Speed Up Your Azure Event Hub Ingestion with Python ThreadPoolExecutor (opens on Medium in a new tab)
A practical guide to moving from sequential to parallel processing for Event Hub ingestion.
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Articles
Deep dives on Databricks Structured Streaming, RocksDB state, Azure Event Hubs, Cosmos DB, and the problems that only show up at scale. All articles are published on Medium.
10 articles
A practical guide to moving from sequential to parallel processing for Event Hub ingestion.
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Why cosmos.oltp fails in Spark Declarative Pipelines and architecture patterns that work.
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Diagnosing RocksDB memory bloat and fixing stateful streaming driver memory leaks.
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How to build streaming observability with custom listeners and Delta logging.
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Build scalable real-time synchronization pipelines with Cosmos DB Change Feed and Databricks.
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In-depth stateful streaming patterns with transformWithStateInPandas.
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Lessons from failed approaches to production-grade stateful streaming design.
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A rapid prototyping story using GitHub Copilot and Stability AI.
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How to preserve deduplication state and protect integrity across cluster restarts.
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Step-by-step setup guidance for ADF linked services with Cosmos DB Table API.
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