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Sunday, April 11, 2021

Real Time Spark Project for Beginners: Hadoop, Spark, Docker [Free 100% off premium Udemy course coupon code]

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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 Python(PySpark)
  • How to use PostgreSQL with Spark Structured Streaming
  • How to build Data Visualisation using Django Web Framework and Flexmonster
  • Fundamentals of Docker and Containerization
  • Basic understanding of Apache Kafka
  • Features of Spark Structured Streaming using Spark with Scala

Requirements and What you should know?

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

Who is this course for?

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

What is this course about?

  • In many data centers, different type of servers generate large amount of data(events, Event in this case is status of the server in the data center) in real-time.

  • There is always a need to process these data in real-time and generate insights which will be used by the server/data center monitoring people and they have to track these server's status regularly and find the resolution in case of issues occurring, for better server stability.

  • Since the data is huge and coming in real-time, we need to choose the right architecture with scalable storage and computation frameworks/technologies.

  • Hence we want to build the Real Time Data Pipeline Using Apache Kafka, Apache Spark, Hadoop, PostgreSQL, Django and Flexmonster on Docker to generate insights out of this data.

  • The Spark Project/Data Pipeline is built using Apache Spark with Scala and PySpark on Apache Hadoop Cluster which is on top of Docker.

  • Data Visualization is built using Django Web Framework and Flexmonster.

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course-id:6a7a2fd7-572f-4eb6-a2c4-391820f4767f
course-coupon-id:007031be-dc12-47a9-9727-46039df4a434
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Sunday, April 11, 2021

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