Maximizing Real-Time Data Processing with Apache Kafka and InfluxDB - A Comprehensive Guide

Explore a comprehensive guide on maximizing real-time data processing by combining Apache Kafka and InfluxDB. Learn how to create a powerful data pipeline for ingesting, streaming, storing, and analyzing real-time data from various sources. Discover the benefits of this architecture for IoT applications and large-scale sensor data processing. Gain insights into InfluxDB's new parquet file format storage, built on the Apache Arrow project, which enables SQL querying and integration with a wider range of visualization and analysis tools. Delve into the process of connecting Kafka and InfluxDB platforms, understanding the reasons behind this integration, and exploring the potential applications and outcomes. This 30-minute talk, presented by Confluent, offers valuable knowledge for data engineers and analysts looking to enhance their real-time data processing capabilities.

Maximizing Real-Time Data Processing with Apache Kafka and InfluxDB: A Comprehensive Guide