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Research Nov 2025
... Exchange/Enrich Metadata Data Lineage and Impact Analysis Semantics Workflow Management Support for Security and Privacy Active Metadata Orchestration and Automation Metadata Scoring Data Usability Enablement Data Governance Data Engineering AI Readiness Enabling Modern Data Architectures Inclusion and Exclusion ...

Analyst(s):   Melody Chien   |   Roxane Edjlali   |   Guido De Simoni   |   Thornton Craig
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Premium Research Jul 2025
... Legacy data architectures are characterized by fragmented systems that often lead to high costs. This research shows how a data lakehouse can optimize costs while fostering innovation and offers data and analytics leaders strategies to optimize spending through architectural simplification. Overview ...

Analyst(s):   Henry Cook   |   Masud Miraz   |   Adam Ronthal
Premium Research Apr 2026
... Agentic AI is transforming data management with autonomous agents that use large language models, memory, and semantic layers. This requires strong data semantics, context readiness and goal-driven data engineering to automated data pipelines, maintain data quality and governance. Insights at a Glance ...

Analyst(s):   Ramke Ramakrishnan   |   Robert Thanaraj
Webinar On-Demand
... enterprise architecture tool” and the purpose of the Magic Quadrant •Explore the latest competitive positioning of enterprise architecture tool vendors •Assess marketwide trends in pricing, licensing models and AI capabilities •Uncover the most significant changes shaping the enterprise architecture tools ...

Analyst(s):   Austin Steinmetz
Webinar On-Demand
... enterprise technology strategies are shifting and new pricing models are reshaping how CMOs invest in critical tools. This webinar shares exclusive Gartner data and insights to help marketing leaders navigate this pivotal moment. Return to this web page to watch the webinar. Contact us at gartnerwebinars@gartner.com ...

Analyst(s):   Ewan McIntyre
Premium Research Jul 2025
... Data and analytics leaders should help stakeholders understand the appropriate use of key data architecture components. This foundational guide explores data warehouses, lakes, lakehouses and hubs to help organizations identify the most suitable components for their targeted use cases. Overview Introduction ...

Analyst(s):   Michael Gonzales   |   Roxane Edjlali   |   Adam Ronthal
Conference October 22 2026
... CIOs and IT Executives™. Explore the dedicated Enterprise Architecture spotlight track, which covers next-generation composable architecture, the evolving EA role across platform, cloud, data and AI, and the governance models that turn architecture into business outcomes. Europe, Middle East and Africa ...
Premium Research May 2026
... and integrated AI agents. These platforms require strict security, robust data privacy, observability, cost management, and comprehensive governance. Architecture Brief Architecture Use Cases Architecture Diagram Architecture Capabilities & Components Multi-Agent Coordination Agent Control Plane Agent ...

Analyst(s):   Steve Deng   |   Gary Olliffe
Premium Research Feb 2026
... Real-time edge data processing is limited by compute, storage, and network constraints, which result in resource contention and latency spikes. Infrastructure architects must design solutions that use rightsized compute, tiered storage, optimized networking, and enforce strict security to meet operational ...

Analyst(s):   Andy Lee   |   Mohini Dukes   |   Sumit Rajput
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