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

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

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  • 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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