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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, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Many of the best platforms for managing, storing, and analyzing streaming data are Apache open source projects, along with commercial and cloud implementations of those projects.
Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many of them, and in many cases the stream goes on and on without ever stopping. In this article, we will provide some background
Redpanda raises $50M to modernize stream processing - SiliconANGLE