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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What Is a Customer Data Platform?

A customer data platform (CDP) is a centralized system that collects, unifies and organizes customer data from multiple sources and touchpoints to create a single, comprehensive view of each customer. It enables marketers to segment audiences based on real-time behaviors and attributes, and activate those segments across channels to deliver personalized, data-driven marketing experiences.

Security Metrics: Quantifying Your Organization’s Security Posture

Security metrics help measure the effectiveness of cybersecurity efforts. Discover key metrics and how they guide risk assessment and smarter security decisions.

What is Governance, Risk and Compliance?

Governance, risk and compliance are key practices that help organizations manage risk, meet regulations requirements and uphold ethical standards.

Row-Level Security: Tying Data Access to User Identity

Row-level security (RLS) restricts access to specific rows in a database based on user roles. Learn how it works, why it matters and see examples in action.

What Is Vulnerability Management?

Vulnerability management is a critical aspect of cybersecurity that focuses on identifying, assessing and mitigating security weaknesses in an organization's IT infrastructure.

Data Lakes and Data Lake Architecture: Foundations for Modern Data Strategy

Data lakes have emerged as a cornerstone of modern data infrastructure, designed to handle the volume, variety and velocity of today’s data.

Modernizing Data Pipelines: Best Practices and Strategies

Data pipelines are critical to the success of data strategies across analytics, AI and applications. Learn more about the innovative strategies organizations are using to power their data platforms.

AI Use Cases in the U.S. Government

From streamlining bureaucratic tasks to improving citizen safety, the use of AI in government is opening the way for more efficient, transparent and responsive services.

AI governance threat intelligence and ml anomaly detection

Explore AI governance, AI-driven threat intelligence, and the role of ML-based anomaly detection in cybersecurity and across industries.

What is Synthetic Data?

Unlike traditional data, which is often restricted by a range of accessibility issues, synthetic data is artificially generated, providing extensive opportunities for data-driven insights.

What is a data clean room?

Data clean rooms enable secure, privacy-compliant data collaboration. Learn how they work, their benefits, and how businesses use them to drive growth.

Data sharing and integration tools in the modern data ecosystem

Organizations are adapting to the fast-paced information landscape by utilizing data integration and data sharing to optimize the value of data.

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