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Surjit Singh

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Cloud Data Engineer (SCE) Google

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Overwhelmed by the complexities of building a robust and scalable data pipeline for algo trading with AlloyDB? This session provides the Google Cloud services, tools, recommendations, and best practices you need to succeed. We'll explore battle-tested strategies for implementing a low-latency, high-volume trading platform using AlloyDB and Spark Streaming on Dataproc.

Leverage Composer Orchestration to create a scalable and efficient data pipeline that meets the demands of algo trading and can handle increasing data volumes and trading activity by utilizing the scalability of Google Cloud services.