What is Apache Kafka? Scalable event streaming
Saving all of your data in a data warehouse and analyzing it using a nightly batch process is no longer sufficient to monitor and manage a business or process in a timely fashion. Instead, you should perform simple real-time analysis of data streams in addition to saving the data for later in-depth analysis.Apache Kafka, originally developed at LinkedIn, is one of the most mature platforms for event streaming. Adjuncts to Kafka include Apache Flink, Apache Samza, Apache Spark, Apache Storm, Databricks, and Ververica. Alternatives to Kafka include Amazon Kinesis, Apache Pulsar, Azure Stream Analytics, Confluent, and Google Cloud Dataflow.To read this article in full, please click here
Saving all of your data in a data warehouse and analyzing it using a nightly batch process is no longer sufficient to monitor and manage a business or process in a timely fashion. Instead, you should perform simple real-time analysis of data streams in addition to saving the data for later in-depth analysis.
Apache Kafka, originally developed at LinkedIn, is one of the most mature platforms for event streaming. Adjuncts to Kafka include Apache Flink, Apache Samza, Apache Spark, Apache Storm, Databricks, and Ververica. Alternatives to Kafka include Amazon Kinesis, Apache Pulsar, Azure Stream Analytics, Confluent, and Google Cloud Dataflow.
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