lakehouse architectures that seamlessly merge data lake flexibility with warehouse functionality. We'll examine how cutting-edge technologies like Apache Iceberg and Delta Lake enable organizations to achieve remarkable efficiency gains, including 30% storage cost reduction, while maintaining crucial ACID compliance and dynamic schema evolution. The integration of Apache Spark's distributed computing framework empowers real-time processing of petabyte-scale data, supporting everything from conventional business intelligence to sophisticated machine learning workloads within a unified ecosystem.
Beyond technical specifications, we'll explore how data lakehouses are reshaping enterprise data strategies by eliminating costly ETL overhead and breaking down persistent data silos. Attendees will gain first-hand insights into architecting scalable data lakehouse solutions that maintain peak performance from terabyte to exabyte scale. The session concludes with a practical roadmap for organizations to leverage this transformative architecture, enabling data-driven innovation and strategic decision-making in today's rapidly evolving digital landscape.


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🗣️ Siddhartha Parimi Parimi
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Dell Technologies Product Manager

Siddhartha Parimi is a Technical Product Manager at Dell Technologies who specializes in enterprise data architecture, analytics, and AI-driven modernization initiatives. In his current role, he leads the implementation of modern Lakehouse architectures and drives enterprise-wide data strategies that optimize scalability and operational efficiency.
At Dell, Siddhartha has demonstrated exceptional ability in transforming innovative concepts into enterprise-scale solutions. His leadership in implementing advanced Lakehouse architecture has revolutionized the company's data management capabilities, resulting in significant cost reductions while strengthening data governance and compliance frameworks.
During his tenure at Deloitte Consulting, he spearheaded major data transformation projects, including the successful deployment of an Accounting Hub that standardized financial data management and governance. At Swanktek Inc., Siddhartha architected a pioneering business intelligence solution for Montgomery County's Department of Health and Human Services, unifying numerous disparate programs into a consolidated data platform that enhanced service delivery and data integrity.
With a Master's degree in Engineering from Wright State University, Siddhartha brings deep expertise in modern data platforms, cloud architecture, and agile methodologies. His career path, spanning from Software Developer at Blackberry to his current leadership role at Dell Technologies, reflects his consistent ability to drive technological innovation while delivering tangible business outcomes. Siddhartha has established himself as a thought leader in enterprise data modernization, known for implementing scalable solutions that balance technical excellence with strategic business objectives.


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