Course description

  • Why learn Big Data Hadoop with certification?

    The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations. Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. Close to 80% of data scientists say there is currently a shortage of professionals working in the field.

  • Why should you take our Big Data and Hadoop course?

    The Big Data Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.

    You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.

    As a part of the Big Data course, you will be required to execute real-life, industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce.  This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification.

  • What skills will you learn in this Big Data Hadoop training?

    Big Data Hadoop training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. You will learn to:

    • Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
    • Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
    • Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
    • Ingest data using Sqoop and Flume
    • Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
    • Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
    • Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
    • Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
    • Gain a working knowledge of Pig and its components
    • Do functional programming in Spark, and implement and build Spark applications
    • Understand resilient distribution datasets (RDD) in detail
    • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
    • Understand the common use cases of Spark and various interactive algorithms
    • Learn Spark SQL, creating, transforming, and querying data frames
    • Prepare for Cloudera CCA175 Big Data certification

  • Who should take this Big Data Hadoop training course?

    Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:

    • Software Developers and Architects
    • Analytics Professionals
    • Senior IT professionals
    • Testing and Mainframe Professionals
    • Data Management Professionals
    • Business Intelligence Professionals
    • Project Managers
    • Aspiring Data Scientists
    • Graduates looking to build a career in Big Data Analytics

  • What projects are included in this Big Data Hadoop online training course?

    The Hadoop Training course includes five real-life, industry-based projects. Successful evaluation of one of the following two projects is a part of the certification eligibility criteria.

    Project 1
    Domain- Banking

    Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.

    Project 2
    Domain- Telecommunication

    Description: A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset have a latitude and longitude of users, which is important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of users with a k-means algorithm.

    For additional practice, we have three more projects to help you start your Hadoop and Spark journey.

    Project 3
    Domain- Social Media

    Description: As part of a recruiting exercise, a major social media company asked candidates to analyze a dataset from Stack Exchange. You will be using the dataset to arrive at certain key insights.

    Project 4
    Domain- Website providing movie-related information

    Description: IMDB is an online database of movie-related information. IMDB users rate movies on a scale of 1 to 5, 1 being the worst and 5 being the best, and provide reviews. The dataset also has additional information, such as the release year of the movie. You are tasked to analyze the data collected.

    Project 5
    Domain- Insurance

    Description: A US-based insurance provider has decided to launch a new medical insurance program targeting various customers. To help a customer understand the market better, you must perform a series of data analyses using Hadoop.

  • How will Big Data training help your career?

    The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities. Some trends in big data include: 

    Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research
    Shortage of 1.4 -1.9 million Hadoop Data Analysts in the US alone by 2018– McKinsey
    Hadoop Administrators in the US receive salaries of up to $123,000 – indeed.com

  • What types of jobs require Big Data Hadoop trained professionals?

    The jobs that require Big Data Hadoop trained professionals include:

    • IT professionals
    • Data scientists
    • Data engineers
    • Data analysts
    • Project managers
    • Program managers

Course preview

    • Lesson 00 - Course Introduction

      04:10
      • 001 Introduction
        04:10
    • Lesson 01 - Introduction to Big data and Hadoop Ecosystem

      15:43
      • 1.001 Introduction to Big data and Hadoop Ecosystem
        00:38
      • 1.002 Overview to Big Data and Hadoop
        05:13
      • 1.3 Pop Quiz
      • 1.004 Hadoop Ecosystem
        08:57
      • 1.5 Quiz
      • 1.006 Key Takeaway
        00:55
    • Lesson 02 - HDFS and YARN

      47:08
      • 2.001 Introduction
        06:10
      • 2.002 HDFS Architecture and Components
        08:59
      • 2.3 Pop Quiz
      • 2.004 Block Replication Architecture
        09:53
      • 2.005 YARN Introduction
        21:25
      • 2.6 Quiz
      • 2.007 Key Takeaway
        00:41
      • 2.8 Hands-on Exercise
    • Lesson 03 - MapReduce and Sqoop

      57:01
      • 3.001 Introduction
        00:41
      • 3.002 Why Mapreduce
        11:58
      • 3.003 Small Data and Big Data
        15:53
      • 3.4 Pop Quiz
      • 3.005 Data Types in Hadoop
        04:23
      • 3.006 Joins in MapReduce
        04:43
      • 3.007 What is Sqoop
        18:21
      • 3.8 Quiz
      • 3.009 Key Takeaways
        01:02
      • 3.10 Hands-on Exercise
    • Lesson 04 - Basics of Hive and Impala

      19:00
      • 4.001 Introduction
        04:07
      • 4.2 Pop Quiz
      • 4.003 Interacting with Hive and Impala
        14:07
      • 4.4 Quiz
      • 4.005 Key Takeaways
        00:46
    • Lesson 05 - Working with Hive and Impala

      28:36
      • 5.001 Working with Hive and Impala
        07:08
      • 5.2 Pop Quiz
      • 5.003 Data Types in Hive
        07:47
      • 5.004 Validation of Data
        07:47
      • 5.005 What is Hcatalog and Its Uses
        05:25
      • 5.6 Quiz
      • 5.007 Key Takeaway
        00:29
      • 5.8 Hands-on Exercise
    • Lesson 06 - Types of Data Formats

      14:35
      • 6.001 Introduction
        00:44
      • 6.002 Types of File Format
        02:35
      • 6.3 Pop Quiz
      • 6.004 Data Serialization
        03:11
      • 6.005 Importing MySql and Creating hivetb
        04:32
      • 6.006 Parquet With Sqoop
        02:37
      • 6.7 Quiz
      • 6.008 Key Takeaways
        00:56
      • 6.9 Hands-on Exercise
    • Lesson 07 - Advanced Hive Concept and Data File Partitioning

      17:00
      • 7.001 Introduction
        07:41
      • 7.2 Pop Quiz
      • 7.003 Overview of the Hive Query Language
        08:18
      • 7.4 Quiz
      • 7.005 Key Takeaways
        01:01
      • 7.6 Hands-on Exercise
    • Lesson 08 - Apache Flume and HBase

      28:06
      • 8.001 Introduction
        12:29
      • 8.2 Pop Quiz
      • 8.003 Introduction to HBase
        14:40
      • 8.4 Quiz
      • 8.005 Key Takeaways
        00:57
      • 8.6 Hands-on Exercise
    • Lesson 09 - Pig

      18:08
      • 9.001 Introduction
        10:45
      • 9.2 Pop Quiz
      • 9.003 Getting Datasets for Pig Development
        06:45
      • 9.4 Quiz
      • 9.005 Key Takeaway
        00:38
      • 9.6 Hands-on Exercise
    • Lesson 10 - Basics of Apache Spark

      39:54
      • 10.001 Basics of Apache Spark
        16:04
      • 10.002 Spark - Architecture, Execution, and Related Concepts
        07:10
      • 10.3 Pop Quiz
      • 10.004 RDD Operations
        10:39
      • 10.005 Functional Programming in Spark
        05:34
      • 10.6 Quiz
      • 10.007 Key Takeaways
        00:27
      • 10.8 Hands-on Exercise
    • Lesson 11 - RDDs in Spark

      16:09
      • 11.001 Introduction
        00:46
      • 11.002 RDD Data Types and RDD Creation
        10:14
      • 11.3 Pop Quiz
      • 11.004 Operations in RDDs
        04:35
      • 11.5 Quiz
      • 11.006 Key Takeaway
        00:34
      • 11.7 Hands-on Exercise
    • Lesson 12 - Implementation of Spark Applications

      13:55
      • 12.001 Introduction
        03:57
      • 12.002 Running Spark on YARN
        01:27
      • 12.3 Pop Quiz
      • 12.004 Running a Spark Application
        01:47
      • 12.005 Dynamic Resource Allocation
        01:06
      • 12.006 Configuring Your Spark Application
        04:24
      • 12.7 Quiz
      • 12.008 Key Takeaways
        01:14
    • Lesson 13 - Spark Parallel Processing

      08:40
      • 13.001 Introduction
        05:41
      • 13.2 Pop Quiz
      • 13.003 Parallel Operations on Partitions
        02:28
      • 13.4 Quiz
      • 13.005 Key Takeaways
        00:31
      • 13.6 Hands-on Exercise
    • Lesson 14 - Spark RDD Optimization Techniques

      14:23
      • 14.001 Introduction
        04:40
      • 14.2 Pop Quiz
      • 14.003 RDD Persistence
        08:59
      • 14.4 Quiz
      • 14.005 Key Takeaways
        00:44
      • 14.6 Hands-on Exercise
    • Lesson 15 - Spark Algorithm

      27:09
      • 15.001 Introduction
        00:49
      • 15.002 Spark An Iterative Algorithm
        03:13
      • 15.003 Introduction To Graph Parallel System
        02:34
      • 15.4 Pop Quiz
      • 15.005 Introduction To Machine Learning
        10:27
      • 15.006 Introduction To Three Cs
        08:07
      • 15.7 Quiz
      • 15.008 Key Takeaways
        01:59
    • What’s next?

      05:28
      • The Next Step
        05:28
    • Lesson 16 - Spark SQL

      13:21
      • 16.001 introduction
        06:36
      • 16.2 Pop Quiz
      • 16.003 Interoperating with RDDs
        06:08
      • 16.4 Quiz
      • 16.005 Key Takeaways
        00:37
      • 16.6 Hands-on Exercise
    • Projects

      • Project For Submission
      • Projects with solutions
    • Course Feedback

      • Course Feedback
    • Lesson 01 - Java Introduction

      1:18:27
      • 1.1 Introduction to Java
        25:37
      • 1.2 Features of Java8
        11:41
      • 1.3 Object Oriented Programming (OOP)
        23:00
      • 1.4 Fundamentals of Java
        18:09
      • Quiz
    • Lesson 02 - Working with Java Variables

      36:00
      • 2.1 Declaring and Initializing Variables
        11:47
      • 2.2 Primitive Data Types
        06:50
      • 2.3 Read and Write Java Object Fields
        10:27
      • 2.4 Object Lifecycle
        06:56
      • Quiz
    • Lesson 03 - Java Operators and Decision Constructs

      15:01
      • 3.1 Java Operators and Decision Constructs
        15:01
      • Quiz
    • Lesson 04 - Using Loop Constructs in Java

      17:42
      • 4.1 Using Loop Constructs in Java
        17:42
      • Quiz
    • Lesson 05 - Creating and Using Array

      36:16
      • 5.1 Creating and Using One-dimensional Array
        26:53
      • 5.2 Creating and Using Multi-dimensional Array
        09:23
      • Quiz
    • Lesson 06 - Methods and Encapsulation

      35:55
      • 6.1 Java Method
        04:36
      • 6.2 Static and Final Keyword
        15:16
      • 6.3 Constructors and Access Modifiers in Java
        07:04
      • 6.4 Encapsulation
        08:59
      • Quiz
    • Lesson 07 - Inheritance

      40:32
      • 7.1 Polymorphism Casting and Super
        23:46
      • 7.2 Abstract Class and Interfaces
        16:46
      • Quiz
    • Lesson 08 - Exception Handling

      36:17
      • 8.1 Types of Exceptions and Try-catch Statement
        18:48
      • 8.2 Throws Statement and Finally Block
        11:27
      • 8.3 Exception Classes
        06:02
      • Quiz
    • Lesson 09 - Work with Selected classes from the Java API

      1:01:06
      • 9.1 String
        28:16
      • 9.2 Working with StringBuffer
        05:44
      • 9.3 Create and Manipulate Calendar Data
        13:03
      • 9.4 Declare and Use of Arraylist
        14:03
      • Quiz
    • Lesson 10 - Additional Topics

      45:03
      • 10.1 Inner classes Inner Interfaces and Thread
        16:51
      • 10.2 Collection Framework
        05:05
      • 10.3 Comparable Comparator and Iterator
        10:19
      • 10.4 File Handling and Serialization
        12:48
      • Quiz
    • Lesson 11 - JDBC

      47:54
      • 11.1 JDBC and its Architecture
        08:50
      • 11.2 Drivers in JDBC
        03:09
      • 11.3 JDBC API and Examples
        24:44
      • 11.4 Transaction Management in JDBC
        11:11
      • Quiz
    • Lesson 12 - Miscellaneous and Unit Testing

      19:24
      • 12.1 Unit Testing
        19:24
      • Quiz
    • Lesson 13 - Introduction to Java 8

      18:53
      • 13.1 Introduction to Java 8
        18:53
      • Quiz
    • Lesson 14 - Lambda Expression

      14:39
      • 14.1 Lambda Expression
        14:39
      • Quiz
    • Lesson 1 About This Course

      • Learning Objectives
    • Lesson 2- Introduction to Apache Kafka

      22:50
      • Learning Objectives
      • Introduction to Apache Kafka - Part A
        05:12
      • Introduction to Apache Kafka - Part B
        05:55
      • Introduction to Apache Kafka - Part C
        07:13
      • Hands-on Lab 1 Documentation
      • Introduction to Apache Kafka - Lab Solution
        04:30
    • Lesson 3- Kafka Command Line

      22:33
      • Learning Objectives
      • Kafka Command Line - Part A
        05:04
      • Kafka Command Line - Part B
        06:19
      • Hands-on Lab 2 Documentation
      • Kafka Command Line - Lab Solution
        11:10
    • Lesson 4- Kafka Producer Java API

      19:50
      • Learning Objectives
      • Kafka Producer Java API - Part A
        06:18
      • Kafka Producer Java API - Part B
        06:16
      • Hands-on Lab 3 Documentation
      • Kafka Producer Java API - Lab Solution
        07:16
    • Lesson 5- Kafka Consumer Java API

      26:17
      • Learning Objectives
      • Kafka Consumer Java API - Part A
        06:59
      • Kafka Consumer Java API - Part B
        06:59
      • Hands-on Lab 4 Documentation
      • Kafka Consumer Java API - Lab Solution
        12:19
    • Lesson 6- Kafka Connect and Spark Streaming

      27:44
      • Learning Objectives
      • Kafka Connect and Spark Streaming - Part A
        07:31
      • Kafka Connect and Spark Streaming - Part B
        06:59
      • Hands-on Lab 5 Documentation
      • Hands-on Lab 5 Solutions
        13:14
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Exam & certification FREE PRACTICE TEST

  • What do I need to do to unlock my Simplilearn certificate?

    Online Classroom:

    • Attend one complete batch
    • Complete one project and one simulation test with a minimum score of 80%

    Online Self-Learning:

    • Complete 85% of the course
    • Complete one project and one simulation test with a minimum score of 80%

  • What are the prerequisites for this Hadoop Training course?

    There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial. If you wish to brush up your Core Java skills, Simplilearn offers a complementary self-paced course "Java essentials for Hadoop" when you enroll for this course. For Spark, this course uses Python and Scala, and an e-book is provided to support your learning.

  • How do I become a Big Data Hadoop Architect?

    Those who are proficient in core Java and SQL technologies can take the Big Data Hadoop certification course offered by Simplilearn to become a Big Data Hadoop Architect.

  • Who provides the certification?

    Upon successful completion of the Big Data Hadoop certification training, you will be awarded the course completion certificate from Simplilearn.

  • Is this course accredited?

    No, this course is not officially accredited.

  • How do I pass the Big Data Hadoop exam?

    • Online Classroom: attend one complete batch and complete one project and one simulation test with a minimum score of 80%
    • Online Self-learning: complete 85% of the course and complete one project and one simulation test with a minimum score of 80%

  • How long does it to take to complete the Big Data Hadoop certification course exam?

    It will take about 45-50 hours to complete the Big Data Hadoop course certification successfully.

  • How many attempts do I have to pass the Big Data Hadoop certification course exam?

    While Simplilearn provides guidance and support to help learners pass the exam in the first attempt, if you do fail, you have a maximum of three retakes to successfully pass. 

  • How long does it take to receive the Big Data Hadoop certification course exam?

    Upon completion of the Big Data Hadoop course, you will receive the Big Data Hadoop certificate immediately.

  • How long is the Big Data Hadoop course certificate from Simplilearn valid for?

    The Big Data Hadoop course certification from Simplilearn has lifelong validity.

  • If I fail the Big Data Hadoop certification course exam, how soon can I retake it?

    You can retake it immediately.

  • If I pass the Big Data Hadoop certification course exam, when and how do I receive my certificate?

    Upon successful completion of the course, you will receive the certificate through our Learning Management System which you can download or share via email or Linkedin.

  • Do you offer a money back guarantee for the training course?

    Yes. We do offer a money back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

Course advisor

Ronald van Loon
Ronald van Loon Top 10 Big Data and Data Science Influencer, Director - Advertisement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

Reviews

Solomon Larbi Opoku
Solomon Larbi Opoku Senior Desktop Support Technician, Washington

Content looks comprehensive and meets industry and market demand. The combination of theory and practical training is amazing.

Navin Ranjan
Navin Ranjan Assistant Consultant, Gaithersburg

Faculty is very good and explains all the things very clearly. Big data is totally new to me so I am not able to understand a few things but after listening to recordings I get most of the things.

Read more Read less
Joan Schnyder
Joan Schnyder Business, Systems Technical Analyst and Data Scientist, New York City

The pace is perfect! Also, trainer is doing a great job of answering pertinent questions and not unrelated or advanced questions.

Malek ِAl Haddad
Malek ِAl Haddad Founder and General Manager at DST International DMCC, Houston

Simplilearn is an excellent online platform for online trainings with flexible hours of training and well-planned course content with great depth and case studies. The most interesting part which differentiates Simplilearn from other online vendors is the quality of the customer service - 24 / 7. I would strongly recommend Simplilearn to all who are looking for a change in career. Enroll for the courses and get the experience to become a professional.

Read more Read less
Ludovick Jacob
Ludovick Jacob Manager of Enterprise Database Engineering & Support at USAC, Washington

I really like the content of the course and the way trainer relates it with real-life examples.

Puviarasan Sivanantham
Puviarasan Sivanantham Data Engineer at Fanatics, Inc., Sunnyvale

Dedication of the trainer towards answering each & every question of the trainees makes us feel great and the online session as real as a classroom session.

Read more Read less
Richard Kershner
Richard Kershner Software Developer, Colorado Springs

The trainer was knowledgeable and patient in explaining things. Many things were significantly easier to grasp with a live interactive instructor. I also like that he went out of his way to send additional information and solutions after the class via email.

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Aaron Whigham
Aaron Whigham Business Analyst at CNA Surety, Chicago

Very knowledgeable trainer, appreciate the time slot as well… Loved everything so far. I am very excited…

Rudolf Schier
Rudolf Schier Java Software Engineer at DAT Solutions, Portland

Great approach for the core understanding of Hadoop. Concepts are repeated from different points of view, responding to audience. At the end of the class you understand it.

Read more Read less
Kinshuk Srivastava
Kinshuk Srivastava Data Scientist at Walmart, Little Rock

The course is very informative and interactive and that is the best part of this training.

Priyanka Garg
Priyanka Garg Sr. Consultant, Detroit

Very informative and active sessions. Trainer is easy going and very interactive.

Peter Dao
Peter Dao Senior Technical Analyst at Sutter Health, Sacramento

The content is well designed and the instructor was excellent.

Anil Prakash Singh
Anil Prakash Singh Project Manager/Senior Business Analyst @ Tata Consultancy Services, Honolulu

The trainer really went the extra mile to help me work along. Thanks

Dipto Mukherjee
Dipto Mukherjee Etl Lead at Syntel, Phoenix

Excellent learning experience. The training was superb! Thanks Simplilearn for arranging such wonderful sessions.

Amit Mutreja
Amit Mutreja Project Manager, Houston

This course has provided me both theoretical and practical knowledge.

    FAQs

    • What are the System Requirements?

      The tools you’ll need to attend training are:
      • Windows: Windows XP SP3 or higher
      • Mac: OSX 10.6 or higher
      • Internet speed: Preferably 512 Kbps or higher
      • Headset, speakers, and microphone: You’ll need headphones or speakers to hear instructions clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and microphone.

    • What are the modes of training offered for this course?

      We offer this training in the following modes:

      We offer this training in the following modes:

      • Live Virtual Classroom or Online Classroom: Attend the course remotely from your desktop via video conferencing to increase productivity and reduce the time spent away from work or home.
      • Online Self-Learning: In this mode, you will access the video training and go through the course at your own convenience.

       

    • Can I cancel my enrolment? Do I get a refund?

      Yes, you can cancel your enrolment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

    • Are there any group discounts for classroom training programs?

      Yes, we have group discount options for our training programs. Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide more details.

    • What payment options are available?

      Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.
      • Visa Credit or Debit Card
      • MasterCard
      • American Express
      • Diner’s Club
      • PayPal

    • I’d like to learn more about this training program. Whom should I contact?

      Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

    • Who are our faculties and how are they selected?

      All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience in Big Data Hadoop. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating continue to train for us.

    • What is Global Teaching Assistance?

      Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours for this Big Data Hadoop training course.

    • What is covered under the 24/7 Support promise?

      We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us to discuss Big Data and Hadoop topics.

    • If I am not from a Programming Background but have a basic knowledge of Programming, can I still learn Hadoop?

      Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.

    • Can I switch from Self-Paced Training To Online Instructor-Led Training?

      Yes, if you would want to upgrade from the self-paced training to instructor-led training then you can easily do so by paying the difference of the fees amount and joining the next batch of classes which shall be separately notified to you.

    • What if I miss a class?

      • Simplilearn has Flexi-pass that lets you attend classes to blend in with your busy schedule and gives you an advantage of being trained by world-class faculty with decades of industry experience combining the best of online classroom training and self-paced learning
      • With Flexi-pass, Simplilearn gives you access to as many as 15 sessions for 90 days

    • What are the other top Big Data Certification Courses Simplilearn is offering?

      Keeping up with the Big Data & Analytics boom, Simplilearn has tailored very comprehensive Big Data certification programs which ensures a complete development as a Big Data professional.

      Few of the courses offered around Big Data are:

      In addition to the above, Simpliearn has created Big Data Hadoop Architect Masters Program on Big Data which follows a curated learning path.

      Simplilearn also offers the following Masters program with respect to Data Science and Business Intelligence:

    • What is online classroom training?

      Online classroom training for Big Data Hadoop course certification is conducted via online live streaming of each class. The classes are conducted by a Big Data Hadoop certified trainer with more than 15 years of work and training experience.

    • Is this live training, or will I watch pre-recorded videos?

      If you enroll for self-paced e-learning, you will have access to pre-recorded videos. If you enroll for the online classroom Flexi Pass, you will have access to live training conducted online as well as the pre-recorded videos.

    • Are the training and course material effective in preparing me for the Big Data Hadoop certification exam?

      Yes, Simplilearn’s training and course materials guarantee success in passing the Big Data Hadoop certification exam.

    • What certification will I receive after completing the training?

      After successful completion of the Big Data Hadoop course training, you will be awarded the course completion certificate from Simplilearn.

    • Disclaimer
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.