November 2018
Beginner to intermediate
7h 51m
English
on-demand course
Data Stream Development with Apache Spark, Kafka, and Spring Boot
with Anghel Leonard
Closed Captioning available in English
Overview
In this 7-hour course, you will learn to develop a robust data streaming pipeline using Apache Spark, Kafka, and Spring Boot. Through practical, hands-on coding sessions, you'll master how to integrate these technologies to process real-time data effectively.
What I will be able to do after this course
- Develop a complete blueprint for end-to-end data streaming pipelines.
- Implement robust data collection and queuing systems for real-time processing.
- Integrate data access tiers with MongoDB for powerful storage solutions.
- Utilize Apache Spark for efficient and scalable data analyses.
- Build fault-tolerant systems that minimize data loss in streaming applications.
Course Instructor(s)
Anghel Leonard, a seasoned software engineer and author, has years of expertise in Java development and real-time systems. His teaching style emphasizes clarity and hands-on application, making advanced concepts accessible for learners. With a passion for software optimization, Anghel delivers deep insights and practical skills in this course.
Who is it for?
This course is ideal for Java developers and software architects looking to expand their expertise into data streaming technologies. If you are keen to enhance your skills in working with real-time data and aim to design efficient streaming pipelines, this course is well-suited for you. Prior experience with the Spring Framework is beneficial but not mandatory, as the course provides clear guidance throughout.
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