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 this data in real-time and generate insights, which will be used by the server/data center monitoring people to track these server’s statuses 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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- AppSumo Offer
- Deal Terms
1 Year access to Real Time Spark Project for Beginners: Hadoop, Spark, Docker- You must redeem your code within 60 days of purchase
- 1 Year of plan updates
- Please note: This deal is not stackable
- 60-day money-back guarantee, no matter the reason
