Using Flink Distributed Cache: Overview and Example

This article explains Flink's distributed cache feature, describes its registration and retrieval mechanisms, and provides a complete Java example that demonstrates how to register a file, access it within a RichMapFunction, and print the processed results.

Big DataDataset APIFlink

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Using Flink Distributed Cache: Overview and Example

High Availability Architecture

Jan 6, 2016 · Big Data

Spark Latest Features, Tungsten Project, and Hulu’s Production Practices

This article reviews Spark's evolution from version 1.2 to 1.6, explains the DataFrame and Tungsten projects, shares Hulu’s real‑world Spark deployments, and discusses performance‑related challenges such as stack overflow, streaming receiver latency, and class‑loader deadlocks.

DataFramesDataset APIHulu

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Spark Latest Features, Tungsten Project, and Hulu’s Production Practices