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  • 44 hours of instructor-led training
  • 24 hours of self-paced video
  • 5 real-life industry projects using Hadoop and Spark
  • Hands-on practice on CloudLab
  • Training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark
  • Aligned to Cloudera CCA175 certification exam

Course description

  • Why Learn Big Data and Hadoop?

    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.

    hadoop training

  • What are the objectives of our Big Data Hadoop Online Course?

    The Big Data Hadoop Certification course is designed to give you 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 with our Big Data Hadoop Certification 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 on CloudLab. 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 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.

    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

  • How will I execute projects in this Hadoop training course?

    You will use Simplilearn’s CloudLab to complete projects.

  • What is CloudLab?

    CloudLab is a cloud-based Hadoop and Spark environment lab that Simplilearn offers with the Hadoop Training course to ensure a hassle-free execution of your hands-on projects. There is no need to install and maintain Hadoop or Spark on a virtual machine. Instead, you’ll be able to access a preconfigured environment on CloudLab via your browser. This environment is very similar to what companies are using today to optimize Hadoop installation scalability and availability.

    You’ll have access to CloudLab from the Simplilearn LMS (Learning Management System) for the duration of the course. You can learn more about CloudLab by viewing our CloudLab video.
     

Course preview

    • Lesson 00 - Course Introduction 04:10
      • 0.1 Introduction04:10
    • Lesson 01 - Introduction to Big data and Hadoop Ecosystem 15:43
      • 1.1 Introduction00:38
      • 1.2 Overview to Big Data and Hadoop05:13
      • 1.3 Pop Quiz
      • 1.4 Hadoop Ecosystem08:57
      • 1.5 Quiz
      • 1.6 Key Takeaways00:55
    • Lesson 02 - HDFS and YARN 47:08
      • 2.1 Introduction06:10
      • 2.2 HDFS Architecture and Components08:59
      • 2.3 Pop Quiz
      • 2.4 Block Replication Architecture09:53
      • 2.5 YARN Introduction21:25
      • 2.6 Quiz
      • 2.7 Key Takeaways00:41
      • 2.8 Hands-on Exercise
    • Lesson 03 - MapReduce and Sqoop 57:00
      • 3.1 Introduction00:41
      • 3.2 Why Mapreduce11:57
      • 3.3 Small Data and Big Data15:53
      • 3.4 Pop Quiz
      • 3.5 Data Types in Hadoop04:23
      • 3.6 Joins in MapReduce04:43
      • 3.7 What is Sqoop18:21
      • 3.8 Quiz
      • 3.9 Key Takeaways01:02
      • 3.10 Hands-on Exercise
    • Lesson 04 - Basics of Hive and Impala 19:00
      • 4.1 Introduction04:07
      • 4.2 Pop Quiz
      • 4.3 Interacting with Hive and Impala14:07
      • 4.4 Quiz
      • 4.5 Key Takeaways00:46
    • Lesson 05 - Working with Hive and Impala 28:36
      • 5.1 Working with Hive and Impala07:08
      • 5.2 Pop Quiz
      • 5.3 Data Types in Hive07:47
      • 5.4 Validation of Data07:47
      • 5.5 What is Hcatalog and Its Uses05:25
      • 5.6 Quiz
      • 5.7 Key Takeaways00:29
      • 5.8 Hands-on Exercise
    • Lesson 06 - Types of Data Formats 14:35
      • 6.1 Introduction00:44
      • 6.2 Types of File Format02:35
      • 6.3 Pop Quiz
      • 6.4 Data Serialization03:11
      • 6.5 Importing MySql and Creating hivetb04:32
      • 6.6 Parquet With Sqoop02:37
      • 6.7 Quiz
      • 6.8 Key Takeaways00:56
      • 6.9 Hands-on Exercise
    • Lesson 07 - Advanced Hive Concept and Data File Partitioning 17:00
      • 7.1 Introduction07:41
      • 7.2 Pop Quiz
      • 7.3 Overview of the Hive Query Language08:18
      • 7.4 Quiz
      • 7.5 Key Takeaways01:01
      • 7.6 Hands-on Exercise
    • Lesson 08 - Apache Flume and HBase 28:06
      • 8.1 Introduction12:29
      • 8.2 Pop Quiz
      • 8.3 Introduction to HBase14:40
      • 8.4 Quiz
      • 8.5 Key Takeaways00:57
      • 8.6 Hands-on Exercise
    • Lesson 09 - Pig 18:08
      • 9.1 Introduction10:45
      • 9.2 Pop Quiz
      • 9.3 Getting Datasets for Pig Development06:45
      • 9.4 Quiz
      • 9.5 Key Takeaways00:38
      • 9.6 Hands-on Exercise
    • Lesson 10 - Basics of Apache Spark 39:54
      • 10.1 Introduction16:04
      • 10.2 Spark - Architecture, Execution, and Related Concepts07:10
      • 10.3 Pop Quiz
      • 10.4 RDD Operations10:39
      • 10.5 Functional Programming in Spark05:34
      • 10.6 Quiz
      • 10.7 Key Takeaways00:27
      • 10.8 Hands-on Exercise
    • Lesson 11 - RDDs in Spark 16:09
      • 11.1 Introduction00:46
      • 11.2 RDD Data Types and RDD Creation10:14
      • 11.3 Pop Quiz
      • 11.4 Operations in RDDs04:35
      • 11.5 Quiz
      • 11.6 Key Takeaways00:34
      • 11.7 Hands-on Exercise
    • Lesson 12 - Implementation of Spark Applications 13:54
      • 12.1 Introduction03:57
      • 12.2 Running Spark on YARN01:27
      • 12.3 Pop Quiz
      • 12.4 Running a Spark Application01:47
      • 12.5 Dynamic Resource Allocation01:06
      • 12.6 Configuring Your Spark Application04:24
      • 12.7 Quiz
      • 12.8 Key Takeaways01:13
    • Lesson 13 - Spark Parallel Processing 08:40
      • 13.1 Introduction05:41
      • 13.2 Pop Quiz
      • 13.3 Parallel Operations on Partitions02:28
      • 13.4 Quiz
      • 13.5 Key Takeaways00:31
      • 13.6 Hands-on Exercise
    • Lesson 14 - Spark RDD Optimization Techniques 14:23
      • 14.1 Introduction04:40
      • 14.2 Pop Quiz
      • 14.3 RDD Persistence08:59
      • 14.4 Quiz
      • 14.5 Key Takeaways00:44
      • 14.6 Hands-on Exercise
    • Lesson 15 - Spark Algorithm 27:09
      • 15.1 Introduction00:49
      • 15.2 Spark: An Iterative Algorithm03:13
      • 15.3 Introduction To Graph Parallel System02:34
      • 15.4 Pop Quiz
      • 15.5 Introduction To Machine Learning10:27
      • 15.6 Introduction To Three C's08:07
      • 15.7 Quiz
      • 15.8 Key Takeaways01:59
    • What’s next? 05:28
      • The Next Step05:28
    • Lesson 16 - Spark SQL 13:21
      • 16.1 Introduction06:36
      • 16.2 Pop Quiz
      • 16.3 Interoperating with RDDs06:08
      • 16.4 Quiz
      • 16.5 Key Takeaways00:37
      • 16.6 Hands-on Exercise
    • Projects
      • Project For Submission
      • Projects with solutions
    • Simulation Test Paper Instructions 00:20
      • Instructions00:20
    • Course Feedback
      • Course Feedback
    • Lesson 01- APACHE KAFKA ARCHITECTURE 14:43
      • 1.1- The Course Overview02:24
      • 1.2- Building Applications in the Publish-Subscribe Architecture02:37
      • 1.3- Topics and Partitions04:39
      • 1.4- How Kafka Cluster is Built? - Brokers02:56
      • 1.5- Setup of Kafka - Using Docker02:07
    • Lesson 02- PRODUCERS AND CONSUMERS 38:07
      • 2.1- Sending Events to Kafka - Producers API04:55
      • 2.2- Asynchronous Send08:02
      • 2.3- Partitioning of Topics - Implementing Custom Partitioner02:52
      • 2.4- Reading Events from Kafka - Consumer API06:24
      • 2.5- Consumer Pool Loop - Offset Management07:41
      • 2.6- Rebalancing of Consumers08:13
    • Lesson 03- ADVANCED KAFKA - UNDERSTANDING INTERNALS 09:07
      • 3.1- Electing Partition Leaders - Kafka Controller Component02:44
      • 3.2- Data Replication in Kafka01:50
      • 3.3- Append-Only Distributed Log - Storing Events in Kafka02:00
      • 3.4- Compaction Process01:41
      • 3.5- Summary of Apache Kafka Course00:52
    • Lesson 01 - Java Introduction 1:18:27
      • 1.1 Introduction to Java25:37
      • 1.2 Features of Java811:41
      • 1.3 Object Oriented Programming (OOP)23:00
      • 1.4 Fundamentals of Java18:09
      • Quiz
    • Lesson 02 - Working with Java Variables 36:00
      • 2.1 Declaring and Initializing Variables11:47
      • 2.2 Primitive Data Types06:50
      • 2.3 Read and Write Java Object Fields10:27
      • 2.4 Object Lifecycle06:56
      • Quiz
    • Lesson 03 - Java Operators and Decision Constructs 15:01
      • 3.1 Java Operators and Decision Constructs15:01
      • Quiz
    • Lesson 04 - Using Loop Constructs in Java 17:42
      • 4.1 Using Loop Constructs in Java17:42
      • Quiz
    • Lesson 05 - Creating and Using Array 36:16
      • 5.1 Creating and Using One-dimensional Array26:53
      • 5.2 Creating and Using Multi-dimensional Array09:23
      • Quiz
    • Lesson 06 - Methods and Encapsulation 35:55
      • 6.1 Java Method04:36
      • 6.2 Static and Final Keyword15:16
      • 6.3 Constructors and Access Modifiers in Java07:04
      • 6.4 Encapsulation08:59
      • Quiz
    • Lesson 07 - Inheritance 40:32
      • 7.1 Polymorphism Casting and Super23:46
      • 7.2 Abstract Class and Interfaces16:46
      • Quiz
    • Lesson 08 - Exception Handling 36:17
      • 8.1 Types of Exceptions and Try-catch Statement18:48
      • 8.2 Throws Statement and Finally Block11:27
      • 8.3 Exception Classes06:02
      • Quiz
    • Lesson 09 - Work with Selected classes from the Java API 1:01:06
      • 9.1 String28:16
      • 9.2 Working with StringBuffer05:44
      • 9.3 Create and Manipulate Calendar Data13:03
      • 9.4 Declare and Use of Arraylist14:03
      • Quiz
    • Lesson 10 - Additional Topics 45:03
      • 10.1 Inner classes Inner Interfaces and Thread16:51
      • 10.2 Collection Framework05:05
      • 10.3 Comparable Comparator and Iterator10:19
      • 10.4 File Handling and Serialization12:48
      • Quiz
    • Lesson 11 - JDBC 47:54
      • 11.1 JDBC and its Architecture08:50
      • 11.2 Drivers in JDBC03:09
      • 11.3 JDBC API and Examples24:44
      • 11.4 Transaction Management in JDBC11:11
      • Quiz
    • Lesson 12 - Miscellaneous and Unit Testing 19:24
      • 12.1 Unit Testing19:24
      • Quiz
    • Lesson 13 - Introduction to Java 8 18:53
      • 13.1 Introduction to Java 818:53
      • Quiz
    • Lesson 14 - Lambda Expression 14:39
      • 14.1 Lambda Expression14:39
      • Quiz
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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 pre-requisites for this Hadoop Training Course?

    There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush up your Core-Java skills, Simplilearn offers a complimentary 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.
     

Reviews

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.

Hema Sivakoti
Hema Sivakoti Associate Manager at Accenture, Bangalore

I am very much satisfied with the support team and technical team of Simplilearn. I used to get the update of all my queries within a day and they used to answer all my questions in a detailed way. Also, they suggested me to choose the best course according to the latest trends. I took Big Data Hadoop training, where they explained in a detailed way with examples also supported a lot in clarifying all my questions regarding project submission.

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Abhay D.
Abhay D. Software Engineer at Pixere Consulting Pvt. Ltd., Jaipur

Simplilearn is one of the best cost-effective solutions to learn online. I enrolled in their Big Data Hadoop and Spark Developer course. The course content was really nice. The certification helped me to land a job in Pixere Consulting Pvt Ltd. as Software Engineer.

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Anantha Subramanian
Anantha Subramanian Senior IT Manager-Engineering, R&D at PAREXEL International, Hyderabad

I have enrolled for Big-Data Hadoop and Spark Developer from Simplilearn. The course was explained using very simple and real-time analogies which helped me to understand the concepts and also do exercises easily. The trainer was really helpful and was always willing to share the knowledge with the wider audience. I highly recommend Simplilearn.

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Kaushal Rathore
Kaushal Rathore Program Manager at Publicis.Sapient, Bangalore

Simplilearn’s Big Data course prepared me with the skills to get ahead in my career. The course helped me to enhance my career from Senior Associate to Program Operations Manager at Sapient within 1 year of completing the course.

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Priyanka Chouhan
Priyanka Chouhan Product Integration Engineer at EdgeVerve, Pune

The overall experience has been great with Simplilearn. The course content is very thorough and easy to understand. Online classes are held on a regular basis with the terrific instructor who makes it much easier for us to understand the concepts. Real time examples make the content relatable for even a layman. Faster query resolution is provided. They have support ticketing system through which you can create a support ticket for any kind of queries to get a quick reply. Live chat sessions are also there to get real-time help. The course videos are designed in a very interactive way and the duration of videos is minimal to keep you interested in the topic. The cloud lab feature is also great for people who are not able to install the software on their own machines. The cloud lab allows you to complete your assignments and practice work there itself. In-depth information is provided about each topic and other course materials are also provided to help with complete learning. All in all, I will suggest to try out the courses provided by Simplilearn as they are excellent according to different certifications which are great for the professional career.

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Amit Kudnaver
Amit Kudnaver System Integrator and Senior Technical Lead at Mitel Networks, Bangalore

The training was conducted well, the instructor explained the concepts from scratch, made us think beyond our imagination and this has made me more confident. I learnt different solutions used in Hadoop designing. I recommend the course.

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Rameshkumar Selvakumar
Rameshkumar Selvakumar Senior Project Manager, Bangalore

Excellent learning center for management and technical trainings. Simplilearn's training would be the first step for a career change. Materials and online training videos are great - you can upgrade your skills without attending face to face session. Good work from the company. I have been attending the training from 2014. I feel Simplilearn is my place to upgrade my career.

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FAQs

  • What are the Big Data Hadoop job opportunities in Mumbai?

    Big Data jobs in Mumbai are present a dime a dozen, which spells good news for professionals. A quick search on Naukri will tell you that over 7000+ big data jobs across the country are posted on this platform alone. With a Big Data certificate, you could choose from various designations. Here’s a list of Big Data roles:

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

  • What is the market trend for Hadoop in Mumbai?

     

    According to TeamLease, a staffing solutions company, a data scientist with an average working experience of about 5 years has the potential to earn about 75 lakhs per annum, while CAs with the same level of experience earn about 8-15 lakhs and engineers earn 5-8 lakhs. If this salary trend is anything to go by, then the demand for data professionals has never been higher.

    In 2017, a report by Analytics India Magazine highlighted the rising trend of data-oriented jobs. According to this report, the number of big data jobs in India almost doubled in 2017, and over 50,000 positions are yet to be filled. In 2017, over 3% of all analytics jobs originated in Mumbai. However, in cities like Pune, Delhi had 27% of jobs being generated in the same year.

  • Which Companies in Mumbai are offering Jobs in Hadoop?

    Several companies in Mumbai are on the lookout for Big Data professionals. According to Naukri, some of the top companies looking out for big data professionals in Mumbai are Amazon, chase, L&T, Nokia, Capgemini, Teradata, CITI, HERE  etc.

  • What is the Salary of a Hadoop Developer in Mumbai?

    According to Payscale, big data professionals in Mumbai can earn an average of 2.5 lakhs per year. However, a big data professional with experience can earn up 10 lakhs per annum in Mumbai. However, in cities like Pune, Delhi, this can go up to 21 lakhs.

  • What are the System Requirements for attending this Big Data Hadoop Certification Online Course from Mumbai?

    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.

  • Who are the trainers?

    The trainings are delivered by highly qualified and certified instructors with relevant industry experience.

  • 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:

    Big Data Hadoop Certification Training in Mumbai, India

    Mumbai is the capital of the state of Maharashtra and the most populous city in all of India. As the financial and commercial capital of India, Mumbai hosts many national and multinational companies. This includes quite a few from the Fortune Global 500 companies, many foreign banks and companies like TCS and Accenture. Thus, the city has a huge scope of options to offer to professionals for moving ahead in their careers. Becoming certified can be a good option to help you grow in your career in this large city. Apache Hadoop is a platform that allows you to process and analyze large datasets stored for analysis. After taking Simplilearn’s Hadoop course in Mumbai, you will be able to master real-time data processing using tools like Spark. Becoming an expert in Hadoop will enable you to fully understand data in order to be more intelligent about your business. Data Scientists have the potential to earn about 19 lakhs a year in India and are in demand throughout the world. Simplilearn is powered by the Apache Software Foundation and offers a Hadoop certification course in Mumbai. If you’re interested in becoming a data scientist, Simplilearn’s learning delivery model combines the personal motivation of live virtual classroom instruction with the reinforcement of relevant practical projects. Our experts will ensure that you understand various aspects of the Hadoop Distributed File System (HDFS). If you ever have any questions about your training, the support of our 24/7 live teaching assistants is another benefit of learning with Simplilearn. Programmers interested in becoming a data scientist need to be proficient in Hadoop. Let Simplilearn help you make the most of your current or future data analysis career with an intensive training course for Hadoop certification.

    Our Mumbai 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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