BigData & Hadoop

Big Data & Hadoop Certfied Course in Mohali | Big Data Training in Mohali

Itronix Solutions provides Best Big Data & Hadoop Training in Mohali as per the current industry standards. Itronix Solutions is one of the most recommended Best Big Data & Hadoop Training Institute in Mohali that offers hands-on practical knowledge/ practical implementation on live case studies and will ensure the job with the help of advanced level Best Big Data & Hadoop Training Courses. At Itronix Solutions Best Big Data & Hadoop Training in Mohali is conducted by specialist working certified corporate professionals having 10+ years of experience in implementing real-time Best Big Data & Hadoop projects and case studies.

Big Data Traning Mohali

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ITRONIXSOLUTIONS Project-based 6 Weeks Summer Training in hadoop Covers the Following Modules

Big Data and Hadoop Course Curriculum

Module 1: Introduction to Big Data

  • Introduction to Big Data and Hadoop
  • Big Data Analytics
  • What is Big Data?
  • Four v’s of Big Data
  • Rise of Big Data
  • Compare Hadoop vs traditional systems
  • Hadoop Master-Slave Architecture
  • Understanding HDFS Architecture
  • NameNode, DataNode, Secondary Node
  • Learn about JobTracker, TaskTracker, Resource Manager, Node Manager

Module 2: HDFS and MapReduce Architecture

  • Hadoop Architecture Distributed Storage (HDFS) and Yarn
  • What is HDFS
  • Need for HDFS
  • Regular File System vs HDFS
  • Characteristics of HDFS
  • HDFS Architecture and Components
  • High Availability Cluster Implementations
  • HDFS Component File System Namespace
  • Data Block Split
  • Data Replication Topology
  • HDFS Command Line
  • Yarn Introduction
  • Yarn Use Case
  • Yarn and Its Architecture
  • Resource Manager
  • How Resource Manager Operates
  • Application Master
  • How Yarn Runs an Application
  • Tools for Yarn Developers
  • Core components of Hadoop
  • Understanding Hadoop Master-Slave Architecture
  • Learn about NameNode, DataNode, Secondary Node
  • Understanding HDFS Architecture
  • Anatomy of Read and Write data on HDFS
  • MapReduce Architecture Flow
  • JobTracker and TaskTracker
  • Resource Manager and Node Manager

Module 3:  Hadoop Configuration

  • Hadoop Modes
  • Hadoop Terminal Commands
  • Cluster Configuration
  • Web Ports
  • Hadoop Configuration Files
  • Reporting, Recovery
  • MapReduce in Action

Module 4: Understanding Hadoop MapReduce Framework

  • Overview of the MapReduce Framework
  • Use cases of MapReduce
  • MapReduce Architecture
  • Anatomy of MapReduce Program
  • Mapper/Reducer Class, Driver code
  • Understand Combiner and Partitioner

Module 5: Advance MapReduce – Part 1

  • Write your own Partitioner
  • Writing Map and Reduce in Python
  • Map side/Reduce side Join
  • Distributed Join
  • Distributed Cache
  • Counters
  • Joining Multiple datasets in MapReduce

Module 6: Advance MapReduce – Part 2

  • MapReduce internals
  • Understanding Input Format
  • Custom Input Format
  • Using Writable and Comparable
  • Understanding Output Format
  • Sequence Files
  • JUnit and MRUnit Testing Frameworks

Module 7: Apache Pig

  • Apache Pig Introduction
  • Apache Pig Architecture
  • Apache Pig Installation
  • Apache Pig Execution
  • Apache Pig Grunt Shell
  • Apache Pig – Reading Data
  • Apache Pig – Storing Data
  • Apache Pig – Diagnostic Operator
  • Apache Pig – Describe Operator
  • Apache Pig – Explain Operator
  • Apache Pig – Illustrate Operator
  • Apache Pig – Group Operator
  • Apache Pig – Cogroup Operator
  • Apache Pig – Join Operator
  • Apache Pig – Cross Operator
  • Apache Pig – Union Operator
  • Apache Pig – Split Operator
  • Apache Pig – Filter Operator
  • Apache Pig – Distinct Operator
  • Apache Pig – Foreach Operator
  • Apache Pig – Order By
  • Apache Pig – Limit Operator
  • Apache Pig – Eval Functions
  • Apache Pig – Bag & Tuple Functions
  • Apache Pig – String Functions
  • Apache Pig – date-time Functions
  • Apache Pig – Math Functions

Module 8: Apache Hive and HiveQL

  • Hive – Introduction
  • Hive – Installation
  • Hive – Data Types
  • Hive – Create Database
  • Hive – Drop Database
  • Hive – Create Table
  • Hive – Alter Table
  • Hive – Drop Table
  • Hive – Partitioning
  • Hive – Built-In Operators
  • Hive – Built-In Functions
  • Hive – Views And Indexes
  • Difference between Hive and RDBMS

Module 9: Advance HiveQL

  • Multi-Table Inserts
  • Joins
  • Grouping Sets, Cubes, Rollups
  • Custom Map and Reduce scripts
  • Hive SerDe
  • Hive UDF
  • Hive UDAF
  • Hive Partitioning
  • Dynamic Partitioning in Hive
  • Hive Bucketing
  • Hive Partitioning and Bucketing together
  • Hive Data Sampling

Module 10: Apache Flume, Sqoop, Oozie

  • Sqoop – How Sqoop works
  • Sqoop Architecture
  • Flume – How it works
  • Flume Complex Flow – Multiplexing
  • Oozie – Simple/Complex Flow
  • Oozie Service/ Scheduler
  • Use Cases – Time and Data triggers

Module 11 NoSQL Databases

  • CAP theorem
  • RDBMS vs NoSQL
  • Key Value stores: Memcached, Riak
  • Key Value stores: Redis, Dynamo DB
  • Column Family: Cassandra, HBase
  • Graph Store: Neo4J
  • Document Store: MongoDB, CouchDB

Module 12 Apache HBase

  • When/Why to use HBase
  • HBase Architecture/Storage
  • HBase Data Model
  • HBase Families/ Column Families
  • HBase Master
  • HBase vs RDBMS
  • Access HBase Data
  • HBase – Overview
  • HBase – Architecture
  • HBase – Installation
  • HBase – Shell
  • HBase – General Commands
  • HBase – Admin API
  • HBase – Create Table
  • HBase – Listing Table
  • HBase – Disabling a Table
  • HBase – Enabling a Table
  • HBase – Describe & Alter
  • HBase – Exists
  • HBase – Drop a Table
  • HBase – Shutting Down
  • HBase – Client API
  • HBase – Create Data
  • HBase – Update Data
  • HBase – Read Data
  • HBase – Delete Data
  • HBase – Scan
  • HBase – Count & Truncate
  • HBase – Security

Module 13 Apache Zookeeper

  • What is Zookeeper
  • Zookeeper Data Model
  • ZNokde Types
  • Sequential ZNodes
  • Installing and Configuring
  • Running Zookeeper
  • Zookeeper use cases

Module 14 Hadoop 2.0, YARN, MRv2

  • Hadoop 1.0 Limitations
  • MapReduce Limitations
  • HDFS 2: Architecture
  • HDFS 2: High availability
  • HDFS 2: Federation
  • YARN Architecture
  • Classic vs YARN
  • YARN multitenancy
  • YARN Capacity Scheduler

Module 15: Basics of Functional Programming and Scala

  • Scala – Overview
  • Scala – Environment Setup
  • Scala – Basic Syntax
  • Scala – Data Types
  • Scala – Variables
  • Scala – Classes & Objects
  • Scala – Access Modifiers
  • Scala – Operators
  • Scala – IF ELSE
  • Scala – Loop Statements
  • Scala – Functions
  • Scala – Closures
  • Scala – Strings
  • Scala – Arrays
  • Scala – Collections
  • Scala – Traits
  • Scala – Pattern Matching
  • Scala – Regular Expressions
  • Scala – Exception Handling
  • Scala – Extractors
  • Scala – Files I/O

Module 16: Apache Spark Next-Generation Big Data Framework

  • History of Spark
  • Limitations of Mapreduce in Hadoop
  • Introduction to Apache Spark
  • Components of Spark
  • Application of In-memory Processing
  • Hadoop Ecosystem vs Spark
  • Advantages of Spark
  • Spark Architecture
  • Spark Cluster in Real World
  • Demo: Running a Scala Programs in Spark Shell
  • Demo: Setting Up Execution Environment in Ide
  • Demo: Spark Web UI
  • Apache Spark – Core Programming
  • Apache Spark – Deployment
  • Advanced Spark Programming

Module 17: Spark MLLib Modelling BigData with Spark

  • Spark Mllib Modeling Big Data With Spark
  • Role of Data Scientist and Data Analyst in Big Data
  • Analytics in Spark
  • Machine Learning
  • Supervised Learning
  • Demo: Classification of Linear Svm
  • Demo: Linear Regression With Real World Case Studies
  • Unsupervised Learning
  • Demo: Unsupervised Clustering K-means
  • Reinforcement Learning
  • Semi-supervised Learning
  • Overview of Mllib

6 Week Based Projects List in Big Data Hadoop Technologies

  • Hospital Management System (HMS)
  • College Management System (CMS)
  • Mobile Store System .
  • Online exam
  • Online Shopping
  • Internet Banking
  • Airline Reservation System
  • ATM Database System
  • Multi User Voice Chat (VOIP)
  • Telephone Billing System
  • Client Server application
  • Parking system
  • Railway Ticker System
  • College Library Record Application
  • Billing Management System

ITRONIXSOLUTIONS Course duration for Big Data Hadoop Training in Mohali

  • Fast Track Training Program (6+ hours daily)
  • Regular Classes (Morning, Day time & Evening)
  • Weekend Training Classes (Saturday, Sunday & Holidays)

WHY CHOOSE US FOR BIG DATA & HADOOP TRAINING IN MOHALI?

Big Data & Hadoop Training in Mohali  can become the best career option for students and it has some reason to sat this phrase.

  • We provide flexible class timings according to student’s convenience and availability.
  • We support any training with more practical sessions & real-time scenarios.
  • Our way of training makes the student capable of working on live projects & latest technologies.

ITRONIX TRAINER’s PROFILE FOR BIG DATA & HADOOP TRAINING IN MOHALI.

Big Data & Hadoop trainers at ITRONIX SOLUTIONS:

  • Our Expertise is fully up-to-date in the subjects & have hands-on experience in real-world industry application.
  • Have received awards and recognition from our partners and various recognized IT Organizations.
  • Our expertise is certified in their particular field.
  • Have received awards from top leading brands & our partner like Google, IBM, Microsoft & Intel.
  • Our trainer for this Big Data & Hadoop Training has hands-on experience in Big Data & Hadoop, including an immense year of experience teaching Big Data & Hadoop for entrepreneurs and professionals.

ITRONIX’S Placement Assistance

Being one of the top Big Data & Hadoop Training Institute and a Certified Google Partner, Itronix Solutions deals with 100% Job Placements for Eligible Students after successful completion of the course.

  • ITRONIX helps in Learn how to keep yourself updated with latest trends and technologies.
  • ITRONIX helps in updating your resume according to the job requirement
  • ITRONIX helps in sorting and training the candidates according to company requirement.
  • ITRONIX helps in Interview Training Questions and Answers, Spoken English, Group Discussions, Mock Interviews, Presentation skills to prepare students to face a challenging interview situation with ease.
  • ITRONIX helps in providing placement assistance in top IT FIRMS like Google, Facebook, Sasken, Amazon, HCL, TCS, Infosys, Wipro, Intel, Robert Bosch, Mindtree, Accenture and many more.

ITRONIX SOLUTIONS Course duration for Big Data & Hadoop Industrial Training in Mohali

  • Fast Track Training Program (6+ hours daily)
  • Regular Classes(Morning, Daytime & Evening)
  • Weekend Training Classes(Saturday, Sunday & Holidays)

Top 25 Reasons to Choose ITRONIX for Big Data & Hadoop Training in Mohali

  • Big Data & Hadoop training in Mohali is designed according to current IT field scenarios.
  • We offer the best Big Data & Hadoop training and placement in Mohali with well-defined training modules & curriculum
  • We facilitate regular, weekend and personal Big Data & Hadoop training in Mohali.
  • We have one of the biggest team of certified expertise with 7+ years of real industry experience.
  • Mentors of Big Data & Hadoop training in Mohali helps in major project training, minor project training, live project preparation, interview preparation, and job placement support.
  • Smart labs with fully equipped &latest equipment’s.
  • 24×7 lab facility. Students are free to access the labs for an unlimited period of hours as per their own preferred timings.
  • Smart classrooms fully equipped with projectors, live racks, Wi-Fi connectivity, digital pads. We have the latest labs equipment.
  • Weekly Group Discussions.
  • On training included mock test series, interview preparation, group discussions
  • Free of cost weekly seminars on personality development & personal presentation.
  • A series of Study Material provided: Books, PDF’s, Video Lectures, Sample questions, Interview Questions (Technical and HR), and live Projects.
  • PG/Flats facilities available at Rs.4,500/- per month for Big Data & Hadoop training in Mohali.
  • 24*7 assistance from our expertise.
  • Globally recognized course completion certification.
  • Extra Time Slots (E.T.S.) for Practical ’s, Absolutely Free.
  • Doubt Sessions on weekends.
  • The ability to retake the class at no-charge as often as desired.
  • One-on-One attention and guidance by our trainers.
  • Instructors help students to take knowledge of complex technical concepts.
  • Payment options: Cheque, Cash, Credit Card, Debit card, Net Banking, Paytm, Google Pay.
  • We are committed to helping students achieving their desired goals
  • Our years of experience helps us in delivering true value solutions to students, professionals, and entrepreneurs.
  • Success in ITRONIX SOLUTIONS gives students admission to the world’s best MNC’s
  • ITRONIX SOLUTIONS is passionate about the education of students, this factor makes us an extremely popular & first choice for learners.