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Big Data Hadoop ( LS16 )

4.5 + (25,859) Students Ratings

IQ Training’s Big Data Hadoop Certification Course is designed by industry experts, which helps to master the concepts of Hadoop framework and also helps you to gain in-depth knowledge on Big Data and Hadoop Ecosystem tools such as  MapReduce, Hive, Pig, Sqoop, Oozie, and Flume.

Course Price :

₹10,349
₹11,499
10%
off

Live Instructor

Available

Self Paced

Think Bigger Advantage

Live Online Classes

All our Classes are Live Instrucotor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schdules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of Completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Training Schedule
Batch Start Date Days of Training Weekday/ Weekend Timings
 
 
 
 
 

Course Curriculum

Learning Objectives: In this module, you will get to know what Big Data exactly mean, the limitations of the traditional solutions for Big Data problems, you will also learn how Hadoop solves Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & working of MapReduce framework.

 

Topics:

  • Introduction to Big Data & Big Data Challenges
  • Limitations & Solutions of Big Data Architecture
  • Hadoop & its Features
  • Hadoop Ecosystem
  • Hadoop 2.x Core Components
  • Hadoop Storage: HDFS (Hadoop Distributed File System)
  • Hadoop Processing: MapReduce Framework
  • Different Hadoop Distributions

Learning Objectives: In this module, you will understand the Architecture of Hadoop Cluster, and also learn the important configuration files of Hadoop Cluster, Data Loading Techniques using Sqoop & Flume, and setup of Single Node and Multi-Node Hadoop Cluster.

Topics:

  • Hadoop 2.x Cluster Architecture
  • Federation and High Availability Architecture
  • Typical Production Hadoop Cluster
  • Hadoop Cluster Modes
  • Common Hadoop Shell Commands
  • Hadoop 2.x Configuration Files
  • Single Node Cluster & Multi-Node Cluster set up
  • Basic Hadoop Administration

Learning Objectives: In this module, you will learn in-depth about the Hadoop MapReduce framework and also the working of MapReduce on how data stored in HDFS. You will also understand all the MapReduce advanced concepts like Input Splits, Combiner & Partitioner.

 

Topics:

  • Traditional way vs MapReduce way
  • Why MapReduce
  • YARN Components
  • YARN Architecture
  • YARN MapReduce Application Execution Flow
  • YARN Workflow
  • Anatomy of MapReduce Program
  • Input Splits and what is the Relation between HDFS Blocks and Input Splits
  • MapReduce: Combiner & Partitioner
  • Demo of Health Care Dataset
  • Demo of Weather Dataset

Learning Objectives: Here, this module helps you to understand Advanced MapReduce Concepts such as Counters, MRunit, Distributed Cache,  Reduce Join, Sequence and Custom Input Format, and XML parsing 

Topics:

  • Counters
  • Distributed Cache
  • MRunit
  • Reduce Join
  • Custom Input Format
  • Sequence Input Format
  • XML file Parsing using MapReduce

Learning Objectives: In this module, you will learn Apache Pig, different types of use cases where we can use Pig, tight coupling between MapReduce and Pig, and scripting of Pig Latin, Pig running modes, Pig UDF, Pig Streaming & Testing Pig Scripts. You will also be working on the healthcare dataset.

Topics:

  • Introduction to Apache Pig
  • MapReduce vs Pig
  • Pig Components & Pig Execution
  • Pig Data Types & Data Models in Pig
  • Pig Latin Programs
  • Shell and Utility Commands
  • Pig UDF & Pig Streaming
  • Testing Pig scripts with Punit
  • Aviation use-case in PIG
  • Pig Demo of Healthcare Dataset

Learning Objectives: This module will help you understand concepts of Hive, Hive Data types, loading and querying data in Hive, running hive scripts and UDF.

Topics:

  • Introduction to Apache Hive
  • Hive vs Pig
  • Hive Architecture and Components
  • Hive Metastore
  • Limitations of Hive
  • Comparison with Traditional Database
  • Hive Data Types and Data Models
  • Hive Partition
  • Hive Bucketing
  • Hive Tables (Managed Tables and External Tables)
  • Importing Data
  • Querying Data & Managing Outputs
  • Hive Script & Hive UDF
  • Retail use case in Hive
  • Hive Demo on Healthcare Dataset

Learning Objectives: In this module, you will understand advanced Apache Hive concepts such as UDF, Hive indexes and views, Dynamic Partitioning, and optimizations in Hive. You will also gain an in-depth knowledge of Apache HBase, HBase Architecture, HBase components and running modes.

Topics:

  • Hive QL: Joining Tables, Dynamic Partitioning
  • Custom MapReduce Scripts
  • Hive Indexes and views
  • Hive Query Optimizers
  • Hive Thrift Server
  • Hive UDF
  • Apache HBase: Introduction to NoSQL Databases and HBase
  • HBase v/s RDBMS
  • HBase Components
  • HBase Architecture
  • HBase Run Modes
  • HBase Configuration
  • HBase Cluster Deployment

Learning Objectives: In this module, you will learn advanced Apache HBase concepts, demos on HBase Bulk Loading & HBase Filters. You will also learn what Zookeeper exactly means, how Zookeeper helps in monitoring a cluster & why HBase uses Zookeeper.

Topics:

  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Hive Data Loading Techniques
  • Apache Zookeeper Introduction
  • ZooKeeper Data Model
  • Zookeeper Service
  • HBase Bulk Loading
  • Getting and Inserting Data
  • HBase Filters

Learning Objectives: In this module, you will get to know what is Apache Spark, SparkContext & Spark Ecosystem. You will learn how Resilient Distributed Datasets (RDD) work in Apache Spark. You will be able to run an application on the Spark Cluster & also compare the performance of MapReduce and Spark.

Topics:

  • What is Spark
  • Spark Ecosystem
  • Spark Components
  • What is Scala
  • Why Scala
  • SparkContext
  • Spark RDD

Learning Objectives: In this module, you will learn how the components of multiple Hadoop ecosystems work together to solve Big Data problems. In this module, you will also learn about Flume & Sqoop demo, Apache Oozie Workflow Scheduler for Hadoop Jobs, and Talend integration of Hadoop

Topics:

  • Oozie
  • Oozie Components
  • Oozie Workflow
  • Scheduling Jobs with Oozie Scheduler
  • Demo of Oozie Workflow
  • Oozie Coordinator
  • Oozie Commands
  • Oozie Web Console
  • Oozie for MapReduce
  • Combining flow of MapReduce Jobs
  • Hive in Oozie
  • Hadoop Project Demo
  • Hadoop Talend Integration
Like the course? Enroll Now

Structure your learning and get a certificate to prove it.

Course Details

Big Data Hadoop Training is curated by Hadoop industry experts to make you a Certified Big Data Expert. This Big Data Hadoop course offers:

  • In-depth knowledge of Big Data and Hadoop including HDFS, YARN, and MapReduce.
  • Acquire knowledge on various tools which comes under Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • The exposure to many real-world industry-based projects
  • Projects which are diverse in nature covering different data sets from various multiple domains such as banking, telecommunication, social media, insurance, and e-commerce

The growth of Big Data analytics across the world is enormous. It’s a great opportunity for all IT professionals to enhance their careers. Hiring managers are desperately looking for certified Big Data Hadoop experts. IQ Training’s Big Data & Hadoop Certification Course will certainly help you to grab this opportunity and accelerate your career. This course can be pursued by professionals as well as freshers. It is best suited mainly for

  • 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 those who are looking to build a career in Big Data Field

Prior knowledge of Core Java and SQL will be helpful although it is not mandatory. Further, to brush up your skills, IQ Training offers a complimentary self-paced course on "Java essentials for Hadoop"

Big Data Hadoop Ceritficate

Big Data Hadoop Reviews

25,859

Total number of reviews

4.5

Aggregate review score

80%

Course completion rate

Big Data Hadoop Features

Live Online Classes

All our Classes are Live Instructor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schedules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Course Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Like the course? Enroll Now

Structure your learning and get a certificate to prove it.

Big Data Hadoop FAQs

You will never miss a class at IQ Online Training! You can choose either of the two options:

  1. View the recorded session of the class available in your LMS or
  2. You can attend the missed session in any other live batch.

After the enrolment, the LMS access will be instantly provided to you able to access for lifetime which includes complete set of previous class recordings/PPTs/PDFs/assignments. You can start learning right away.

Your access to the Support Team is for lifetime. Our team will help you in resolving queries, during and after the course.

Yes, once enrollment has done for course. Access to the course material will be available for lifetime.

You can Call our support numbers listed in site OR Email us at info@iqtrainings.com.

You can view in-depth class sample recordings before the enrollment. Experience the complete learning instead of a demo session with our expertise.

All the instructors are Industry experts with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are well trained for providing an awesome learning experience to the participants.

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