Spring Cloud Data Flow - Cloud Native Data Stream Processing
Why take this course?
🎉 Master Cloud Native Data Stream Processing with Spring Cloud Data Flow! 🚀
Course Title:
Spring Cloud Data Flow - Cloud Native Microservice based Streaming and Batch Data Processing for ETL, Import/Export, Predictive Analytics, etc.
Headline:
Dive into the world of microservices and streaming data processing with Spring Cloud Data Flow! This comprehensive course is your key to understanding the architecture, installation, and configuration of this powerful tool for real-time data operations in a cloud-native environment. Whether you're new to the concept or looking to enhance your skills, this course covers it all!
Course Overview:
Understanding Spring Cloud Data Flow Architecture 🏗️
- Gain insights into the architectural components of Spring Cloud Data Flow.
- Learn about the Skipper Server, Spring Cloud Data Flow Server, and Data Flow Shell.
- Master using Domain Specific Language (DSL) for Stream management.
Streaming Applications 💧
- Create both basic and advanced streaming applications, from simple time loggers to complex TensorFlow Image Detection workflows.
Hands-On Learning Experience 🛠️
- Follow step-by-step instructions to configure and use message brokers like RabbitMQ, Kafka.
- Learn how to install and configure the Spring Cloud Data Flow ecosystem in Amazon Web Services (AWS) EC2 instances.
- Set up Grafana Dashboards for visualizing your data streams in real-time.
- Configure Sources, Sinks, and Processors to handle your data flows effectively.
Custom Application Development 🖥️
- Develop your own Source, Sink, and Processor applications tailored to your specific needs.
- Code using Spring Tool Suite (STS) for a seamless development experience.
Interacting with Data Sources 🗃️
- Work with Spring Data Flow WebUI and analyze logs on runtime instances.
- Extract data from JDBC databases and perform ETL operations.
Real-World Use Cases 🌐
- Explore practical examples and use cases, including:
- Interacting with Twitter to extract Tweets and perform sentiment analysis, language and hashtag analysis.
- Utilizing TensorFlow for object detection and pose prediction on data streams.
What You'll Learn:
✅ Architecture of Spring Cloud Data Flow ✅ Components like Skipper Server, Data Flow Server, and Data Flow Shell ✅ Using Data Flow Shell and DSL ✅ Configuring message brokers (RabbitMQ, Kafka) ✅ Installation and configuration on AWS EC2 ✅ Setting up Grafana Dashboards ✅ Configuring Source, Sink, and Processor ✅ Developing custom Source, Sink, and Processor applications ✅ Coding with STS for custom code development ✅ Working with Spring Data Flow WebUI and logs ✅ Practical examples and use cases (ETL, Import/Export, Predictive Analytics, etc.)
Who Should Attend:
This course is ideal for developers, data engineers, architects, and anyone interested in learning about cloud-native data streaming and processing with Spring Cloud Data Flow. Whether you're looking to expand your skill set or prepare for a career in modern data handling, this course provides the knowledge and hands-on experience necessary for success.
Enroll Now to Unlock Your Potential in Data Stream Processing! 🌟
By the end of this course, you'll be equipped with the skills to harness the power of Spring Cloud Data Flow for real-time data operations and analytics. You'll understand how to build robust microservices that handle streaming data and batch processing tasks, enabling you to tackle complex data challenges with confidence and efficiency. Join us and transform your data into actionable insights! 📊✨
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