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Building a Trusted AI Data Architecture: The Foundation of Scalable Intelligence

Teradata

Learn more Check out Teradata AI Factory close Home Resources Data architecture Article Building a Trusted AI Data Architecture: The Foundation of Scalable Intelligence Discover how AI data architecture shapes data quality and governance for successful AI initiatives. What is AI data architecture?

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities. This transition streamlined data analytics workflows to accommodate significant growth in data volumes.

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Top 10 Data Engineering Tools You Must Learn in 2025

ProjectPro

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? It can also access structured and unstructured data from various sources.

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How to Become a Data Architect in 2025?

ProjectPro

As technology advances, their role will become increasingly crucial, and excellent data architects will embrace this transition by staying up-to-date with the new tools and technologies. What Does a Data Architect Do? Now, what is a data architect responsible for? Understanding of Data modeling tools (e.g.,

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2024 Governance Trends for Data Leaders

phData: Data Engineering

Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems. However, implementation in a large complex environment is difficult due to investment challenges and buy-in from the business.

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Data Engineer vs. Data Architect-Who Builds the Data Castle?

ProjectPro

They run complex queries on big datasets and build data warehouses for reporting and analysis. Who is a Data Architect? A data architect builds, deploys, and manages an organization's data architecture. As a result, they help in data storage, data collection, data system access, and data security.

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How Retail and Media Leaders Drive Customer Satisfaction and Profits with Data and AI

Snowflake

Attendees will discover how to accelerate their critical business workflows with the right data, technology and ecosystem access. Explore AI and unstructured data processing use cases with proven ROI: This year, retailers and brands will face intense pressure to demonstrate tangible returns on their AI investments.