Module I: Introduction to Big Data and Ecosystem 
Module II: HDFS, Hadoop Architecture & YARN 
Module III: Environment 
Module IV: Scala Programming Language 
Module V: Spark Cluster-Computing Framework 
Introduction, Architecture, Components, Execution & Related Concepts
o The Resilient Distributed Dataset
o RDD Data Types, Creation & Operations
o Spark Shell In Action & Word Count Spark Job on YARN through Functional Programming on Scala IDE
o RDD Map, Filter, Sort Transformations
o Data Partitioning & Joins
o Accumulators, Broadcast Variables
o Caching and Persistence
o Spark SQL DataFrames and DataSets
o Joins, Strongly Typed Dataset
o DataSets Vs RDD's Choice / Conversion
o Hive queries through Spark  

Module VI: MapReduce & Scalding (Scala DSL)  
Module VII: Data Warehousing With Hive & Impala 
Module VIII: Pig Latin     
Module IX: The Hadoop DataBase - HBase 
Module X: ETL & Orchestration 

Industry Compliant Practical Curriculum On Latest Stacks.
 Multiple Domains Simulated Data Patterns for Real Life  Project Scenarios.
 Guidance for Resume Preparation & Interview Questions.  
 POCs Suggestions for further practice and pursual.
 Mock Interviews for Interested Candidates.
 Discussing Current Market Standards & New / Incubating Tech.
 Other Q & A, Doubt Clearance.
 Discussing Cloudera & Hortonworks Certification Programs.   

Call @ 9740460581
Email: navyashri27@gmail.com