Hadoop Training in Kukatpally

Digital Hub Tech offers best Hadoop Training in Kukatpally with most experienced professionals. Our Instructors are working in Hadoop and related technologies for more years in MNC’s. We aware of industry needs and we are offering Hadoop Training in Kukatpally in more practical way. Our team of Hadoop trainers offers Hadoop in Classroom training, Hadoop Online Training and Hadoop Corporate Training services. We framed our syllabus to match with the real world requirements for both beginner level to advanced level. Our training will be handled in either weekday or weekends programme depends on participants requirement.

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Hadoop Training in Kukatpally Hyderabad

We do offer Fast-Track Hadoop Training in kukatpally and One-to-One Hadoop Training in Hyderabad. Here are the major topics we cover under this Hadoop course Syllabus Introduction to Big Data, Introduction Apache Hadoop, MapReduce, Apache Hive, Apache Pig, Apache Hbase, Apache Sqoop Apache Flume, Impala, Apache Spark and related Projects.Every topic will be covered in mostly practical way with examples.

We are the best Training Institute offers certification oriented Hadoop Training in Kukatpally. Our participants will be eligible to clear all type of interviews at end of our sessions. We are building a team of Hadoop trainers and participants for their future help and assistance in subject. Our training will be focused on assisting in placements as well. We have separate HR team professionals who will take care of all your interview needs. Our Hadoop Training in Bangalore Course Fees is very moderate compared to others. We are the only Hadoop training institute who can share video reviews of all our students. We mentioned the course timings and start date as well in below.

Who are eligible to take this Training?

  • Software Developers, Project Managers
  • Software Architects
  • ETL and Data Warehousing Professionals
  • Data Engineers
  • Data Analysts & Business Intelligence Professionals
  • DBAs and DB professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Graduates looking to build a career in Big Data Field

Course Content

  • What is Unix/Linux ?
  • Unix Architecture
  • Editor : nano, gedit
  • File and Directory Handling
  • Changing different Directory Path
  • File Access Modes
  • Basic Useful Commands
  • Filter Commands
  • Compress and Archieve
  • Linking Files and Directories
  • Piping
  • Redirection
  • Searching Files and Directories
  • Searching Pattern in Files
  • Networking related Commands
  • Process
  • Job Scheduling
  • Write and execute Shell Script Program
  • Database Overview
  • Introduction to SQL
  • SQL Commands
  • SELECT Statement
  • Restricting and Sorting Data
  • Wildcard Character
  • Operators
  • Keywords
  • SQL Statements (DDL, DML, DCL, TCL)
  • Joins
  • Constraint
  • Set Operator
  • Object
  • Built-in Function
  • Datawarehouse Overview
  • DWH Characteristics and benifits
  • Data Warehouse Architecture
  • Data Mart
  • Source System and Target Systems
  • Staging Area
  • Drill up and Drill down
  • Facts and Dimensions
  • Slowly Changing Dimensions
  • Surrogate Key
  • Snapshot, View and Materialized View
  • Hierarchies and Levels
  • Measures
  • DWH Schema
  • Process Flow of ETL
  • Types of Sources and Target
  • Types of ETL Bugs/Defects
  • Overview of Java
  • Java Installation
  • Variables
  • Data Types
  • Operators
  • Array
  • Control Statement
  • Classes and Objects
  • Garbage Collection
  • Modifiers
  • OOPS Concept
  • Command line argument
  • Abstract class and Interfaces
  • String
  • Exception Handling
  • Multithreading
  • Collection Framework
  • JDBC
  • Incident Process and Management
  • Service Level Agreement
  • Metrices
  • Roles and Responsibilities
  • Impact
  • Issue analysis with SLA
  • Priority Determination
  • Change Management
  • Event
  • ITIL Process
  • Introduction to Autosys Tool

1. Bigdata-Hadoop Overview

  • Introduction to Bigdata
  • Charactericts of Bigdata
  • Hadoop – Big Data Solutions


  • Introduction to HDFS
  • Apache HDFS Architecture
  • HDFS Commands

3. Hadoop Eco System

  • Introduction to Eco System
  • Hadoop Architecture
  • OLAP Database Limitation
  • Gangila : Cluster Monitoring
  • Uses of connected Components
  • Oozie vs Zoo Keeper

4. Map Reduce

  • Introduction to Map Reduce
  • Difference between Traditional RDBMS and MapReduce
  • Job Tracker and Task Tracker
  • Map Reduce Terminologies
  • Combiner and Reducer
  • Serialization vs De-Serialization
  • Compiling and Verifying Map-Reduce Program
  • Word Count Example


  • Introduction to HBase
  • General HBase Commands
  • HBase Table operation
  • Work on Table Data
  • User Permission


  • Introduction to Hive
  • Hive Data Type
  • Work on Hive Database
  • Hive Table Operation
  • Column Operation
  • Views and Index
  • Built-in Operators
  • Buit-in Functions
  • HIVEQL Joins
  • Sub Queries
  • Partitioning and Bucketing
  • Internal vs External Table

7. PIG

  • Introduction to Pig
  • Hive Data Type
  • Pig Execution
  • Grunt Shell
  • Pig Latin
  • Operators
  • Grouping
  • Join
  • Combining
  • Spliting
  • Filtering
  • Sorting
  • Buit-in Functions
  • UDF
  • Pig Scripting


  • Introduction to SQOOP
  • SQOOP Import and Export
  • SQOOP Job
  • Code Gen
  • Eval
  • Working in Database
  • Table Operation

   9. FLUME

  • Introduction to Flume
  • Understanding the Source and Sink
  • Memory Channel
  • Working with flume Configuration file
  • Flume Program
  • Flume Operations
  • Working with Twitter Source
  • 9. QA Activities
  • Big Data Testing Strategy
  • Test Environment needs
  • Data Staging Validation
  • Performance Testing
  • Regression Testing
  • Challenges in Bigdata Hadoop Testing
  • Testing Gates and Entry Points
  • Data Quality Checks

10. Best Practices

  • Hue, HCatalog, AWS
  • Real time Project Co-relate
  • Miscellaneous Assignment

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