Udemy - Spring Cloud Data Flow - Cloud Native Data Stream Processing
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| TutsNode.com.txt | 63 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 B | ||
| [TutsNode.com] - Spring Cloud Data Flow | |||
| 1. Spring Cloud Data Flow Introduction | |||
| 1. Spring Cloud Data Flow Introduction.mp4 | 23.7 MB | ||
| 1. Spring Cloud Data Flow Introduction.srt | 2.51 KB | ||
| 2. Spring Cloud Data Flow Architecture Overview.mp4 | 12.75 MB | ||
| 2. Spring Cloud Data Flow Architecture Overview.srt | 3.88 KB | ||
| 3. Installation of Spring Cloud Data Flow Ecosystem.mp4 | 45.45 MB | ||
| 3. Installation of Spring Cloud Data Flow Ecosystem.srt | 9.64 KB | ||
| 2. Get Starter with Demo | |||
| 1. Introduction to Web UI and First Demo.mp4 | 47.82 MB | ||
| 1. Introduction to Web UI and First Demo.srt | 10.04 KB | ||
| 2. Overview of Task with Demo.mp4 | 38.45 MB | ||
| 2. Overview of Task with Demo.srt | 8.21 KB | ||
| 3. Setup in Cloud Environment | |||
| 1. EC2 instance setup with Docker in AWS.mp4 | 55.89 MB | ||
| 1. EC2 instance setup with Docker in AWS.srt | 10.49 KB | ||
| 1.1 EC2_instance_setup_Docker.txt | 531 B | ||
| 2. Spring Cloud Data Flow setup in EC2 Instance.mp4 | 74.68 MB | ||
| 2. Spring Cloud Data Flow setup in EC2 Instance.srt | 12.13 KB | ||
| 2.1 EC2_Instance_Spring_Cloud_Dataflow_Setup.txt | 406 B | ||
| 3. Working with Docker Container.mp4 | 51.92 MB | ||
| 3. Working with Docker Container.srt | 9.32 KB | ||
| 4. Sample Stream and ETL | |||
| 1. JDBC Streaming Demo.mp4 | 70.1 MB | ||
| 1. JDBC Streaming Demo.srt | 13.65 KB | ||
| 5. Twitter Streams | |||
| 1. Harvesting Tweets from Twitter.mp4 | 44.42 MB | ||
| 1. Harvesting Tweets from Twitter.srt | 9.07 KB | ||
| 1.1 Twitter_Harvest_To_LogFile.txt | 609 B | ||
| 2. Analyzing Twitter Language - Grafana Dashboard Visualization.mp4 | 50.41 MB | ||
| 2. Analyzing Twitter Language - Grafana Dashboard Visualization.srt | 10.82 KB | ||
| 2.1 Twitter_Analysis_Language.txt | 572 B | ||
| 3. Analyzing Twitter HashTag - Grafana Visualization.mp4 | 27.57 MB | ||
| 3. Analyzing Twitter HashTag - Grafana Visualization.srt | 6.08 KB | ||
| 3.1 grafana-twitter-scdf-analytics.json | 4.87 KB | ||
| 3.2 Twitter_Analysis_HashTag.txt | 507 B | ||
| 4. Twitter Sentiment Analysis.mp4 | 55.33 MB | ||
| 4. Twitter Sentiment Analysis.srt | 10.48 KB | ||
| 4.1 grafana-twitter-scdf-analytics.json | 4.87 KB | ||
| 4.2 Twitter_Sentiment_Analysis.txt | 946 B | ||
| 6. TensorFlow Streams | |||
| 1. Streaming Object Detection - TensorFlow.mp4 | 84.89 MB | ||
| 1. Streaming Object Detection - TensorFlow.srt | 14.74 KB | ||
| 1.1 TensorFlow_Object_Detection.txt | 1.09 KB | ||
| 2. Streaming Pose Estimation - TensorFlow.mp4 | 17.86 MB | ||
| 2. Streaming Pose Estimation - TensorFlow.srt | 4.87 KB | ||
| 2.1 Tensorflow_pose_estimation.txt | 334 B | ||
| 7. Custom Components | |||
| 1. Creating and Deploying Custom Tasks.mp4 | 99.59 MB | ||
| 1. Creating and Deploying Custom Tasks.srt | 17.13 KB | ||
| 1.1 custom_task.txt | 55 B | ||
| 2. Custom Processor Architecture and Coding.mp4 | 88.24 MB | ||
| 2. Custom Processor Architecture and Coding.srt | 14.54 KB | ||
| 2.1 Custom_Processor.txt | 452 B | ||
| 3. Custom Processor Deployment to Server.mp4 | 83.15 MB | ||
| 3. Custom Processor Deployment to Server.srt | 15.77 KB | ||
| 3.1 Custom_Processor_Deploy_Server.txt | 510 B | ||
| 4. Custom Source Application Coding and Deployment.mp4 | 64.29 MB | ||
| 4. Custom Source Application Coding and Deployment.srt | 11.37 KB | ||
| 4.1 Custom_Source.txt | 443 B | ||
| 4.2 MySpringCloudSourceApplication.txt | 1.07 KB | ||
| 5. Custom Sink Application Coding and Deployment.mp4 | 47.69 MB | ||
| 5. Custom Sink Application Coding and Deployment.srt | 7.88 KB | ||
| 5.1 Custom_sink.txt | 469 B | ||
| 5.2 MySpringCloudSinkApplication.txt | 849 B | ||
| 6. Custom Stream Application Coding and Deployment.mp4 | 41.23 MB | ||
| 6. Custom Stream Application Coding and Deployment.srt | 7.95 KB | ||
| 6.1 MySpringCloudStream.zip | 1.6 KB | ||
| 6.2 Custom_Stream.txt | 266 B | ||
| 6.3 MySpringCloudProcessorApplication.txt | 940 B |
Description
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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