Description Apache Spark, a data processing engine is a well-known open-source cluster computing framework for fast and flexible large-scale data analysis. Scala, a scalable and multi-paradigm programming language which supports functional object-oriented programming and a very strong static type system implemented for developing applications like web services. Apache Storm is a well-developed, powerful, distributed, real-time computation system for enterprise-grade big data analysis. Python, a flexible and powerful language with simple syntax, readability and has powerful libraries for data analysis and manipulation. Objective After the completion of this course, Trainee will: Understand the need for Spark in the modern Data Analytical Architecture Improve knowledge on RDD features, transformations in Spark, Actions in Spark, Spark QL, Spark Streaming and its difference with Apache Storm Understand the need for Hadoop 2 and its installation application of Storm for real-time analytics Work with Jupiter and Zeppelin Notebooks Master the concepts of Traits and OOPS in Scala Learn on Storm Technology Stack and Groupings and implementing Spouts and Bolts Explain and master the process of installing Spark as a standalone cluster Demonstrate the use of the major Python libraries such as NumPy, Pandas, SciPy, and Matplotlib to carry out different aspects of the Data Analytics....