Diploma in Data Admin/Analytics

DATA ADMIN AND ANALYTICS USING REDHAD AND IBM BIG INSIGHT TRAINING IN NOIDA

JAVA (CORE)

  • REVIEW OF JAVA FUNDAMENTALS
  • PACKAGING & DISTRIBUTING A JAVA APPLICATION
  • Exception and user definedException
  • Try/catch/finally block
  • MISCELLANEOUS ENHANCEMENTS
  • ASSERTIONS
  • INTRODUCTION TO APPLET
  • INTRODUCTION TO AWT & SWING
  • THE JAVA COLLECTION CLASSES
  • GENERICS
  • ADVANCED I/O
  • NETWORKING
  • THREADS AND CONCURRENCY
  • JAVA DATABASE CONNECTIVITY (JDBC)

GETTING STARTED WITH LINUX 

  • RUNNING COMMANDS AND GETTING HELP
  • BROWSING THE FILESYSTEM
  • USING THE BASH SHELL
  • STANDARD I/O AND PIPES
  • MANAGING USERS, GROUPS & PERMISSIONS
  • THE LINUX FILESYSTEM IN-DEPTH
  • INVESTIGATING AND MANAGING PROCESSES
  • PERFORMING PACKAGE MANAGEMENT
  • MANAGING KERNEL SERVICES
  • FUNDAMENTAL OF BIG DATA
  • EXAMINING BIG DATA TYPES
  • DISTRIBUTED COMPUTING
  • Introduction to RDBMS.
  • OPERATIONAL DATABASES
  • VIRTUALIZATION AND HOW IT SUPPORTS DISTRIBUTED COMPUTING.
  • EXAMINING THE CLOUD AND BIG DATA
  • EXPLORING THE WORLD OF HADOOP
  • Introduction to Hadoop Cluster.
  • HDFS 
  • MAP REDUCE FUNDAMENTALS
  • Map Reduce 
  • WORKING WITH JAQL LANGUAGE
  • DATA WAREHOUSING USING HIVE
  • INTRODUCTION TO PIG
  • BIG SQL IN DETAIL
  • INTRODUCTION TO SQOOP FLUME AND OOZIE
  • INTRODUCTION TO BIG R.
  • Introduction – Data importing – Understanding
  • Data Manipulation
  • ExploratoryData Analysis & Datavisualization
  • Reporting – OutputExporting
  • Optimizing SASCodes
  • Introduction – Data Importing/Exporting
  • Data Manipulation
  • DataAnalysis – Visualisation
  • Introduction to Statistics
  • Introduction to PredictiveModeling
  • Data Preparation
  • Segmentation
  • Decision Trees
  • Linear Regression

200 HOURS

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