Why Spring Belongs in Your Data Stream - From Edge to Multi Cloud
Offered By: Spring I/O via YouTube
Course Description
Overview
Explore the potential of Spring in data streaming applications across edge and multi-cloud environments in this 45-minute conference talk from Spring I/O 2023. Discover how to build scalable data streaming apps using Spring, Apache Kafka, and MQTT protocol for high-speed messaging. Learn to develop and deploy Spring-based Edge applications on Raspberry Pis and NVIDIA Jetson devices. Understand why Java and Spring are ideal for real-time data processing, challenging the notion that Python or Scala are better alternatives. Gain insights into incorporating Spring into streaming applications as part of a FLaNK-Spring architecture, combining Kafka, Flink, Spark, NiFi, and Spring to create fast, secure streaming applications deployable on various platforms, from bare metal to cloud environments.
Syllabus
Why Spring Belongs In Your Data Stream (From Edge to Multi Cloud) by Fabrizio Marini @ Spring I/O 23
Taught by
Spring I/O
Related Courses
Developing Stream Processing Applications with AWS KinesisPluralsight Developing Stream Processing Applications with AWS Kinesis
Pluralsight Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service
Pluralsight Processing Streaming Data Using Apache Flink
Pluralsight Complex Event Processing Using Apache Flink
Pluralsight