Large scale data ingestion for MongoDB using Application Integration
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Опубликовано 5 октября 2025, 16:00
Start scaling your data ingestion today. → goo.gle/4nCj5Hm
This video demonstrates how to perform a large scale data ingestion from MongoDB using Application Integration. The demo showcases an asynchronous orchestrator worker model to efficiently transfer large datasets (like 1.7M records) in manageable chunks to Google Cloud Storage (GCS).
Watch along as the demo sets up the connection, initiates the sync via an API trigger, and tracks the job progress. This scalable pattern can be applied to any supported connector.
#GoogleCloud #MongoDB #DataIngestion
🔔 Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Speaker: Simon Lebrun
Products Mentioned: Cloud Storage, MongoDB, Application Integration
This video demonstrates how to perform a large scale data ingestion from MongoDB using Application Integration. The demo showcases an asynchronous orchestrator worker model to efficiently transfer large datasets (like 1.7M records) in manageable chunks to Google Cloud Storage (GCS).
Watch along as the demo sets up the connection, initiates the sync via an API trigger, and tracks the job progress. This scalable pattern can be applied to any supported connector.
#GoogleCloud #MongoDB #DataIngestion
🔔 Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Speaker: Simon Lebrun
Products Mentioned: Cloud Storage, MongoDB, Application Integration
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