Understanding AI Data Pipelines
An AI pipeline comprises a series of processes that convert raw data into actionable insights, enabling businesses to make informed decisions and drive innovation.
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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Avro vs. Parquet: Choosing a Data Format for Modern Workflows
Understanding the distinctions between Avro and Parquet is vital for making informed decisions in data architecture and processing.
What Are Apache Iceberg Tables?
Table formats — with support for ACID transactions, such as Apache Iceberg — are part of what make data lakes and data mesh strategies fast and effective solutions for querying data at scale.
Generative AI: Architecture, Models and Applications
Unlike traditional AI, which focuses on pattern recognition and predictions, generative AI learns from vast datasets and generates entirely new outputs.
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.
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