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

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

• 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.

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

Url: View Details

What you will 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

Rating: 3.75

Level: All Levels

Duration: 6.5 hours

Instructor: PARI MARGU