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Hands on big data streaming with Apache Storm

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Hands on big data streaming with Apache Storm

 

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What you’ll learn
  • Implement Apache Storm programs that take real time streaming data from tools like Kafka and Twitter, process in Storm and save to tables in Cassandra or files in Hadoop HDFS.
  • Develop distributed stream processing applications that can process streaming data in parallel and handle failures.
  • Implement stateful stream processing, implement data transformations like maps and filters and implement exactly once processing.

 

 

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Requirements
  • Experience in developing software programs using Java. Use of Java IDE like Eclipse or IntelliJ
 
Description
 

Apache Storm is a popular tool for processing streaming big data in real time. Through this course, you will master writing Apache Storm programs in Java and also

 

write interfaces to get data from tools like Kafka and Twitter, process in Storm and save to tables in Cassandra or files in Hadoop HDFS. You will also practice writing stateful processing of streaming data.

 

Lot of practice demos and activities for provided for hands on learning, so you will implement the programs  on your laptop.

Who is the target audience?
  • Any Java developer who wants to develop stream processing applications using Apache Storm

 

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Hands on big data streaming with Apache Storm

 


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