Big Data & Hadoop Certfied Course in Mohali

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Join Best Big Data Training in Mohali

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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 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

Top Reasons to join Itronix Solutions for Master A-Z Big Data Hadoop Course in Mohali:

  • We provide Big Data and Hadoop Video Tutorials of the classroom sessions, so in case if the candidate missed any class he/she can learn from those video tutorials by Er Karan Arora
  • All our training programs are based on live case studies and industry oriented projects.
  • Our training curriculum is approved by our data scientists and placement partners.
  • Training/Coaching are going to be conducted on daily & weekly basis and conjointly.  We will customize the training schedule as per the candidate necessities.
  • We have one of the biggest team of certified expertise with 8+ years of real industry experience.
  • Training will be conducted by our Founder and Data Scientists.
  • Our Labs are terribly well-equipped with upgraded version of hardware and software.
  • Our classrooms are fully geared up with projectors, Smart Labs, Smart Tablets & Wi-Fi access.
  • We provide free personality development classes which includes Fluency, Group Discussions, Job interviews Preparation & Presentation skills.
  • You will get study material in form of E-Book’s, Jupyter Notebooks and 1500 Interview Questions.
  • Worldwide Recognized Course Completion Certificate by IBM, once you’ve completed the course.
  • Flexible Payment options such as Paytm, Cheques, Google Pay, Cash, Credit Card, UPI, Debit Card and Net Banking.
  • Big Data & Hadoop training in Mohali  is designed according to current IT Standards.
  • We offer the best Big Data & Hadoop training and placement in Mohali with well-defined training modules & curriculum
  • 24×7 lab facility. Students/Professionals are free to access the labs, Desktops for  as per their own preferred or suitable timings.

Itronix Solutions Placement Assistance for Big Data Training | Course in Mohali

Being one of the top Big Data and Hadoop Training Company Mohali and a Certified Microsoft Authorized Education Partner, Cisco Partners, Intel Technology Provider, Google Certified Professionals & IBM Certified. Itronix Solutions deals with 100% Job Placements for Eligible Students after successful completion of the course.

  • Itronix Solutions helps to keep you updated with latest trends and technologies in Big Data and Hadoop.
  • Itronix Solutions helps in updating your resume according to the job or company requirement
  • Itronix Solutions helps in providing placement assistance in top IT FIRMS. Many of our alumni are working in ValueCoders, ArStudiouz, PixelCrayons,Prolitus, Space-O Technologies, Technostacks Infotech Pvt. Ltd, Focaloid Technologies,RIT Solution, iPraxa Inc, Webtunix AI TCS, Amazon, Facebook, Sasken, CrossML, Infosys, Google, Uber and Wipro