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Practical Real-time Data Processing and Analytics

You're reading from  Practical Real-time Data Processing and Analytics

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781787281202
Pages 360 pages
Edition 1st Edition
Languages
Toc

Table of Contents (20) Chapters close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Introducing Real-Time Analytics 2. Real Time Applications – The Basic Ingredients 3. Understanding and Tailing Data Streams 4. Setting up the Infrastructure for Storm 5. Configuring Apache Spark and Flink 6. Integrating Storm with a Data Source 7. From Storm to Sink 8. Storm Trident 9. Working with Spark 10. Working with Spark Operations 11. Spark Streaming 12. Working with Apache Flink 13. Case Study

PubNub data stream publisher


Let's put together a quick publisher that reads the live stream of sensor data messages from the PubNub and pushes them to RabbitMQ:

.. 
 public class TestStream { 
 
      private static final String EXCHANGE_NAME = "MYExchange"; 
      private final static String QUEUE_NAME = "MYQueue"; 
      private final static String ROUTING_KEY = "MYQueue"; 
       
private static void RMQPublisher(String myRecord) throws IOException, TimeoutException 
{ 
 
      ConnectionFactory factory = new ConnectionFactory(); 
      Address[] addressArr = { new Address("localhost", 5672) };  
      Connection connection = factory.newConnection(addressArr); 
      Channel channel = connection.createChannel(); 
      channel.exchangeDeclare(EXCHANGE_NAME, "direct"); 
      channel.queueDeclare(QUEUE_NAME, true, false, false, null); 
      channel.queueBind(QUEUE_NAME, EXCHANGE_NAME, ROUTING_KEY); 
      int i = 0; 
      while (i < 1) { 
            try { 
                  channel...
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