Course Content

Hadoop
Hadoop is a Big Data mechanism, which helps to store and process & analysis unstructured data by using any commodity hardware.Hadoop is an open source software framework written in java,which support distributed application.It was introduced by Dough Cutting & Michael J. Cafarellain in mid of 2006.Yahoo is the first commercial user of Hadoop(2008).
Hadoop works on two different generation Hadoop 1.0 & Hadoop 2.0 which, is based on YARN (yet another resource negotatior) architecture.Hadoop named after Dough cutting’s son’s elephant.

Spark
Spark is an in-memory cluster computing, processing engine built for speed and accurate analytics. This engine provides an opportunity to process Big Data which is coupled with low latency and cannot be handled with Map Reduce programs. Spark is 100 times faster and user friendly when compared to Map Reduce and ensures fast speed and also supports Java, Scala and Python APIs.

Data Science

Data Science is the software library framework which allows for the distributing processing large sets of data across a cluster of computers by using simple programming tools. It can easily scale up from a single server to thousands of machines in an easy manner.

Flink
Apache Flink is an open source platform for distributed stream and batch data processing. It offers expressive APIs to define data flow programs as well as a robust and scalable engine to execute these programs.

Exiliens provides quality and comprehensive training to the students. It helps in surveying the foundational topics as per the current IT Industry. The entire course is divided into various major sections which are data manipulation, data at scale while working with big data, data analysis with machine learning and statistics and data communication with informative visualization. Our main aim is to provide In-depth knowledge on each and every topic as per current IT field.