From Data Engineering to AI Agents: How Sovereign Lakehouse Platforms Are Transforming Enterprise AI
16th October 2026, Kathmandu
Discover how Data Nature and Dlytica Academy bring Data Engineering, Apache Iceberg, Medallion Architecture, RAG, and AI Agents together. Register for the FREE live workshop on October 30, 2026!
The modern data landscape is evolving at a breakneck speed. In recent years, enterprise architecture has shifted from traditional cloud data warehouses to unified Lakehouse architectures. Today, we are witnessing the next big leap: Agentic AI running directly on top of sovereign data infrastructure.
As organizations move beyond basic Large Language Model (LLM) prompts toward autonomous AI Agents and Retrieval-Augmented Generation (RAG) workflows, one critical question emerges:
How do modern Data Engineering, Lakehouse architectures, and AI Agents seamlessly integrate while maintaining complete data control, governance, and low total cost of ownership (TCO)?
To address this challenge, DLYTICA Academy is hosting an exclusive, 100% FREE live online workshop titled: “From Data Engineering to AI Agents Powered by DataNature.”
Whether you are a Data Engineer, Software Developer, Data Analyst, or IT Professional looking to future-proof your skill set, this hands-on workshop provides the exact technical roadmap needed to build next-generation data systems.
What is DataNature? The Sovereign Agentic Lakehouse Platform
At the center of this technological convergence is DataNature, a Sovereign Enterprise AI Data Platform developed by Dlytica.
Unlike traditional cloud data platforms that lock organizations into proprietary ecosystems, DataNature is an Agentic Lakehouse platform designed to run wherever your business needs it—on-premises, in a private cloud, or across public clouds.
Key Highlights of DataNature
True Data Sovereignty: Run workloads locally or in secure cloud instances to meet strict regulatory and compliance frameworks (such as GDPR and SOC 2) without trade-offs.
3–5× TCO Savings: Dramatically reduce cloud compute costs compared to legacy or multi-tool data architectures.
Agentic AI Orchestration: Native capabilities that allow autonomous AI Agents to plan, execute, and govern data pipelines from ingestion to automated decision-making.
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Key Topics Covered in the Workshop
This comprehensive workshop bridges the gap between core data engineering foundations and cutting-edge Agentic AI workflows:
| Topic / Module | Key Technical Concepts Focus | ||||||||||||||||||||||||||
| Data Nature & Lakehouse Architecture | Unified storage for structured, semi-structured, and unstructured data. | ||||||||||||||||||||||||||
| ELT Pipelines & Data Ingestion | Modern batch and real-time data ingestion methodologies. | ||||||||||||||||||||||||||
| Apache Iceberg & Medallion Architecture | Open table formats, bronze/silver/gold data tiering, and time-travel querying. | ||||||||||||||||||||||||||
| dbt & Data Transformation | Modular, reproducible data transformations with dbt models. | ||||||||||||||||||||||||||
| Data Quality & Orchestration | Managing lineage, pipeline health, and workflow scheduling. | ||||||||||||||||||||||||||
| Semantic Layer & BI | Building unified business logic layers for analytics and reporting. | ||||||||||||||||||||||||||
| Data Governance & Security | Granular RBAC, data masking, SSO, and compliance audit trails. | ||||||||||||||||||||||||||
| AI in Data Engineering | Enhancing data pipelines with machine learning and automated workflows. | ||||||||||||||||||||||||||
| RAG & DocuContext | Context-aware retrieval workflows for LLMs over structured/unstructured enterprise data. | ||||||||||||||||||||||||||
| Building AI Agents with MCP | Leveraging Model Context Protocol (MCP) to construct actionable AI Agents. |
Featured Speakers
Learn directly from industry practitioners who build real-world data and AI systems every day:
Sudip Shrestha: Data Engineering Lead at Dlytica AI
Subhan Singh Karki: Senior Data Engineer at Now CFO & Data Engineering Tutor at Dlytica Academy
Workshop Event Details & How to Join
Date: Friday, October 30, 2026
Nepal Time (NPT): 7:00 PM onwards
US Eastern Time (EDT): 9:15 AM onwards
Platform: Microsoft Teams (Live Online)
Cost: 100% FREE
Bonus: Official Workshop Completion Certificate provided for eligible participants who attend the full live session!
How to Register Today
Seats are limited for this live interactive session. Secure your spot now and gain direct insights into building sovereign, agent-ready data pipelines.
Register Now: Click Here to Register via LinkedIn
