What you'll learn

Complete Development of Real 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

There is always a need to process these data in real- 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-, we need to choose the right architecture with scalable storage and computation frameworks/technologies.

Hence we want to build the Real 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.

Who this course is for:

Bners who want to learn Apache Spark/Big Data Project Development Process and Architecture

Bners who want to learn Real Streaming Data Pipeline Development Process and Architecture

Entry/Intermediate level Data Eeers and Data Scientist

Data Eeering and Data Science Aspirants

Data Enthusiast who want to learn, how to develop and run Spark Application on Docker

Anyone who is really willingness to become Big Data/Spark Developer



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