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Robert Thanaraj
Sr Director Analyst
Gartner
Speaker Bio
Talk to Robert Thanaraj about Data Engineering 2.0 “for” and “with” AI.
He equips data and analytics leaders with insights, advice and tools to achieve their mission-critical priorities around strategy, best practices, market guidance, technology selection, operating model, etc.
He can advise Gartner clients on several data management topics including:
- Top trends in D&A covering Agentic D&A, Semantics at the Core and D&A Platformization.
- Optimizing data management technology landscape with Converged Data Management Platforms.
- Modern Data Architecture approaches: Data Fabric, Mesh, Lakehouses, Operational Hubs and Marketplaces.
- Data Engineering practices including Data Engineering 2.0, DataOps, Data Product Management, AI-Ready Data and Data for AI.
- Data Integration tools for ETL/ELT, CDC, Streaming, Data Virtualization, API, Data Preparation.
- DataOps tools for Data Pipeline Orchestration and Data Observability.
- Metadata capabilities including Active Metadata, Cataloging, Semantics and Lineage.
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He equips data and analytics leaders with insights, advice and tools to achieve their mission-critical priorities around strategy, best practices, market guidance, technology selection, operating model, etc.
He can advise Gartner clients on several data management topics including:
- Top trends in D&A covering Agentic D&A, Semantics at the Core and D&A Platformization.
- Optimizing data management technology landscape with Converged Data Management Platforms.
- Modern Data Architecture approaches: Data Fabric, Mesh, Lakehouses, Operational Hubs and Marketplaces.
- Data Engineering practices including Data Engineering 2.0, DataOps, Data Product Management, AI-Ready Data and Data for AI.
- Data Integration tools for ETL/ELT, CDC, Streaming, Data Virtualization, API, Data Preparation.
- DataOps tools for Data Pipeline Orchestration and Data Observability.
- Metadata capabilities including Active Metadata, Cataloging, Semantics and Lineage.