Spring Cloud Data Flow - Cloud Native Data Stream Processing

[LeeAndro]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 21 lectures (2h 11m) | Size: 1 GB

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

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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 Sennt Analysis, TensorFlow Object Detection

Install and Configure Spring Cloud Data Flow Ecosystem in Docker

Configure Grafana Dashboard for Stream Visualization

Basics on Spring Framework, Spring Boot and Microservices

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

Create basic to advanced Streaming applications like 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 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 runs

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

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

Object Detection/Prediction using TensorFlow processor

Pose Prediction using TensorFlow Processor

Those who wants to create microservice based Streaming and Batch data processing

Those who wants to create Cloud Native ETL Applications



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