In this talk, we will discuss the need for efficient and scalable time series data processing and storage solutions. We will explore how InfluxDB combined with the Apache Arrow ecosystem provides the tools necessary to build a high-performance analytics engine. By leveraging Apache Arrow's columnar format, we will demonstrate how to efficiently handle large volumes of time series data and provide real-time analytics and visualizations. The talk will also highlight how Apache Arrow integrates with other open-source technologies such as Apache Spark and visualization tools like Apache Superset to create a complete end-to-end solution. Attendees will gain practical knowledge on how to build the foundations of a production-ready time series analytics engine using InfluxDB and Apache Arrow ecosystem.
Speaker
Jay Clifford
Developer Advocate @Influxdata
Jay Clifford is a Developer Advocate for InfluxData. Before joining InfluxData he previously specialised in solving industrial pain points using Vision AI and OT connectivity. Jay now uses his experience within the IoT and automation sector to enable developers and industrial customers alike to realise the potential of Time Series data and analytics.
Session Sponsored By
The Time Series Data Platform where developers build IoT, analytics, and cloud applications.