Souman Roy

Years of Experience in Data Science Classes

17

Years of Experience in Embedded Systems Training

12

Years of Experience in Python Training classes

13

Years of Experience in Big Data Training

12

Teaching Experience in detail in Big Data Training

Big Data Architect Syllabus Overview A rigorous 126 hours of training would be given to the candidates in this program, wherein they would be made to study the following five major modules and significant case studies at the end of the program. Java Essentials: Under this module candidates will be learning about OOPS concepts, core and advance JAVA, Servlets and JSP Technology. Big Data Hadoop Developer Program This program is designed to educate candidates about Linux and Big Data Virtual Machine (VM). Candidates would be taught about the Hadoop Distributed File System (HDFS), its interface, features and its application in fault tolerance. Overview of MapReduce (Theory and Practical), Hadoop Streaming (developing and debugging non-Java MR programs – Ruby and Python), BSP (Bulk Synchronous Parallel) – An alternative to MapReduce and higher level abstractions for MapReduce (Pig and Hive) are other interesting topics they would be learning under this module. In the case studies, candidates will be using PIG, HBase, HIVE, and MapReduce to perform the Big Data analytics learnt in the course. First Case Study being about Twitter Analysis and the other one on Click-Stream Analysis would give a complete understanding of some interesting data analysis facts and concepts. MongoDB In this module, candidates will get an understanding of MongoDB, its installation, advantages, syntaxes and queries. They will gain an understanding of how NoSQL suits Big Data needs. Apart from this, it will also cover CRUD concepts, MongoDB security and MongoDB Administration activities. Hands-on Mongo DB project shows how to work with the MongoDB Java Driver and to use MongoDB as a Java Developer. Scala Programming: Like Java, Scala is an object-oriented programming language, and this module has been designed to impart an in-depth knowledge of programming in Scala. The module is based on 60:40 ratio; 60% practical sessions and 40% theory classes. Candidates will learn about functional programming principles, exception handling and XML manipulating in Scala. Apache Spark and Scala Development Program The objective of this program is to deliver a clear understanding of Apache Spark & Scala concepts. It will provide an overview of Hadoop ecosystem, Hive, GraphX and Spark Machine Learning libraries (spark MLlib). Candidates will also learn Spark RDD and how to write and deploy Spark applications. Each of the modules would be followed by the practical assignments that are to be completed before the commencement of next class to ensure candidates learn properly and clear all their doubts before moving ahead.

Years of Experience in DevOps Training

10

Teaching Experience in detail in DevOps Training

DevOps Course Objectives: Collabera TACT’s DevOps Training takes you through the entire anatomy of DevOps culture. The curriculum consists of – Understand the concept of Devops and the need for Devops Understand cloud computing and virtualization Learn and Manager Version control with GIT Create and configure lightweight, reproducible, and portable development environments with Vagrant. Perform Configuration management using Puppet. Implement continuous integration(CI) with Jenkins. Implement infrastructure monitoring with Nagios. Understand containers using Docker. Perform Configuration management using Chef. Get hands on practice on all the major components covered in this course