Configuring Kafka for High Throughput
File Type: .PDF | Size: 782KB
In the last several years, Hadoop has evolved into an excellent and mature batch processing framework which handles the volume, veracity and variety of Big Data.
However, many use cases across various domains need to handle the velocity of Big Data that Hadoop simply is not suited to handle. These use cases require real-time responses for faster decision making. Real-time analytics are also needed for large organization who generate significant log activity. These real time systems need to be able to correlate and predict events based on streaming data as it happens.
Apache Kafka is one of the most popular Open Source messaging systems. This whitepaper explores its performance aspects to achieve high throughput.
Please fill the form on the right to download the collateral.