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Being Data Driven At Stripe With Trino And Iceberg

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Can you describe what role Trino and Iceberg play in Stripe's data architecture? Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147
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DataOps For Business Analytics Teams

DataKitchen

They need high-quality data in an answer-ready format to address many scenarios with minimal keyboarding. What they are getting from IT and other data sources is, in reality, poor-quality data in a format that requires manual customization. A lot of industries talk about bringing data together in data hubs.

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Data Quality Engineer: Skills, Salary, & Tools Required

Monte Carlo

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders.

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Interpreting the Gartner Data Observability Market Guide

Monte Carlo

This year data observability skyrocketed to the top of the Gartner’s Hype Cycles. According to Gartner, 50% of enterprise companies implementing distributed data architectures will have adopted data observability tools by 2026 – up from just ~20% in 2024. Image courtesy of Gartner.

Data 52
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Why Modern Data Engineering is the Backbone of AI-Driven Businesses

RandomTrees

Modern data engineering can help with this. It creates the systems and processes needed to gather, clean, transfer, and prepare data for AI models. Without it, AI technologies wouldn’t have access to high-quality data. It incorporates far more than basic data handling techniques.