Contents1 The Case for Flafka2 Example: Transaction Ingest3 Example: Event Processing During Ingest4 Flume’s Kafka Channel5 Conclusion This post highlights the integration of Kafka with Apache Hadoop, demonstrating both a basic ingestion capability as well as how different open-source components can be easily combined to create a near-real time stream processing workflow using Kafka, Apache...

Contents1 The Case for Flafka2 Example: Transaction Ingest3 Example: Event Processing During Ingest4 Flume’s Kafka Channel5 Conclusion This post highlights the integration of Kafka with Apache Hadoop, demonstrating both a basic ingestion capability as well as how different open-source components can be easily combined to create a near-real time stream processing workflow using Kafka, Apache...

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GETTING STARTED WITH APACHE NIFI

GETTING STARTED WITH APACHE NIFI

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The Hadoop Ecosystem in 30 Minutes — Part 2 - DZone Big Data

The Hadoop Ecosystem in 30 Minutes — Part 2 - DZone Big Data

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The Hadoop Ecosystem in 30 Minutes - DZone Big Data

The Hadoop Ecosystem in 30 Minutes - DZone Big Data

Hortonworks Dataflow Powered by Apache Nifi

Hortonworks Dataflow Powered by Apache Nifi

LinkedIn began processing “big data” on Apache Hadoop six years ago. As time passed, we recognized that some of our use cases couldn’t be implemented in Hadoop due to the large turn-around time that batch processing needed. We wanted our results to be calculated incrementally and available immediately at any time. Around the same time, …

LinkedIn began processing “big data” on Apache Hadoop six years ago. As time passed, we recognized that some of our use cases couldn’t be implemented in Hadoop due to the large turn-around time that batch processing needed. We wanted our results to be calculated incrementally and available immediately at any time. Around the same time, …

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