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Real Time Spark Project for Beginners: Hadoop, Spark, Docker

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Real Time Spark Project for Beginners: Hadoop, Spark, Docker




Building Real Time Data Pipeline Using Apache Kafka, Apache Spark, Hadoop, PostgreSQL, Django and Flexmonster on Docker

What you’ll learn

  • Complete Development of Real Time Streaming Data Pipeline using Hadoop and Spark Cluster on Docker
  • Setting up Single Node Hadoop and Spark Cluster on Docker
  • Features of Spark Structured Streaming using Spark with Scala
  • Features of Spark Structured Streaming using Spark with Python(PySpark)
  • How to use PostgreSQL with Spark Structured Streaming
  • Basic understanding of Apache Kafka
  • How to build Data Visualisation using Django Web Framework and Flexmonster
  • Fundamentals of Docker and Containerization




Requirements

  • Basic understanding of Programming Language
  • Basic understanding of Apache Hadoop
  • Basic understanding of Apache Spark

Who this course is for:

  • Beginners who want to learn Apache Spark/Big Data Project Development Process and Architecture
  • Beginners who want to learn Real Time Streaming Data Pipeline Development Process and Architecture
  • Entry/Intermediate level Data Engineers and Data Scientist
  • Data Engineering and Data Science Aspirants
  • Data Enthusiast who want to learn, how to develop and run Spark Application on Docker
  • Anyone who is really willingness to become Big Data/Spark Developer





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