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Unlocking Data Team Success: Are You Process-Centric or Data-Centric?

DataKitchen

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? We’ve identified two distinct types of data teams: process-centric and data-centric. We’ve identified two distinct types of data teams: process-centric and data-centric. They work in and on these pipelines.

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Data Engineering Weekly #224

Data Engineering Weekly

Tips and tricks for data modeling and data ingestion patterns - Explore the benefits of an observation layer across your data pipelines - Learn the key strategies for ensuring data quality for your organization Get the guide Jorge García Herrero: “Localhost tracking” explained. It could cost Meta 32 billion.

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An IBM Z Data Integration Success Story

Precisely

Some departments used IBM Db2, while others relied on VSAM files or IMS databases creating complex data governance processes and costly data pipeline maintenance. By implementing data replication from the IBM Z, the team was able to build data pipelines to distributed targets, ensuring that each application use case could be supported.

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Data Engineering Weekly #203

Data Engineering Weekly

With Astro, you can build, run, and observe your data pipelines in one place, ensuring your mission critical data is delivered on time. meeting recordings and videos), which contrasts with traditional SQL-centric systems for structured data. Generative AI demands the processing of vast amounts of diverse, unstructured data (e.g.,

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Join Airflow expert, Tamara Fingerlin, to get an in-depth look at everything you need to know about the 3.0 has to offer! Join Airflow expert, Tamara Fingerlin, to get an in-depth look at everything you need to know about the 3.0 has to offer! 📆 June 17th, 2025 at 9:30 AM PDT, 12:30 PM EDT, 5:30 PM BST

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Airflow vs Dagster: Comparing Two Data Orchestration Solutions

ProjectPro

billion by 2032, highlighting the critical need for efficient data pipeline management. While Airflow has long been a staple in the data engineering ecosystem, Dagster is emerging as a strong alternative, offering a fresh perspective on orchestration with enhanced functionality for data-aware pipelines. billion in 2024 to $924.39

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The Rise of Streaming Data Architectures: What You Need to Know

Precisely

Your ability to deliver seamless, personalized, and timely experiences is key to success in our modern customer-centric landscape. Thats where the concept of data streaming pipelines comes into play. Together, these elements empower you to build resilient data pipelines that provide the foundation for a modern customer experience.