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Spring Cloud Data Flow - Cloud Native Data Stream Processing

Cloud Native Microservice based Streaming and Batch data processing for ETL, import/export, predictive analytics, etc.,

     
  • 4.1
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  • Reviews ( 186 )
₹1999
Spring Cloud Data Flow - Cloud Native Data Stream Processing

    This Course Includes

    • iconudemy
    • icon4.1 (186 reviews )
    • icon2 total hours
    • iconenglish
    • iconOnline - Self Paced
    • iconcourse
    • iconUdemy

    About Spring Cloud Data Flow - Cloud Native Data Stream Processing

    Understand the technical architecture along with installation and configuration of Spring Cloud Data Flow Applications.

    Create basic to advanced Streaming applications like time logger to TensorFlow Image Detection Stream Flow.

    You will learn the following as part of this course.

    Architecture of Spring Cloud Data Flow

    Components of Spring Cloud Data Flow like Skipper Server, Spring Cloud Data Flow Server, Data Flow Shell

    Using Data Flow Shell and Domain Specific Language (DSL)

    Configuring and usage of message brokers like RabbitMQ, Kafka

    Installation and configuration of Spring Cloud Data Flow Ecosystem in Amazon Web Service (AWS) EC2 Instances

    Configuring Grafana Dashboard for Stream visualization

    Configuration of Source, Sink and Processor

    Creating custom Source, Sink and Processor application

    Coding using Spring Tool Suite (STS) for custom code development

    Working with Spring Data Flow WebUI and analyzing logs on runtimes

    This course is designed to cover all aspects of Spring Cloud Data Flow from basic installation to configuration in Docker as well as creating all type of Streaming applications like ETL, import/export, Predictive Analytics, Streaming Event processing etc.,

    Few working examples/usecases are covered to have better understanding like

    Data extracting and interaction with JDBC database

    Extracting Twitter Data (Tweets) from Twitter

    Sentiment analysis, Language Analysis and HashTag Analysis on Tweets from Twitter

    Object Detection/Prediction using TensorFlow processor

    Pose Prediction using TensorFlow Processor

    What You Will Learn?

    • Architecture of Spring Cloud Data Flow.
    • Skipper Server, Spring Data Flow Server, Spring Data Flow Shell installation and configuration.
    • Microservice based Streaming and Batch data processing.
    • Examples with ETL, import/export, even streaming and predictive analytics.
    • Examples with Twitter Sentiment Analysis, TensorFlow Object Detection.
    • Install and Configure Spring Cloud Data Flow Ecosystem in Docker.
    • Configure Grafana Dashboard for Stream Visualization.