Torrent details for "Udemy - Spring Cloud Data Flow - Cloud Native Data Stream Processing"    Log in to bookmark

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Description

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

Who this course is for:

   Those who wants to create microservice based Streaming and Batch data processing
   Those who wants to create Cloud Native ETL Applications

Requirements

   Basics on Spring Framework, Spring Boot and Microservices

Last Updated 7/2019

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