Rahul Gosavi·Apr 12Speed Up Your Azure Event Hub Ingestion with Python ThreadPoolExecutorA practical guide to moving from sequential to parallel processing when sending data to Azure Event Hub
Rahul Gosavi·Mar 30Why Your Cosmos DB Connector Fails in Databricks Spark Declarative Pipelines — And What to Do About…Introduction
Rahul Gosavi·Feb 12Why Your Databricks Streaming Job is Leaking Driver Memory (And How to Fix It)The Silent Killer: RocksDB Memory Bloat
Rahul Gosavi·Feb 12Databricks: Monitoring RocksDB State Store in Structured StreamingWhen working with real-time data pipelines, monitoring becomes just as important as processing the data itself. Without visibility into…
Rahul Gosavi·Jan 15Real-Time Data Sync with Azure Cosmos DB Change FeedIn today’s data-driven world, organizations need to process data changes in real-time. Whether you’re building AI applications, dashboards…
Rahul Gosavi·Nov 20, 2025From Chaos to Control: Our Journey to Production-Ready Stateful StreamingBackground: The Challenge
Rahul Gosavi·Sep 4, 2025My Experience: Building a Kids’ Memory Game for Our Organization’s Event with GitHub CopilotThe goal of our event was to create an engaging, educational, and fun experience for children of different age groups within our…
Rahul Gosavi·Jul 26, 2025Preventing Data Loss in Real-time Streaming Pipelines When Databricks Clusters RestartHow we built a bulletproof Event Hub to Cosmos DB pipeline that maintains data integrity across cluster failures
Rahul Gosavi·Jul 26, 2025Creating a Linked Service in Azure Data Factory for Azure Cosmos DB Table APIIntroduction
