Course description

  • What are the Benefits of Big Data Hadoop Certification?

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

    hadoop training

  • Why should you take this Hadoop Certification Course?

    The Big Data Hadoop training  in Hyderabad is designed to help the candidates achieve the Cloudera CCA175 big data certification. It gives a complete overview of the Big Data Framework using Hadoop and Spark along with MapReduce, YARN, and HDFS. The course trains you to process and analyze large datasets saved in the HDFS by using Impala, Hive, and Pig. You will also learn how to ingest data using Flume and Sqoop. 
    Learn to enhance your skills in using Spark for real-time data processing, including parallel processing in Spark, implementing Spark applications, using Spark RDD optimization techniques, and functional programming in Spark. You can also explore the different interactive algorithms in Spark and use Spark SQL to create, transform, and query data forms.
    The training incorporates real-world, industry-oriented projects as well. The projects are from various fields like e-commerce, insurance, social media, telecommunication, and banking. We provide the CloudLab platform to execute the projects. 
     

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

    Candidates can get a complete overview of the Hadoop framework and how it is deployed in a cluster environment with Simplilearn’s Big Data Hadoop training in Hyderabad. They will learn to:

    • 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.
    • Ingest data using Sqoop and Flume
    • Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
    • Understand different types of file formats, Avro Schema, using Arvo 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 and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
    • Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
    • Do functional programming in Spark, and implement and build Spark applications
    • Gain a working knowledge of Pig and its components
    • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
    • Understand resilient distribution datasets (RDD) in detail
    • 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

  • What are the prerequisites for learning Big Data Hadoop?

    This Hadoop Training Course in Hyderabad can be taken up without any prior conditions. Optionally, an understanding of SQL and core Java is advantageous. Candidates who enroll in this course are offered "Java essentials for Hadoop" as a complimentary self-paced course to revise their Core Java knowledge. For Spark, this course uses Python and Scala, and an e-book is provided additionally.

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

    There are a total of five industry-oriented, real-world projects included as a part of the Hadoop Training course in Hyderabad. Candidates need to complete at least one project to get certified.

    Project 1

    Domain- Banking

    Description: A Portuguese banking institution wanted customers to invest in a bank term deposit and ran a marketing campaign for it. They used phone calls to conduct their campaign. They, sometimes, contacted the same customer more than once. You need to collect the data of the marketing campaign and analyze it.

    Project 2

    Domain- Telecommunication

    Description: A new Open Network campaign has been launched by a mobile phone service provider. If users face any problem with their mobile network, they are encouraged to complain about their local tower. 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 crucial information for the company. You need to determine this latitude and longitude information using the available dataset and create three clusters of users with a k-means algorithm.

    To enhance your practical experience, three more projects are provided by Simplilearn to understand Hadoop and Spark better.

    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.

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

    We can see a considerable increase in job opportunities available in the field of Big Data. The Big Data architecture requires Hadoop as a must known technology. Professionals from the fields of data management, IT, and analytics find the Big Data training ideal, including:

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

  • How will I execute projects during Hadoop training course?

    To execute the projects, candidates can use the CloudLab platform of Simplilearn during the training.

     

  • What is CloudLab?

    Simplilearn’s Hadoop Training course in Hyderabad includes hands-on, real-life projects to be completed. To implement the projects, a cloud-based Hadoop and Spark environment lab is provided to the candidates known as CloudLab. Candidates do not need a virtual machine to install and maintain Hadoop or Spark. CloudLab will allow the candidates to access a pre-configured environment with their browser. We provide a similar kind of environment that is used by companies to optimize the installation, availability, and scalability of Hadoop.

    Candidates can use Simplilearn’s LMS (Learning Management System) to access CloudLab during the course. A video on CloudLab is available to give more details.

Course preview

    • Lesson 00 - Course Introduction

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      • Project For Submission
      • Projects with solutions
    • Course Feedback

      • Course Feedback
    • Lesson 01 - Java Introduction

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      • Learning Objectives
    • Lesson 2- Introduction to Apache Kafka

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

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

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

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

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

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

    You will be getting a Course Completion Certificate from Simplilearn valid & recognized Globally only on fulfilling below suggested  eligibility criteria

    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%

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

     

    Professionals skilled at SQL technologies and Core Java can find Simplilearn’s Big Data Hadoop certification course most suitable for becoming a successful 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 many attempts do I have to pass the Cloudera Big Data Hadoop certification exam?

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

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

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

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

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

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

    You can retake it immediately.

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

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

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

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

Course advisor

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

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

Reviews

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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Manoj Nirale
Manoj Nirale Programmer Analyst at Cognizant, Hyderabad

Trainer has vast knowledge on topics. Excellent way of delivering... Good pace.

Manish Sunkari
Manish Sunkari Student at Gurunanak College of Engineering, Hyderabad

To keep me updated with the new technologies and developments in IT world I joined the Big Data Hadoop and Spark Developer from Simplilearn. The course helped me to enhance my career from Tech Support to a Senior position with a salary hike.

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Lakshmi Avula
Lakshmi Avula Software Engineer at Bodhtree Consulting Ltd, Hyderabad

The content and examples shared by trainer are very informative.

P Sri Durga Meghana
P Sri Durga Meghana Systems Engineer, Hyderabad

Trainer has provided us with good practice-oriented knowledge. We have gained good knowledge of Hadoop. In fact, I can say we are overloaded with knowledge. Thank you.

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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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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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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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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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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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    FAQs

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

      The field of Big Data is increasingly becoming popular and provides great career opportunities. The Naukri portal alone consists of more than 800 job posts related to big data in Hyderabad. A Big Data certification allows you to aim for the following designations:

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

    • What is scope for Big Data Hadoop in Hyderabad?

      A staffing solutions company called TeamLease has concluded that the earning potential of a 5 year experienced data scientist is 75 lakhs per annum. Comparatively, CAs earn about 8-15 lakhs and engineers earn about 5-8 lakhs with the same experience level. Considering this trend in salary, there is a huge demand for skilled data professionals.

      Analytics India Magazine reported the growing trend of data-oriented jobs in 2017. This report says that the number of Big Data jobs available in India has almost doubled in 2017, with more than 50,000 vacancies yet to be filled. A total of 9% of all analytics jobs originated in Hyderabad in 2017.

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

      There are many companies in Hyderabad which continuously require skilled Big Data professionals. As per the Naukri portal, some of those are Larsen & Toubro, MPhasis, JPMorgan, TEKsystem, etc.

    • What is the Salary of Hadoop Developer in Hyderabad?

      A median salary of 3.23 lakhs is earned per year by the Big Data professionals in Hyderabad, as per the estimates of Payscale. The package can raise up to 8 lakhs per annum for experienced Big data professionals.

    • What are the System Requirements?

      The tools you’ll need to attend training in Hyderabad 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?

      We offer this training in the following modes:

      We offer this training in the following modes:

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

       

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

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

    • Are there any group discounts for classroom training programs?

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

    • What payment options are available?

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

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

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

    • Who are our faculties and how are they selected?

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

    • What is Global Teaching Assistance?

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

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

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

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

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

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

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

    • What if I miss a class?

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

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

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

      Few of the courses offered around Big Data are:

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

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

    • What is online classroom training?

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

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

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

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

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

    • What certification will I receive after completing the training?

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

    Our Hyderabad Correspondence / Mailing address

    Simplilearn Solutions Pvt Ltd, 1st Floor, Phoenix Tech Tower, Plot No. 14/46, Survey No. 1(part), IDA - Uppal Village and Mandal, Uppal Notified Industrial Area Service Society, Ranga Reddy District, Hyderabad - 500039, Telangana, 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.