How to send tabular time series data to Apache Kafka with Python and Pandas
We put together a tutorial for software engineers to send data to Kafka with Python. This just uses OSS elements and should take 30 minutes or so. By the end of the tutorial, you'll understand:
- Why startups and online businesses use Apache Kafka
- The unique qualities of time series data and how it works with Kafka
- How to install and run Kafka on your local machine
- How to send time series data to Kafka in batches using Python and the Pandas library
What Confluent's acquisition of Immerok means for the future of real-time
Confluent has acquired Immerok, a start-up serving Apache Flink customers. Confluent's CEO Jay Kreps said, "Stream processing enables organizations to clean and enrich data streams to derive actionable insights from their data in real-time. Our planned acquisition of Immerok will accelerate our ability to bring one of the most popular and powerful stream processing engines directly into Confluent"
There are some interesting hot takes on Twitter including this thread by Matthias J Sax, the technical lead of Kafka Streams, as well as this blog from Yaroslav Tkachenko. Exciting times for those building streaming applications!
More news and insights
- How Uber adopted the Kappa Architecture to improve developer productivity - Read more
-
Problems We Face for Sending Events to the Secure Kafka in Python - Read more
- Upcoming Stream Processing meetups in Berlin (31/1) and Munich (7/2)
Meme of the Month
Mike Rosam is Co-Founder and CEO at Quix, where he works at the intersection of business and technology to pioneer the world's first streaming data development platform. He was previously Head of Innovation at McLaren Applied, where he led the data analytics product line. Mike has a degree in Mechanical Engineering and an MBA from Imperial College London.
