Advanced Bigdata Hadoop Master Course Program in Bangalore

TIB ACADEMY No. 1 Software Training Institute in Bangalore

Trained More Than 5000+ Professionals
Rated 4.7 / 5 by Students | 5 - 25 years Experienced Trainers

Weekday Batch: 7.30AM to 10.30AM, 5PM to 9PM (duration: 2 hours)

Weekend Batch : 7 AM to 9 PM Saturday & Sunday ( duration: 3-4 hours )

Want to be a Trainer?

Download syllabus

Our New Batch schedule

For Free Demo

THIS ENQUIRY WILL CHANGE YOUR CAREER

Join our professional IT courses and move ahead in your Career, with the help of our Experienced Trainers We ensure 100% placement for all our Students!!! Would you like to Boost Your career? call us now 9513332301 / 02

Providing World Class Training

Get Your Training Now From Us

+91 80- 421 57544

Your Trust is our achievement

Contact Us : +91 - 9513332301 / 02

Thubarahalli, Kundalahalli Gate, Marathahalli,Bangalore

Become a Seasoned Bigdata Hadoop Developer Soon!!!

TIB Academy offering this Master Program, exclusively for the freshers/beginners who are willing to scale-up their knowledge from Zeroth level to advanced level.
Via our Advanced Hadoop Master Course Program, we are exploring our students to different trending technologies (Core Java, SQL, UNIX, Bigdata Hadoop and Apache Spark) to inspire a complete developer in you.


Exclusive Free Benefits of Our Advanced Hadoop Master Course Program

  1.   Free Career Counselling
  2.   Mini POC (2 Projects)
  3.   Assessments (3)
  4.   Resume Building (2 level)
  5.   Mock-up Interview sessions
  6.   Technical Meetups (2 sessions)

Advance Hadoop Training in Bangalore

Our Advanced Hadoop Master Course Program

Below mentioned is our Master Course Content that includes Core Java, SQL, UNIX, Bigdata Hadoop and Apache Spark.


  A First Look
  Java Basics
  Class and Object Basics
  Flow of Control - Branching and Iteration
  Strings and Arrays
  Packages
  Composition and Inheritance
  Interfaces
  Exceptions
  JDBC
  Java Collections and Generics
  The Java Streams Model
  Working with Files
  Advanced Stream Techniques
  Java Serialization
  Introduction to Oracle Database
  Retrieve Data using the SQL SELECT Statement
  Restrict and Sort Data
  Usage of Single-Row Functions to Customize Output
  Invoke Conversion Functions and Conditional Expressions
  Aggregate Data Using the Group Functions
  Display Data from Multiple Tables Using Joins
  Use Sub-queries to Solve Queries
  The SET Operators
  Data Manipulation Statements
  Use of DDL Statements to Create and Manage Tables
  Schema Objects
  Management of Schema Objects
  Data Time Operations
  Retrieve Data Using Sub-queries
  Build in Function (Regular Expressions)
  vi
  ls
  mkdir
  rm
  mv
  cp
  cat
  touch
  chown
  chmod
  grep
  gzip
  tar
  wget
  ifconfig
  su
  sudo
  ssh
  scp
  Installation and Setup of Hadoop Cluster
  Mastering HDFS (Hadoop Distributed File System)
  MapReduce Hands-on using JAVA
  Big Data Analytics using Pig and Hive
  HBase and Hive Integration
  Understanding of ZooKeeper
  YARN Architecture
  Understanding Hadoop framework
  Linux Essentials for Hadoop
  Mastering MapReduce
  Using Java, Pig, and Hive
  Mastering HBase
  Data loading using Sqoop and Flume
  Workflow Scheduler Using OoZie
  Hands-on Real-time Project
  Getting Familiar with Spark
  Apache Spark in Big Data Landscape and purpose of Spark
  Apache Spark vs. Apache MapReduce
  Components of Spark Stack
  Downloading and installing Spark
  Launch Spark
  Working with Resilient Distributed Dataset (RDD)
  Transformations and Actions in RDD
  Loading and Saving Data in RDD
  Key-Value Pair RDD
  MapReduce and Pair RDD Operations
  Playing with Sequence Files
  Using Partitioner and its impact on performance improvement
  Spark Application Programming
  Master SparkContext
  Initialize Spark with Java
  Create and Run Real-time Project with Spark
  Pass functions to Spark
  Submit Spark applications to the cluster
  Spark Libraries
  Spark configuration, monitoring, and tuning
  Understand various components of Spark cluster
  Configure Spark to modify
  Spark properties
  environmental variables
  logging properties
  Visualizing Jobs and DAGs
  Monitor Spark using the web UIs, metrics, and external instrumentation
  Understand performance tuning requirements
  Spark Streaming
  Understanding the Streaming Architecture – DStreams and RDD batches
  Receivers
  Common transformations and actions on DStreams
  MLlib and GraphX

Fees and Duration of Advanced Hadoop Master Course Program

Course Content Duration Actual Fees Special Offer Fees

Core Java

10 to 15 hours 11750 5000

SQL

06 to 10 hours 11750 5000

UNIX

06 to 10 hours 11750 5000

Hadoop

35 to 40 hours 20500 15000

Apache Spark Fundamentals

6 to 10 hours 11750 5000

Actual Course Fees: INR 67,500         Discounted Fees: INR 35,000



Bigdata Hadoop Developer Job Opportunities in Bangalore

Profile Key Skills Required
Hadoop Developer
  • Core Java Programming
  • RDBMS (SQL) concepts
  • Data Analytics
Big Data Engineer
  • UNIX
  • Apache Hadoop
  • Apache Spark
AWS Hadoop Developer
  • UNIX
  • Apache Hadoop
  • Python
  • Web services
  • AWS – solution architect
Hadoop Admin
  • Excellent administration skills in Hadoop


Advanced Hadoop Master Course Schedule

Approximate Duration of our Advanced Hadoop Master Course: 3 to 4 Months
Course Details
Coures Name Class time Availablity
WeekDays 1 and ½ hours 7 AM to 10 AM
WeekEnds 3 hours 3 PM to 6 PM

Companies that are Hiring Bigdata Hadoop Developers

JP Morgan, Accenture, Capgemini, Akamai, TCS, Ocwen, Hexaware, Mphasis, Altisource, Oracle, IBM