In this course we will see the following topics with practical concepts ,

Map Reduce Distributed Processing

Apache Spark -

• Challenges of Map Reduce and Why We need Spark ?
• Apache Spark vs Databricks 
• DAG
• Spark Transformations
• PySpark Use Case Problems with Huge Size of Data 

Architecture - All the spark core components will be discussed in detail

Spark Core APIs -  RDD (Not in Use in real time- but will be discussed with practical example)
Higher Level Spark APIS - Dataframes, Spark SQL
Dataframes In Depth - All the dataframe operations will be discussed with example.
Caching (Performance Optimization Technique)
Spark on Resource Management Architecture - YARN 
Dataframe Writer API
Spark Workflow
Optimizations Technique for better performance.

Duration : 30 Days ( Indlucing Weekends). 

Interview point of view questions will be shared  and relevant practical implementations will be done

Practice Datasets will be provided and assignments will be provided

This is not a certificate course

Real time hands on spark course