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Udemy - Real Time Spark Project For Beginners - Hadoop, Spark, Docker
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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
Description
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.
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