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Date & Time

Jun 17, 2026 09:30 PM

Venue

Online

Data Mesh vs Data Fabric: The Future of Data Architecture

Modern enterprises are generating more data than ever before.

But scaling, governing, and managing that data efficiently remains a major challenge.

As organizations accelerate digital transformation, modern data architectures like Data Mesh and Data Fabric are redefining how businesses handle data at scale.

What You Will Learn

  • Data Mesh vs Data Fabric explained simply
  • Key benefits and challenges
  • Real-world enterprise use cases
  • Governance and scalability best practices
  • Choosing the right architecture strategy

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Our Presenters

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    Laxminarayanan

    Laxminarayanan G

    AI & Gen AI Leader - AI Transformation Advisor

    Laxminarayanan G. is a strategic AI and Generative AI leader with over 20 years of experience driving large-scale digital transformation across BFSI, CPG, and technology sectors. He has led AI-led enterprise transformation initiatives for Fortune 500 organizations, delivering measurable business impact exceeding $20M.

    A two-time TEDx speaker and trusted advisor to premier institutions such as ISRO and leading IIMs, Laxmi specializes in designing AI transformation roadmaps, operationalizing GenAI strategies, and aligning advanced analytics with business outcomes.

    OLYMPUS DIGITAL CAMERA

    Ramkumar K

    Data & Analytics Leader, Cloud Data Architect, Enterprise Transformation Expert

    Ramkumar K is a highly accomplished data professional with extensive experience in the data and analytics domain, bringing strong expertise across AWS, GCP, and Microsoft Azure platforms. He specializes in architecting and delivering end-to-end data solutions, encompassing data engineering, governance, and advanced analytics. With a strategic and results-driven approach, Ram focuses on building scalable, high-performance data ecosystems that drive business value. He has consistently delivered impactful, data-driven outcomes across multiple industries, demonstrating excellence in solving complex data challenges and enabling enterprise-wide digital transformation.