Summit 26 from June 1-4 in San Francisco

Lead your organization in the era of agents and enterprise intelligence.

AI DATA CLOUDFUNDAMENTALS

Learn about some of the most relevant topics around cloud data warehousing, AI, data lakes, data engineering and other areas of interest related to cloud data analytics, AI and cloud data platforms.

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Full Stack Observability: How to See Every Layer of Your Stack in One Place

Full stack observability connects frontend, backend and infrastructure telemetry so teams can trace problems across multiple layers and help reduce resolution time.

FAIR Data Principles: A Guide for Enterprise Data Teams

FAIR data principles give enterprise teams a practical, standards-based way to ensure data is discoverable, usable and trustworthy across systems and stakeholders.

What Is TOGAF? A Practical Guide to The Open Group Architecture Framework

TOGAF is a framework organizations use to map how their business processes, applications and data systems fit together — and how to evolve them without breaking what works.

What Is COBIT? A Practical Guide to ISACA’s IT Governance Framework

Learn about ISACA’s framework for governing and managing enterprise information and technology.

What Is CDMC? A Guide to the Cloud Data Management Capabilities Framework

Turn cloud data governance into action with 14 controls that help you automate policies, prove compliance and close gaps across complex environments.

What Is DAMA-DMBOK? A Guide to the Data Management Body of Knowledge

DAMA-DMBOK is a widely recognized reference framework for data management — defining the principles, practices and functions that underpin every mature data program.

What Is DCAM? A Guide to the Data Management Capability Assessment Model

DCAM gives data management leaders a structured way to assess maturity, close capability gaps and build data into a durable organizational asset.

How Data Governance Standards and Frameworks Guide Enterprise Data Programs

Data governance standards give organizations a starting point for defining roles, controls and quality expectations.

Data Governance for GDPR: How to Operationalize Compliance Requirements

Learn how to translate GDPR's principles into enforceable systems that track, control and prove compliance across the data environment.

AI Security Systems: What They Are, Why They Matter and How to Build One

Learn how AI security systems help organizations reduce exposure and operate AI more safely in production.

Data Governance Policy Template: What to Include and How to Use It

This guide breaks down the key sections of a data governance policy and includes a fill-in template to help move the first draft forward.

Data Governance Audit: How to Assess Your Governance Program

This guide explains what a data governance audit should assess and how to build a program that detects drift before it compounds.

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