Big Data Hadoop Certification Training

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CourseJet Big Data Hadoop Training will provide the best ways for the learners to master the fundamentals of Big Data and Hadoop Administration. In this Hadoop Training, our industry expert trainers train aspirants by excelling and explaining all the essential concepts of the Big Data Hadoop course. This Big Data Course will be delivered by the industry expert professionals who have firm experience in handling Big Data Hadoop use cases. Big Data Hadoop Online Training by CourseJet helps you gain in-depth knowledge of fundamental concepts like Spark, Big Data Hadoop, Sqoop, MapReduce, Spark SQL, Working with huge volumes of data in Hadoop, MapReduce API, Hive Architecture, HBase, Pig, and its Installation, Spark Architecture, RDD Operations, Hadoop Distributed File System (HDFS), etc. Our Big Data course will also make you get ready for the Big Data Hadoop Certification and also provides guidance to clear the certification exam. Sign up today for the CourseJet's expert-designed Big Data Online Training.

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30 Hrs

Course Duration

15 Hrs

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Big Data Hadoop Certification Training

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Upcoming Batch Schedule

Check out our Big Data Hadoop online certification batch timings. Does this batch not suits your timings? No worries, we will customize and arrange the batch timings that match you perfectly to your interest.

29-04-2024

Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session. (Monday - Friday) Time: 08:00 AM (IST)
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Week Day

28-04-2024

Weekend Regular (Class 3Hrs) / Per Session. (Saturday - Sunday) 11:00 AM (IST)
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Week End

01-04-2024

Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session. (Monday - Friday) Time: 08:00 AM (IST)
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Week Day

29-04-2024

Weekdays Fast-track (Class 3Hrs - 4Hrs) / Per Session. (Monday - Friday) 10:00 AM (IST)
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27-04-2024

Weekend Regular (Class 3Hrs) / Per Session. (Saturday - Sunday) 11:00 AM (IST)
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Week END

27-04-2024

Weekend Fast-track (Class 5Hrs - 6Hrs) / Per Session. (Saturday - Sunday) 11:00 AM (IST)
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Best Big Data Hadoop Certification Online Course

Are you in search of the Best Online Training institute for Big Data Hadoop Training, Coursejet is one of the top Big Data Hadoop Online Training institutes! They provide the best Big Data Hadoop training for the aspirants by the industry experts.

Benefits of Learning Big Data Hadoop at CourseJet

  • CourseJet provides fully hands-on training for the learners to gain practical experience in all the core concepts of Big Data Hadoop course.
  • Big Data Hadoop course curriculum is designed with the utmost care at CourseJet by well-experienced professionals in Big Data Hadoop.
  • Our trainers at CourseJet cover all the concepts of Big Data Hadoop from basic level to advance level to make learners get a clear idea about every small aspect of a concept.
  • We make learners work on case studies and real-life use cases to gain hands-on experience in a particular field of Big Data Hadoop and make students remember each concept with real-time examples.
  • We provide Big Data Hadoop video recordings of the sessions for the students who want to listen again and also our trainers make sure that they recap the previous session topics before they start any fresh concept.
  • We at CourseJet are very glad to tell you that our Big Data Hadoop trainers will be available for the students 24/7 to clarify their doubts.
  • CourseJet provides 100% job-oriented Big Data Hadoop training.
  • Certification Guidance is also provided for the learners at CourseJet.
  • At CourseJet you will find the affordable fee structure.
  • CourseJet offers more than 250+ IT training courses all over with 10+ years of experienced trainers.

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About Big Data Hadoop Course

Apache Hadoop is an open-source framework it is used to analyze and process a huge volume of data. Big Data Hadoop provides ways for enterprises to store much data by adding a number of servers to a Hadoop Cluster. Each server has the power to process the cluster and adds more storage space. This becomes a cost-effective method to store data with Hadoop than other data storage methods. Moreover, Hadoop Administration is used to put workloads of Big Data in the right system and also helps organizations to optimize data management structure. Our Hadoop Big Data Training is curated by industry professionals to help you gain expertise in Hadoop course contents right from the beginning to the advanced level through real-time projects and industry use cases. In this Big Data Course, the concepts included are Hadoop Administration, Hive, HBase, MapReduce, RDD Operations, Spark SQL, Pig, and a lot more. This Hadoop Online Training will help you become job-ready by providing assistance and also helps you in clearing the Big Data Certification.

Upon the successful completion of this Hadoop Big Data Training, you will gain in-depth knowledge of the following.

  • Gain insights on Big Data and Hadoop
  • Basic Fundamentals of Hadoop
  • Hadoop Distributed File System (HDFS) and its key features
  • YARN and its key components
  • MapReduce and Data Flow in MapReduce
  • Various Hadoop Administration Activities
  • Introduction to HBase, Hive, Pig, Sqoop, and Spark.
  • Apache Spark RDD Operations and Persistence
  • Sqoop Integration with Hadoop
  • Static and Dynamic Partitioning
  • Working with industry-specific projects.

Aspirants who want to build their career in Big Data Hadoop can learn this Hadoop Big Data Training. The following are the job roles who get benefited by learning this Hadoop Big Data Course.

    • Graduates and Freshers
    • Project Managers
    • System Administrators
    • Big Data Hadoop Developers
    • Analytics Professionals 
    • Programming Developers
    • Data Warehousing Professionals
    • Testing Professionals
    • Business Intelligence Professionals
    • Mainframe Professionals
    • Architects

There are no specific prerequisites to take up this Big Data Hadoop course. Having a basic knowledge of Java Programming, SQL, Big Data is an added advantage.

  • According to the recent survey report, the Global Hadoop Market will rise to $84.6 billion by the end of 2021 with a CAGR of 63.4%.
  • Eventually, both Hadoop and Big Data are the in-demand technologies in the current market trend.
  • There is an escalating demand for Hadoop technology and Hadoop professionals in the IT job market every single day.
  • According to neuvoo.com, the average salary offered to Hadoop Admin is $110,000 per annum in the United States. The most experienced Hadoop Admins earn up to $169,163 per annum.

CourseJet will provide individual attention to all our students so it will help to clarify all the doubts so we restrict the batch size of each Big Data Hadoop course to 5 to 6 members.

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Big Data Hadoop Course Curriculum

Our Big Data Hadoop Course Curriculum encompasses all the course modules with a clear description and the concepts covered in each module. CourseJet designs the syllabus in the learner's perspective to provide comprehensive knowledge.

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Apache Hadoop is an open-source framework this is mainly designed for processing very large data sets across a number of clusters of computers and distributed storage. This framework is also used for running applications on clusters of the computer. it is the most prominently used ecosystem of open source components that totally changes the way enterprises analyze, process, and store data. 

Topics Covered in this module are:

  • What is Apache Hadoop
  • Modules of Hadoop
  • Hadoop Architecture
  • History of Hadoop
  • Hadoop Installation
  • Hadoop Configuration
  • Advantages of Hadoop

Big Data is a very massive technology designed to process, analyze, and extract information from large data sets. Big Data is much better when compared to traditional data processing software. Most organizations use Big Data Technology to analyze hidden insights of data to generate better solutions and allow organizations to make better decisions. 

Topics Covered in this module are:

  • Overview of Big Data
  • Different sources of Big Data
  • 3V’s of Big Data
  • How to process huge volumes of data
  • Characteristics of Big Data
  • Big Data Analytics
  • Real-time examples

Apache Hadoop is an open-source framework it is used to analyze and process a huge volume of data. Big Data Hadoop provides ways for enterprises to store much data by adding a number of servers to a Hadoop Cluster. Each server has the power to process the cluster and adds more storage space. This becomes a cost-effective method to store data with Hadoop than other data storage methods. Moreover, Hadoop Administration is used to put workloads of Big Data in the right system and also helps organizations to optimize data management structure. 

Topics Covered in this module are:

  • Overview of Hadoop
  • Overview of Big Data
  • Key characteristics of Big Data
  • Hadoop Ecosystem
  • Key components of Hadoop
  • Hadoop Distributed File System
  • MapReduce
  • What is YARN
  • Replications
  • Key features of HDFS

Hadoop Distributed File System is used to distribute huge amounts of data. In the Hadoop Distributed File System, the data is distributed over different machines and is also replicated in order to ensure the durability to failure and availability to different parallel applications. It is also named as commodity hardware and is cost-effective. Moreover, HDFS involves concepts of node names, blocks, and data nodes.

Topics Covered in this module are:

  • Overview of HDFS
  • Use of HDFS in Commodity Hardware, Very large Files, and in Streaming Data Access.
  • What is Data Node
  • What are Blocks
  • What is a Name Node
  • Read and Write image
  • Basic File Operations in HDFS
  • HDFS Commands

YARN is abbreviated as Yet Another Resource Manager, its main aim is to take programming to the next level i.e beyond Java Programming. It has the capability to develop a platform that is interactive and lets other applications like Spark, Hive, and HBase work on it. All the YARN Applications can co-exist on the same cluster and all of them can run at the same time. 

Topics Covered in this module are:

  • What is YARN
  • Key Components of YARN
  • Working of Resource Manager
  • Node Manager
  • MapReduce Application Master
  • Key benefits of YARN

In Big Data Hadoop, MapReduce is a data processing tool that is mainly used to process the data distributedly in parallel form. This tool is mainly used to simplify the data processing in large clusters. The MapReduce mainly consists of two phases and they are the mapper phase and the reducer phase. MapReduce tools can also be used in Machine learning to process the data. 

Topics Covered in this module are:

  • What is a MapReduce
  • Reducer Phase
  • Mapper Phase
  • Usage of MapReduce
  • Steps to be followed in MapReduce
  • Sort and Shuffle
  • Input and Output formats
  • Data Flow in MapReduce
  • MapReduce API
  • Map Function
  • Reduction Function
  • Partition Function
  • Phases in DataFlow

Apache HBase is an open-source distributed database that is written in Java and is based on Google’s Big Table. It is actually developed as a project of Apache Hadoop. It contains a set of tables that are mainly used to keep data in the key-value format only. It comes under the Hadoop Ecosystem and it provides access to data for the real-time read and writes in the Hadoop Distributed File System. 

Topics Covered in this module are:

  • Need for HBase
  • Key features of HBase
  • HBase Data Model
  • HBase Installation
  • HBase Read
  • HBase Write
  • HBase MemStore
  • HBase Commands
  • HBase real-time examples

Apache HBase is an open-source distributed database that is written in Java and is based on Google’s Big Table. It is actually developed as a project of Apache Hadoop. It contains a set of tables that are mainly used to keep data in the key-value format only. RDBMS is specially designed for relational databases. The relational database is defined as a database that stores data in the structured format i.e in rows and columns.

Topics Covered in this module are:

  • What is HBase
  • What is Relational Database Management Systems (RDBMS)
  • How to structure data in Database
  • Comparison between HBase and RDBMS
  • What is record
  • Traditional RDBMS tables
  • NoSQL Database Table

Apache Hive is one of the essential data warehouse software that is built on the top of the Apache Hadoop. The Apache Hive provides facility to read, write, and manage large datasets that are residing in Distributed storage systems using SQL. It offers tools to easily access the data via SQL. This Apache Hive is designed and developed by Facebook. Hive supports languages like User Defined Functions (UDF), Data Definition Language (DDL), and Data Manipulation Language (DML).

Topics Covered in this module are:

  • What is Hive
  • Hive Architecture
  • Installation of Hive
  • Key features of Hive
  • Hive vs Pig
  • Hive Data Types
  • How to create and drop database in Hive
  • How to create and Drop Table in Hive
  • Dynamic Partitioning
  • Static Partitioning
  • Limitations of Hive
  • Bucketing in Hive
  • Operators of HiveQL 
  • Functions in HiveQL
  • Group By and Having

Apache Hive is one of the essential data warehouse software that is built on the top of the Apache Hadoop. The Apache Hive provides facility to read, write, and manage large datasets that are residing in Distributed storage systems using SQL. It offers tools to easily access the data via SQL. This Apache Hive is designed and developed by Facebook. Hive supports languages like User Defined Functions (UDF), Data Definition Language (DDL), and Data Manipulation Language (DML). Using Hive you can write applications in various languages.

Topics Covered in this module are:

  • Hive Command Line Interface
  • Hive Metastore
  • Hive Server
  • Hive Compiler
  • Hive Driver
  • Hive Web User Interface
  • Hive Execution Engine

Apache Pig is one of the most prominently used high-level data flow platforms designed mainly for executing various programs of Hadoop MapReduce. The language used by Pig is the Pig Latin language. A Pig can handle any type of data it may be unstructured, semi-structured, structured. It stores all the corresponding results in the Hadoop Data Distributed File System. Any task performed by Pig can also be achieved by using Java in MapReduce. 

Topics Covered in this module are:

  • What is Apache Pig
  • Pig Installation
  • Key features of Apache Pig
  • Pig Latin Language
  • Apache MapReduce vs Pig
  • Pig Run Modes
  • Pig Latin Concepts
  • Pig Data Types
  • Pig real-time examples
  • Advantages of Pig

Pig Latin is a Data Flow Language that is used by Apache Pig. This language is mainly used to analyze the data in Hadoop. It is also considered as a textual language that is mainly used to abstract programming from MapReduce into a notation. The Pig Latin statements are used for data processing. 

Topics Covered in this module are:

  • Overview of Pig Latin Language
  • Pig Latin Conventions
  • Pig Latin Statements
  • Data Types
  • Complex types

Apache Sqoop is a tool that is specially designed to transfer data between Relational Database servers and Hadoop. Apache Sqoop command-line interface is also used to import data from relational databases such as MySQL and Oracle. It has the potential to support incremental loads of a single table. Now Sqoop is one of the top-level Apache projects.

Topics Covered in this module are:

  • What is a Sqoop
  • Working of Sqoop
  • Sqoop Options
  • Sqoop Installation
  • Sqoop Import and Export
  • Sqoop Where

Apache Sqoop is a tool that is specially designed to transfer data between Relational Database servers and Hadoop. Apache Sqoop command-line interface is also used to import data from relational databases such as MySQL and Oracle. It has the potential to support incremental loads of a single table. Now Sqoop is one of the top-level Apache projects.

Topics Covered in this module are:

  • Overview of Sqoop
  • Introduction to the Hadoop Ecosystem
  • How Sqoop properties are used to directly import data to HBase
  • Sqoop Integration with Hadoop Ecosystem.

Apache Spark is an open-source cluster computing framework and its primary goal is to handle the data that is generated in real-time. The Spark is built on the top of the Hadoop MapReduce and it processes the data quickly than others. It provides high-level APIs in different programming languages like R, Python, Java, Scala, etc. Moreover, Apache Spark is called a unified analytics engine for large-scale data processing.

Topics Covered in this module are:

  • What is Spark Computing Framework
  • History of Apache Spark
  • Key features of Apache Spark
  • Uses of Spark
  • Spark Installation

Apache Spark is an open-source cluster computing framework and its primary goal is to handle the data that is generated in real-time. The Spark is built on the top of the Hadoop MapReduce and it processes the data quickly than others. It provides high-level APIs in different programming languages like R, Python, Java, Scala, etc. Moreover, Apache Spark is called a unified analytics engine for large-scale data processing. Spark Architecture is named as a master-slave architecture and it depends on two abstractions and they are Directed Acyclic Graph and Resilient Distributed Dataset.

Topics Covered in this module are:

  • Overview of Spark Architecture
  • Directed Acyclic Graph (DAG)
  • Resilient Distributed Dataset (RDD)
  • Driver Program
  • Worker Node
  • Executor
  • Cluster Manager
  • Key components of Spark
  • Spark SQL

RDD in Spark is abbreviated as Resilient Distributed Dataset is the core abstraction that spark architecture depends on. It is defined as a collection of elements that are partitioned across different nodes of a cluster. There are mainly two ways to create Resilient Distributed Dataset and they are one is referencing a dataset in any of the external storage systems and the second one is by parallelizing the data present in the existing system in the driver program.

Topics Covered in this module are:

  • What is RDD
  • What are the different ways to create RDD
  • Parallelized Collections
  • External Datasets
  • RDD operations
  • RDD persistence
  • RDD transformations
  • RDD shared variables and broadcast variables
  • What is an accumulator?
  • Spark Map Function
  • Different functions in Spark
  • Spark Streaming
  • Spark Streaming Workflow
  • DStreams
  • Key features of Spark Streaming

Apache Spark is an open-source cluster computing framework and its primary goal is to handle the data that is generated in real-time. The Spark is built on the top of the Hadoop MapReduce and it processes the data quickly than others.  Spark is very useful in solving Machine Learning problems with ease. Spark Framework has the ability to solve Machine Learning problems at scale with MLib built-in library.

Topics Covered in this module are:

  • Introduction to Machine Learning
  • Overview of Spark 
  • Spark Iterative Algorithm
  • K-Means Clustering
  • Machine Learning Algorithms
  • Spark MLlib introduction
  • Linear Regression
  • Decision Tree
  • Logistic Regression
  • Spark variables
  • Spark Graph processing
  • Random Forest
  • Spark Variables

In this module, you will learn in detail about how to configure a cluster in Hadoop Administration. 

Topics Covered in this module are:

  • Introduction to Hadoop Configuration
  • MapReduce Parameters
  • How to configure a cluster
  • HDFS Parameters
  • Configuring files
  • Channel Configuration
  • Setting up the Hadoop Environment
  • Importance of cluster configuration
  • Data Node directory structures

In this module, you will gain expertise in Hadoop Administration concepts like Maintenance, Troubleshooting, and Monitoring.

Topics Covered in this module are:

  • File System Recovery
  • Data Backup 
  • Monitoring Hadoop Cluster
  • Troubleshooting
  • Scheduler and its configuration

ETL is the backbone of all the data warehousing tools. ETL is abbreviated as Extract, Load, Transform and it provides large volumes of data for analysis and reporting.

Topics Covered in this module are:

  • How ETL tools work in Hadoop and Big Data
  • Introduction to data warehousing
  • Data Integration tool
  • Data Warehouse Environments
  • Big Data Use Cases
Course Content is the key section in the entire training page because it is the only section in which learners find resources to gain in-depth knowledge of all the core concepts of a particular course. Hadoop Big Data Course Content is designed by industry experts to help you become an expert Big Data Hadoop Professional. Our Big Data Hadoop Course Curriculum is in line with the certification exam to help you clear the certification exam in your first submit itself.

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Big Data Hadoop Course Features

CourseJet offers the best Big Data Hadoop online training with advanced features. Our world-class features will provide zeal for the learners to enroll for top training courses.

Instructor-led Sessions

30 to 45 Hrs of Big Data Hadoop Online Live Instructor-Led Classes.

Expertise Faculties

Our Faculties are working Big Data Hadoop Professionals in MNC Companies.

Certification & Job Assistance

After Successful completion Big Data Hadoop course you will receive Globally Recognized CourseJet Certificate.

100% Job Oriented Training

Big Data Hadoop Live project based on any real time scenarios.

Lifetime Access

You get lifetime access which includes Big Data Hadoop class recordings and Materials.

Flexible Schedule

We will provide you Convenient Class Batches with lifetime access to our 24x7 online support team.

Big Data Hadoop Certification Training

Get the Globally Recognized Big Data Hadoop certification training from CourseJet under the guidance of Big Data Hadoop Experts. CourseJet teaches you all the Big Data Hadoop concepts with global standards.

certificate
Certification is having more value in the IT world and the demand for certified professionals is also growing these days. By qualifying the Big Data Certification exam you become a valued professional or freshers in the current market trend. Big Data Hadoop Certification is the most valued certification in today’s IT world. 
  • We at CourseJet not only committed to providing you with the full-fledged Big Data Hadoop training but also decided to help learners gain comprehensive knowledge of all the core concepts of Big Data Hadoop to clear Big Data Hadoop certification exams. 
  • We do take the utmost care to design the course curriculum to cover all the Big Data Hadoop Certification concepts.
  • Certification acts as a proof for your advanced Big Data Hadoop skills and helps you secure your dream job.
  • At CourseJet our Big data hadoop industry-expert professional trainers will provide you full assistance to clear multiple Big Data Hadoop certification exams. 
  • Upon successful completion of this Big Data Hadoop Certification course, you will receive course completion certification from CourseJet.
  • This certification shows your expertise, the amount of time, and the efforts you put in mastering this Big Data Hadoop domain.
  • As a professional acquiring all the Big Data Hadoop certifications would benefit you to grow a career.

CourseJet follows the learning path certification process. To get the globally recognized CourseJet Big Data Hadoop Course Certification, you must fulfill the below mentioned following criteria:

  1. Successful completion of all the course modules presented in the Big Data Hadoop course curriculum.
  2. Successful completion of all the tasks and projects which were assigned by the trainer.
  3. Scoring the minimum 60 percentage of marks in the quiz examination conducted by CourseJet.

Above mentioned criteria are evaluated by our Big Data Hadoop trainers. If you didn’t meet our criteria, No worries our trainers will coach you to achieve it.

CourseJet’s Big Data Hadoop certification is recognized in the top 100+ MNCs like TCS, Ericsson, Cisco, Cognizant, Hexaware, HP, Standard Chartered, etc. Our Students are already got the job in MNCs with CourseJet Certification. 

In this Big Data Hadoop Training, you will gain expertise in all the course concepts of the Hadoop Big Data course by working on real-time assignments, use cases, and projects. Our Hadoop Big Data online training will help you advance your career as a Big Data Hadoop professional. Our Big Data Hadoop Course Curriculum is in line with the Hadoop Developer Certification (CCA175) to help you clear the certification exam with ease. Furthermore, you receive a course completion certificate from CourseJet after your successful completion of Hadoop Big Data Training. CourseJet Certification is recognized globally in many organizations all over the world.

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Big Data Hadoop Projects

CourseJet not only provides you with the best Big Data Hadoop training but also makes you work with real-world projects and case studies to help you gain practical knowledge.

  • Practical knowledge is very important to understand how things actually work. To put your all learning into action, you will be required to work on two industry-based live projects that will discuss the real-time use cases.
  • CourseJet Big Data Hadoop Training will help you gain in-depth knowledge of all the essential concepts of Big Data Hadoop through real-world examples and hands-on projects.
  • We make each and every individual work on Big Data Hadoop real-time projects to face challenges during the learning period so it will be very helpful to solve problems arising in organization while in the job. 
  • Working with real-time projects will make more efficient and you will get more doubts. This type of working procedure will help you achieve a lot more things in your career.

Domain: Internet

Project Description: In this project, you will learn how to supply data for retrieval using Spark SQL. You will get familiar with the Spark SQL Syntax that is required for processing data. Moreover, you will also gain expertise in Spark SQL and how it provides structured data to any dataset. 

What Skills will you learn:

  • Gain insights on Spark SQL
  • Performance Tuning 
  • Queries Benchmarking in Impala, Hive, etc.

Domain: Entertainment

Project Description: In this project, you will learn how to work with the data collected through MovieLens. You will be writing MapReduce programs to analyze the data present in the MovieLens to create a list of top movies. 

What Skills will you learn:

  • MapReduce Programming
  • Apache Hadoop basics
  • Apache Hive
  • Apache Pig

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Complete real-time projects, to showcase your skills to employers.

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Big Data Hadoop Trainer Profile

You will learn the Big Data Hadoop essentials from the expert’s trainers who hold 10+ years of real-time experience in handling diversified projects.

10+ Years Experienced

Our Big Data Hadoop Trainers are more than 10+ Years of experience.

Working in Top MNCs

Our Big Data Hadoop Trainers are Working in a top MNC company around the globe.

Trained 2000+ Students

Our Big Data Hadoop Trainers are Trained more than 2000+ Students in Big Data Hadoop Courses.

Certified Professionals

Our Big Data Hadoop Trainers certified Big Data Hadoop Professionals with Strong Practical Knowledge.

Certification Guidance

Our Big Data Hadoop Trainers will help you in getting International Certification if available.

Completed 700+ Batches

In CourseJet, we already finished many batches successfully with certifications.

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Enroll now and get a free consultation with the trainer.

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Big Data Hadoop Training Reviews

Our Best Big Data Hadoop Teaching methodology has acquired millions of students around the globe and they shared their success stories in the form of reviews.

✎ 2731
Total Reviews
✪ 4.9
Review score
✉ 99%
Course Completions
I enrolled for the Big Data Hadoop Course in CourseJet, the support system is very effective in scheduling sessions without fail and related server issues. The trainer is highly talented in implementing projects through proper explanation.
Darpan
DarpanData Engineer
CourseJet’s Hadoop Big Data Training was extensive. It was well planned and perfectly executed. The trainer as well versed with the technology and the Hadoop certification course assignments given were of a good mixture.
Ahana
AhanaBig Data Architect.
CourseJet is one of the best places to learn the Hadoop Big Data online training course at an affordable price with the best Big Data Hadoop course content. Trainers are highly experienced and certified professionals and experts in implementing real-time Big Data Hadoop projects.
Gopal
GopalHadoop Tester
It was an outstanding experience with CourseJet. I have learned the Big Data Hadoop Certification Course at CourseJet. Faculty members are very knowledgeable and cooperative. They focused upon practical rather than theory. My Trainer took classes very well, and he has covered all the topics from basic to advanced. They have cleared all the doubts as they run their support services 24*7.
Bina
BinaFresher
I completed the Big Data Hadoop training at CourseJet. The Hadoop Big Data training is well explained and implemented by a trainer, thank you CourseJet for scheduling sessions regularly without fail. The trainer will help you in implementing projects by explaining every topic clearly.
Jai
JaiHadoop Tester
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Big Data Hadoop Jobs & Placements

CourseJet has tie-up with small, medium, and large scale corporations across the world. We provide you with the complete placement assistance by forwarding your resume to the companies we tie-up with.

Yes, CourseJet is having a separate team for placement assistance from the beginning of the Big Data Hadoop course.

  • Our Big Data Hadoop Trainer will help you to build a proper resume for applying for jobs.
  • Our Big Data Hadoop Trainers will provide top Big Data Hadoop Interview Questions and necessary software installation guides.
  • We have a separate job portal, it will give a lifetime Big Data Hadoop related jobs notifications for free.
  • Our Big Data Hadoop trainers are working in MNCs, they will refer you to their company’s internal jobs.
  • Our CourseJet Alumni groups also providing many referring jobs to you.
  • We will work hard to provide you the job placements. 
  • Yes, CourseJet will provide you 100% Job Assistance. 
  • CourseJet has already trained more than 3500+ students on the Big Data Hadoop course.
  • We have a 90% percent placement record and 1000+ Big Data Hadoop Job Interview Organized in Last Year.

According to the survey like Glassdoor and PayScale’s latest reports shows that Big Data Hadoop Certified Professionals are earning an average of $112,000/ – Per year in the United States. It will be based on countries, Total Year of Experience, Performances and more. Our Big Data Hadoop Training leads you to get more salary than the average salary as mentioned above.

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FAQ of Big Data Hadoop Training

CourseJet FAQs are designed to clear most of your doubts and also help you build power in yourself to get clarified with the rest of doubts related to that course.

Yes, We offering group discounts when you join as more than three people 10% to 30% Price discount will be provided. We also have a referral discount for those who have already enrolled in our training. Terms and conditions apply.

Yes, we will share sample recordings of this course which was recorded during the live class. It will give you a good idea about the classes and the training sessions. 

You need not worry if you miss a class because CourseJet provides live recordings of the sessions so that you can go through them just before you attend the next session. If it is one to one training classes then will be rescheduled at your convenience. 

CourseJet is the Best Online Training platform, it provides high-class services for the learners. CourseJet provides Job Assistance for the learners and also helps them in getting placed in top MNCs around the world. CourseJet offers 24/7 support, best course material, and videos.

The different modes of training offered by CourseJet are as follows:

  • Instructor-led training
  • Corporate training
  • Self-paced training

Upon successful completion of this training, you will receive Course Completion Certification from CourseJet. It is a Globally Recognized Certification in top MNCs across the world. CourseJet certification is also recommended by top experts.

Yes, CourseJet provides 100% job assistance for the learners to help them get placed in top MNCs. Our trainers will help to create perfect resumes, will share the top interview questions, tutorials and necessary software installation guides.

CourseJet Job assistance program will train you to achieve your dream job by referring your resume to tied up companies and also assisting with preparing your resumes and providing important interview questions. We will help you in the all dimension between you and recruiters companies and the final selection decisions is always depends on the recruiter by the candidate’s performance in the interview. 

Yes, it is possible by paying some extra charges and can continue learning the course from the next batch.

The system requirements required to attend this training are:

  • An operating system such as Mac OS, Windows, Linux.
  • 4 GB RAM
  • Dual-core CPU

We are Experts in corporate training by Upgrading your team member’s skills. So, please get in touch with our team through fillup the corporate training Form or contact us via our Mail Id or Phone. 

Payments can be made using any of the following options like Debit Card / Credit Card, American Express, Master Card, or PayPal and a receipt of the same will be issued to you automatically via email. 

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CourseJet provides training for a large number of courses. We have more than 250+ courses on our website and also provide assistance for the participants in suggesting the best training course.

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