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

    Big Data Traning Mohali

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    Join Best Big Data Training in Chandigarh, Big Data Course in Chandigarh, Big Data Institute in Chandigarh

    Itronix Solutions provides Best Big Data & Hadoop Training in Chandigarh as per the current industry standards. Itronix Solutions is one of the most recommended Best Big Data & Hadoop Training Institute in Chandigarh 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 Chandigarh 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
    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
    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 Chandigarh:
    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 Chandigarh   is designed according to current IT Standards.
    We offer the best Big Data & Hadoop training and placement in Chandigarh 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 Chandigarh

    Being one of the top Big Data and Hadoop Training Company Chandigarh  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


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