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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

AI data engineers are data engineers that are responsible for developing and managing data pipelines that support AI and GenAI data products. Essential Skills for AI Data Engineers Expertise in Data Pipelines and ETL Processes A foundational skill for data engineers?

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

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Being Data Driven At Stripe With Trino And Iceberg

Data Engineering Podcast

Your host is Tobias Macey and today I'm interviewing Kevin Liu about his use of Trino and Iceberg for Stripe's data lakehouse Interview Introduction How did you get involved in the area of data management? Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147
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The Challenge of Data Quality and Availability—And Why It’s Holding Back AI and Analytics

Striim

Business Intelligence Needs Fresh Insights: Data-driven organizations make strategic decisions based on dashboards, reports, and real-time analytics. If data is delayed, outdated, or missing key details, leaders may act on the wrong assumptions. Poor data management can lead to compliance risks, legal issues, and reputational damage.

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Your 101 Guide to Becoming an ETL Data Engineer in 2025

ProjectPro

With the right tools, mindset, and hands-on experience, you can become a key player in transforming how organizations use data to drive innovation and decision-making. According to a 2023 survey by the Data Engineering Academy, 78% of companies plan to increase their investment in data infrastructure, including cloud-based solutions.

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Data Governance: Framework, Tools, Principles, Benefits

Knowledge Hut

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

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The Future of Data Governance: 4 Trends to Watch Out For

Monte Carlo

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. Data Governance Trends The biggest data governance trend isn’t really a trend at all—rather, it’s a state of mind.