Basic Two-Step Pipeline to Sync Data From InfluxDB 2.x to 3.x With Quix
Session date: May 07, 2024 08:00am (Pacific Time)
Quix is a complete solution for building, deploying, and monitoring real-time applications and streaming data pipelines using Python abstracted over Kafka with DataFrames. Quix integrates directly with InfluxDB as either a source or sink—serving as an ETL engine for InfluxDB 3.x or 2.x users who want to leverage stream processing for their use cases.
In this webinar, you’ll learn how to leverage a Quix project template to sync data from InfluxDB 2.x to InfluxDB 3.x. We’ll also look at some common use cases for the template from users looking to migrate to InfluxDB v3 and users running v2 at the edge.
Tun Shwe
VP of Data, Quix
Tun Shwe is the VP of Data at Quix, where he leads data strategy and developer relations. He is focused on helping companies imagine and execute their strategic data vision with stream processing at the forefront. He was previously a Head of Data and Data Engineer at high growth startups and has spent his career leading T-shaped teams in developing analytics platforms and data-intensive AI applications.
In his spare time, Tun goes surfing, plays guitar and tends to his analogue cameras.
Anais Dotis-Georgiou
Developer Advocate, InfluxData
Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.