Explore the world of big data processing and real-time analytics in this inaugural episode of the Canonical Data series. Dive into Charmed Spark and Charmed Kafka, Canonical's solutions for leveraging Apache Spark and Apache Kafka on Kubernetes. Learn about industry trends in real-time applications, the origins of data in Spark, high-throughput processing, and Canonical's open-source approach using Juju. Discover future plans for these technologies and where to find additional resources. Gain insights into how these tools are transforming data processing and analytics, with the added benefit of long-term support and security updates through Ubuntu Pro.
Inside Spark and Kafka: Data Processing and Real-Time Analytics - Episode 1
Overview
Syllabus
Introduction
What is Spark
Where does the data come from
High throughput
Canonicals approach
Open source
Juju
Future plans
Where to learn more
Taught by
Canonical Ubuntu
