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Near real-time data analytics on the data lake 8 дней назад


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Near real-time data analytics on the data lake

Enabling near real-time data analytics on the data lake Shuguang Xiang, Lead Data Engineer @ Grab Shi Kai Ng, Lead Software Engineer @ Grab This session explores the challenges faced in achieving near real-time data analytics using conventional Change Data Capture (CDC) with Hive tables and their transition to a more efficient approach using Flink CDC integrated with Hudi. The discussion will focus on improving data freshness, enabling self-serve data ingestion, and overcoming bottlenecks in the traditional pipeline. Key use cases from Grab Taxi will illustrate the significant improvements in operational efficiency, data availability, and decision-making enabled by this new architecture.

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