Course description

  • What are the Benefits of Big Data Hadoop Certification?

    It is inevitable how Big Data is influencing the digitally growing world. Data Analytics and Big Data will continue to have a significant presence in this technology space. Many professionals are now willing to build their career in this promising field of Analytics and Big Data. Data Scientists are capable of earning an average salary of $116,000. Even non-experienced professionals in this field are likely to get higher packages with an average of about $92,000. There is an increasing trend of companies adopting Big Data and Analytics which leads to growing demand for skilled data scientists. The current shortage of qualified professionals in this field is expected to be 80%.

    hadoop training

  • What are the objectives of this course?

     

    The Big Data Certification course in Mumbai aims to provide deep insights into the Big Data framework using Spark and Hadoop, including YARN, HDFS, and MapReduce. It also helps to learn the following:

    • Use Hive, Pig, and Impala to process and analyze large datasets stored in the HDFS

    • real-time data processing using Spark

    • Use Sqoop and Flume for data ingestion

    • Functional programming in Spark

    • Understanding parallel processing in Spark

    • Implementing Spark applications

    • Using Spark RDD optimization techniques

    • Use Spark SQL for creating, transforming, and querying data forms

    • Various interactive algorithms in Spark

    Simplilearn’s Big Data Hadoop training course is also ideal for the preparation of the (CCA175) Cloudera big data certification. It also includes real-world, industry-oriented projects to be executed in CloudLab in areas such as telecommunication, insurance, banking, e-commerce, and social media.

  • What will you learn in this Big Data Hadoop Training?

    You can learn the basic concepts of the Hadoop framework and how to deploy it in a cluster environment with the Big Data Hadoop training in Mumbai. You can further develop the following skills:

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

  • Who should take this Big Data Hadoop Training in Mumbai?

    With growing job opportunities in the field of Big Data, companies consider Hadoop as a must-know technology for Big data architecture. This course on Big Data is perfect for analytics, data management, and IT professionals including:

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

  • What Projects are included in this Big Data Hadoop Certification Training Course?

     

    The Hadoop training course in Mumbai consists of five hands-on industry-oriented projects that can be executed on CloudLab. Candidates need to work on one of the two projects and get it successfully evaluated to become certified.

    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 has 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.

    To commence your journey in Hadoop and Spark, Simplilearn offers three more projects for enhanced practice.

    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 I execute projects during this course?

     

    To work on the projects, you can use Simplilearn’s CloudLab throughout the course duration.

  • What is CloudLab?

    The Hadoop Training course includes some hands-on projects that require Hadoop and Spark environment. Simplilearn provides this cloud-based pre-configured environment through CloudLab. Candidates do not need to install and maintain Spark or Hadoop on a virtual machine. The environment is designed similar to that used by the companies at present to optimize Hadoop installation availability and scalability.

    CloudLab can be accessed via Simplilearn’s Learning Management System throughout the course duration. We also provide a video on how CloudLab is used.

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 57:00
      • 3.001 Introduction 00:41
      • 3.002 Why Mapreduce 11:57
      • 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- APACHE KAFKA ARCHITECTURE 14:43
      • video1 1 02:24
      • video1 2 02:37
      • video1 3 04:39
      • video1 4 02:56
      • video1 5 02:07
    • Lesson 02- PRODUCERS AND CONSUMERS 38:07
      • video2 1 04:55
      • video2 2 08:02
      • video2 3 02:52
      • video2 4 06:24
      • video2 5 07:41
      • video2 6 08:13
    • Lesson 03- ADVANCED KAFKA - UNDERSTANDING INTERNALS 09:07
      • video3 1 02:44
      • video3 2 01:50
      • video3 3 02:00
      • video3 4 01:41
      • video3 5 00:52
    • 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
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Exam & certification FREE PRACTICE TEST

  • How will you get Simplilearn's Big Data Course Completion Certificate?

    Simplilearn’s Big Data Course Completion Certificate is acknowledged worldwide, and candidates should fulfill the mentioned conditions to achieve it:

    For Online Self-learning:

    • Candidates need to finish 85% of the course.
    • Submit one project
    • Achieve at least 80% in the simulation test.

    For Online Classroom:

    • Attend one entire batch of Big Data training.
    • Submit one project

    Achieve at least 80% in the simulation test.

  • What are the prerequisites for this Hadoop Training Course?

    The Hadoop training course includes no prerequisites. Previous knowledge of SQL and Core Java is, however, helpful for this course. Simplilearn offers a complimentary course “Java essentials for Hadoop” with the Big Data course to revise the core java concepts. The course uses Python and Scala for Spark and to assist the candidate's learning, an ebook is provided.

  • How do I become a Big Data Hadoop Architect taking this Developer course?

    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.

  • Is this course accredited?

    No, this course is not officially accredited.

  • How do I pass Simplilearn's Big Data Hadoop Course Certification 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 exam offered through Cloudera?

    Simplilearn provides guidance and support to help learners pass the Cloudera Certified Hadoop developer exam in the first attempt, if you do fail, you have a maximum of three re-takes to successfully pass. 

  • How long does it take to receive the Big Data Hadoop Certification Training Course Certificate from simplilearn?

    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 & Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for 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

Ajinkya Gavi
Ajinkya Gavi Associate at Cognizant, Mumbai

I joined Simplilearn to explore more about the upcoming Technology. Just 1 month of course along with sufficient practice landed me a job in a Top IT MNC. I never thought an experienced person can start as fresher in Bigdata, but Simplilearn made it happen. Thank you Simplilearn.

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Mary Deepthi
Mary Deepthi Manager at Capgemini Technology India Pvt Ltd, Mumbai

Very patient and knowledgeable training staff. Step by step learning with practical sessions which give us an in-depth understanding. Additional Video classes, PDF's and Recordings of training help us in a great way. The host and the support team are very proactive and helpful in solving queries. Great way to go!!! Just awesome!

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Manish Kumar
Manish Kumar Project Leader at R Systems, Mumbai

Nice and informative classes. Excellent effort by the trainer, so that we get maximum benefit from his class - he explained things in a very easy and simple way.. He has very good communication skills...It's so convenient now that it's online... Thanks.

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Nirav Sanghvi
Nirav Sanghvi Project Manager, Mumbai

Thumbs up for training material quality, training methodology & experienced trainer for segment.

Sunil Manikani
Sunil Manikani Software Engg, Mumbai

A well planned course on Hadoop. The training was good and to the point.

Amol Dalvi
Amol Dalvi Software Developer, Mumbai

The Big Data and Hadoop training was well structured and covered all important topics.

Meeta M Meher
Meeta M Meher Group Project Manager, Mumbai

My intention was to understand Big Data and know where I can use Hadoop, increment working and I got the idea. Definitely a good course to have overview on Big Data and Hadoop.

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Prasad Abhayankar
Prasad Abhayankar Manager - Database Administration at BancTec, Mumbai

I gained a good understanding of Big Data and Hadoop concepts from the training. Thank you.

Pavish Karnik
Pavish Karnik Sr. Software Engineer at Wowcher, Mumbai

Good program on Big Data and Hadoop; well delivered by Simplilearn Team.

Ajit Khadkar
Ajit Khadkar Sr. Technical Consultant, Mumbai

The training has been interesting and helpful. It has covered Hadoop topics in depth with hands-on activity.

Hari Harasan
Hari Harasan Technical Architect, Bangalore

The session on Map reducer was really interesting, a complex topic was very well explained in an understandable manner. Thanks, Sarvesh.

Sunitha Vineeth
Sunitha Vineeth Service Level Manager, Bangalore

It was an amazing session. Thanks to the trainer for sharing his knowledge.

Kashif Siddiqui
Kashif Siddiqui Tech-lead Datawarehouse (OWB ,ODI and OBIEE) at FLSmidth, Delhi

I am impressed with the trainer's in-depth knowledge and excellent communication skills. He understood our questions and answered them very efficiently.

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Kashif Iqbal Arif
Kashif Iqbal Arif Lead Consultant at ITC Infotech, Bangalore

Simplilearn's Big data Hadoop course is amazing. The virtual class contents and materials are simply awesome. You can pause and play as many times until you learn the concept. The game changer is the demo of each and every concepts and scenario, assignments at the end of each lesson. Webex classroom sessions are superb. You can even attend the class using your mobile on the go. What else you want. You can also attend multiple classroom sessions of different well qualified teachers.

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Raghul Nethaji
Raghul Nethaji Senior Operations Professional at IBM, Chennai

Simplilearn is highly recommended for any online technical classes. Their course covers the whole syllabus. The customer care was supportive. Thank you Simplilearn.

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FAQs

  • What are different job roles available for Hadoop Professionals in Mumbai?

    Big Data jobs in Mumbai are present a dime a dozen, which spells good news for professionals. Candidates can find more than 7000 jobs across the country posted in Naukri portal alone. Big Data certification allows the candidates to aim for the following job roles:

    • Data scientist
    • Big Data Engineer
    • Big Data testing engineer
    • Data Architect
    • Data analyst

  • What is scope for Big Data Hadoop in Mumbai?

    The growing trend of data-oriented jobs was highlighted in 2017 in a report provided by Analytics India Magazine. The report showed that the number of big data job opportunities in India nearly doubled in 2017, with almost 50,000 vacancies still to be filled. Mumbai accounted for over 3% of all the analytics jobs in 2017. For the same year, generation of such jobs in Pune and Delhi was 27%.

    A staffing solutions company, TeamLease, found that data scientist having nearly 5 years of experience had an earning potential of 75 lakhs per annum. On the contrary, CAs with the same level of experience earn about 8-15 lakhs, and engineers earn 5-8 lakhs. Considering this salary trend, we can conclude that there is a huge demand for skilled big data professionals.

  • Which Companies/ Startups in Mumbai are hiring Big Data Hadoop Professionals?

    Big Data professionals continue to be in growing demand in several companies of Mumbai. Considering the research of Naukri, companies like JP Morgan Chase, Capgemini, CITI, Teradata, Amazon, L&T, HERE, and Nokia have vacancies for such professionals.

  • What is the Salary of Hadoop Developer in Mumbai?

    Payscale has estimated that the median salary of big data professionals is 2.5 lakhs per annum in Mumbai. The earning potential can go up to 10 lakhs for experienced big data professionals. The package can, however, increase up to 21 lakhs in cities like Delhi and Pune.

  • What are the System Requirements?

    The tools you’ll need to attend this Hadoop 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 instruction 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 in Mumbai?

    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 in Mumbai?

    Keeping up with the Big Data & Analytics boom, Simplilearn has tailored very comprehensive Big Data certification programs in Mumbai 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.

    Our Mumbai Correspondence / Mailing address

    Simplilearn Solutions Pvt Ltd, 601, 6th Floor, Rupa Solitaire, Millennium Business Park, Plot No.A-1, Mahape, Navi Mumbai - 400710, Maharashtra, India, Call us at: 1800-102-9602

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