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Home
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Data Mesh in Practice: Domains, Data Products, and Platform Interfaces
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Dagster Asset‑Based Orchestration: Building Maintainable Data Platforms
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Prefect 2 Workflows: Python‑Native Orchestration for Data and ML Pipelines
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Redpanda Streaming: Kafka‑Compatible Performance with Simple Ops
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Apache SeaTunnel: High‑Performance Data Integration for the Lakehouse
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Airbyte ELT: Running Connectors, Normalization, and Reliable Syncs
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dbt Semantic Layer: Defining Metrics Once and Serving Them Everywhere
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MetricFlow: Building a Metrics Engine for Consistent BI and Embedded Analytics
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Evidence.dev: Analytics Reports as Code with SQL, Markdown, and CI
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Cube.dev Semantic Layer: Metrics, Caching, and Access Control for Analytics APIs
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