Course description

  • Why Big Data Hadoop Certification Course Now?

    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 this bigdata certification 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 (CCA175) Cloudera 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 with this Big Data Hadoop 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 this Big Data Training in Bangalore helps up scaling your career as hadoop developer?

    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 developers in the US receive salaries of up to $123,000 – indeed.com

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

    You will be given access to Simplilearn’s CloudLab to work & complete projects during the training.

  • 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.
     

  • What are different job roles a Big Data Hadoop Trained professional is eligible?

    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
      • 0.1 Introduction 04:10
    • Lesson 01 - Introduction to Big data and Hadoop Ecosystem 15:43
      • 1.1 Introduction 00:38
      • 1.2 Overview of Big Data and Hadoop 05:13
      • 1.3 Pop Quiz
      • 1.4 Hadoop Ecosystem 08:57
      • 1.5 Quiz
      • 1.6 Key Takeaways 00:55
    • Lesson 02 - HDFS and YARN 47:08
      • 2.1 Introduction 06:10
      • 2.2 HDFS Architecture and Components 08:59
      • 2.3 Pop Quiz
      • 2.4 Block Replication Architecture 09:53
      • 2.5 YARN Introduction 21:25
      • 2.6 Quiz
      • 2.7 Key Takeaways 00:41
      • 2.8 Hands-on Exercise
    • Lesson 03 - MapReduce and Sqoop 57:00
      • 3.1 Introduction 00:41
      • 3.2 Why Mapreduce 11:57
      • 3.3 Small Data and Big Data 15:53
      • 3.4 Pop Quiz
      • 3.5 Data Types in Hadoop 04:23
      • 3.6 Joins in MapReduce 04:43
      • 3.7 What is Sqoop 18:21
      • 3.8 Quiz
      • 3.9 Key Takeaways 01:02
      • 3.10 Hands-on Exercise
    • Lesson 04 - Basics of Hive and Impala 19:00
      • 4.1 Introduction 04:07
      • 4.2 Pop Quiz
      • 4.3 Interacting with Hive and Impala 14:07
      • 4.4 Quiz
      • 4.5 Key Takeaways 00:46
    • Lesson 05 - Working with Hive and Impala 28:36
      • 5.1 Working with Hive and Impala 07:08
      • 5.2 Pop Quiz
      • 5.3 Data Types in Hive 07:47
      • 5.4 Validation of Data 07:47
      • 5.5 What is Hcatalog and Its Uses 05:25
      • 5.6 Quiz
      • 5.7 Key Takeaways 00:29
      • 5.8 Hands-on Exercise
    • Lesson 06 - Types of Data Formats 14:35
      • 6.1 Introduction 00:44
      • 6.2 Types of File Format 02:35
      • 6.3 Pop Quiz
      • 6.4 Data Serialization 03:11
      • 6.5 Importing MySql and Creating hivetb 04:32
      • 6.6 Parquet With Sqoop 02:37
      • 6.7 Quiz
      • 6.8 Key Takeaways 00:56
      • 6.9 Hands-on Exercise
    • Lesson 07 - Advanced Hive Concept and Data File Partitioning 17:00
      • 7.1 Introduction 07:41
      • 7.2 Pop Quiz
      • 7.3 Overview of the Hive Query Language 08:18
      • 7.4 Quiz
      • 7.5 Key Takeaways 01:01
      • 7.6 Hands-on Exercise
    • Lesson 08 - Apache Flume and HBase 28:06
      • 8.1 Introduction 12:29
      • 8.2 Pop Quiz
      • 8.3 Introduction to HBase 14:40
      • 8.4 Quiz
      • 8.5 Key Takeaways 00:57
      • 8.6 Hands-on Exercise
    • Lesson 09 - Pig 18:08
      • 9.1 Introduction 10:45
      • 9.2 Pop Quiz
      • 9.3 Getting Datasets for Pig Development 06:45
      • 9.4 Quiz
      • 9.5 Key Takeaways 00:38
      • 9.6 Hands-on Exercise
    • Lesson 10 - Basics of Apache Spark 39:54
      • 10.1 Introduction 16:04
      • 10.2 Spark - Architecture, Execution, and Related Concepts 07:10
      • 10.3 Pop Quiz
      • 10.4 RDD Operations 10:39
      • 10.5 Functional Programming in Spark 05:34
      • 10.6 Quiz
      • 10.7 Key Takeaways 00:27
      • 10.8 Hands-on Exercise
    • Lesson 11 - RDDs in Spark 16:09
      • 11.1 Introduction 00:46
      • 11.2 RDD Data Types and RDD Creation 10:14
      • 11.3 Pop Quiz
      • 11.4 Operations in RDDs 04:35
      • 11.5 Quiz
      • 11.6 Key Takeaways 00:34
      • 11.7 Hands-on Exercise
    • Lesson 12 - Implementation of Spark Applications 13:54
      • 12.1 Introduction 03:57
      • 12.2 Running Spark on YARN 01:27
      • 12.3 Pop Quiz
      • 12.4 Running a Spark Application 01:47
      • 12.5 Dynamic Resource Allocation 01:06
      • 12.6 Configuring Your Spark Application 04:24
      • 12.7 Quiz
      • 12.8 Key Takeaways 01:13
    • Lesson 13 - Spark Parallel Processing 08:40
      • 13.1 Introduction 05:41
      • 13.2 Pop Quiz
      • 13.3 Parallel Operations on Partitions 02:28
      • 13.4 Quiz
      • 13.5 Key Takeaways 00:31
      • 13.6 Hands-on Exercise
    • Lesson 14 - Spark RDD Optimization Techniques 14:23
      • 14.1 Introduction 04:40
      • 14.2 Pop Quiz
      • 14.3 RDD Persistence 08:59
      • 14.4 Quiz
      • 14.5 Key Takeaways 00:44
      • 14.6 Hands-on Exercise
    • Lesson 15 - Spark Algorithm 27:09
      • 15.1 Introduction 00:49
      • 15.2 Spark: An Iterative Algorithm 03:13
      • 15.3 Introduction To Graph Parallel System 02:34
      • 15.4 Pop Quiz
      • 15.5 Introduction To Machine Learning 10:27
      • 15.6 Introduction To Three C's 08:07
      • 15.7 Quiz
      • 15.8 Key Takeaways 01:59
    • What’s next? 05:28
      • The Next Step 05:28
    • Lesson 16 - Spark SQL 13:21
      • 16.1 Introduction 06:36
      • 16.2 Pop Quiz
      • 16.3 Interoperating with RDDs 06:08
      • 16.4 Quiz
      • 16.5 Key Takeaways 00:37
      • 16.6 Hands-on Exercise
    • Projects
      • Project For Submission
      • Projects with solutions
    • Simulation Test Paper Instructions 00:20
      • Instructions 00:20
    • Course Feedback
      • Course Feedback
    • Lesson 01- APACHE KAFKA ARCHITECTURE 14:43
      • 1.1- The Course Overview 02:24
      • 1.2- Building Applications in the Publish-Subscribe Architecture 02:37
      • 1.3- Topics and Partitions 04:39
      • 1.4- How Kafka Cluster is Built? - Brokers 02:56
      • 1.5- Setup of Kafka - Using Docker 02:07
    • Lesson 02- PRODUCERS AND CONSUMERS 38:07
      • 2.1- Sending Events to Kafka - Producers API 04:55
      • 2.2- Asynchronous Send 08:02
      • 2.3- Partitioning of Topics - Implementing Custom Partitioner 02:52
      • 2.4- Reading Events from Kafka - Consumer API 06:24
      • 2.5- Consumer Pool Loop - Offset Management 07:41
      • 2.6- Rebalancing of Consumers 08:13
    • Lesson 03- ADVANCED KAFKA - UNDERSTANDING INTERNALS 09:07
      • 3.1- Electing Partition Leaders - Kafka Controller Component 02:44
      • 3.2- Data Replication in Kafka 01:50
      • 3.3- Append-Only Distributed Log - Storing Events in Kafka 02:00
      • 3.4- Compaction Process 01:41
      • 3.5- Summary of Apache Kafka Course 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?

    Here are the things you must fulfill to get simplilearn’s course completion certificate which is valid & recognized around the globe

    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, 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.
     

  • How can i become Cloudera Certified Hadoop Developer?

    To become a Cloudera Certified Hadoop Developer, you must fulfill both of the following criteria:

    • Successfully complete Cloudera Hadoop Developer Certification Training, Provided by Simplilearn, which will be evaluated by the lead trainer. 
    • Pass Spark and Hadoop Developer Exam with a minimum score of 70% which costs your pocket by USD $ 295. The test is an online exam and consists of 8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster that must be answered within 120 minutes

  • 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.

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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Vignesh Balasubramanian
Vignesh Balasubramanian Senior Operations Professional at IBM, Chennai

I have enrolled for Big Data Hadoop Spark developer course from Simplilearn. The course was well organized, covering all the root concepts and relevant real-time experience. The trainer was well equipped to solve all the doubts during the training. Cloud lab facility and materials provided were on point.

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Anusha T S
Anusha T S Student at Sri Siddharatha Acedemy, Bangalore

I have enrolled in Big Data Hadoop and Spark Developer from Simplilearn. I like the teaching way of the trainers. He was very helpful and knowledgeable. Overall I am very happy with Simplilearn. Their cloud labs are also very user-friendly. I would highly recommend my friends to take a course from here and upskill themselves.

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FAQs

  • What are different Big Data Hadoop job opportunities available 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:

  • 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

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