Course description

  • Why Big Data Hadoop Certification?

    There is a growing demand for the skilled professionals in the field of data analytics as their lack is felt by nearly 80% of data scientists in India. Companies are ready to offer higher packages of average $92,000 for entry-level professionals in Bangalore. While for experienced data scientists, the average salary goes up to $116,000 and can potentially increase further. We now have entered the digital world where it’s all about data. So the data analytics and big data domains provide affirming career boost to the professionals. The field of big data has the potential to give remarkable results to the career expectations of the professionals in top cities included bangalore. 

    hadoop training

  • Why Should you take this Course?

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

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

    As a part of the Big Data Certification 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 will you learn with this Big Data Hadoop Course?

    Big Data Hadoop Training in Bangalore 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

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

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

    Project 1
    Domain- Banking

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

    Project 2
    Domain- Telecommunication

    Description: A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset 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

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

    Big Data career opportunities in Bangalore are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training in Bangalore 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

  • How will I execute projects during this course?

    Simplilearn provides CloudLab for the candidates to do their real-life projects which form a part of the training.  

  • What is CloudLab?

     

    Simplilearn is aimed to provide a platform for its candidates that is analogous to that used by companies nowadays for the optimization of installation, scalability, and availability of Hadoop. This platform is called CloudLab which is basically a cloud-based Hadoop and Spark environment lab and enriches the learning experience of the candidates when they use it to complete their real-life projects. CloudLab gives access to a preconfigured environment through the browser, hence, the candidates are not required to install and maintain Hadoop or Spark on a virtual machine

    Simplilearn LMS (Learning Management System) gives access to CloudLab throughout the course duration. We have also provided a CloudLab video for the candidates who wish to know more about CloudLab.

Course preview

    • Lesson 00 - Course Introduction

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      • Project For Submission
      • Projects with solutions
    • Course Feedback

      • Course Feedback
    • Lesson 01 - Java Introduction

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      • Learning Objectives
    • Lesson 2- Introduction to Apache Kafka

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

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

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

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

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

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

    Online Classroom:

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

    Online Self-Learning:

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

  • What are the pre-requisites for attending this Hadoop Training Course ?

    There are no prerequisites for learning this Big Data Course in Bangalore. 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 to become Big Data Hadoop Architect?

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

  • Who provides the certification?

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

  • Is this course accredited?

    No, this course is not officially accredited.

  • How do I pass the Big Data Hadoop exam?

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

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

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

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

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

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

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

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

    You can retake it immediately.

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

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

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

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

  • Do you provide any practice tests as part of this course?

    Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this free Big Data and Hadoop Developer Practice Test to understand the type of tests that are part of the course curriculum.

Course advisor

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

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

Santosh Reddy
Santosh Reddy Test Analyst, Bangalore

Simplilearn is a great learning place for both beginners and working professionals. It provides a detailed explanation for every topic. Recently I completed the certification for 'Big Data Hadoop and Spark Developer' (Instructor: Amit Singh). The trainer was accommodating and informative. Not only did he teach the course, but also gave much insight into current market trends. I highly recommend it to 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 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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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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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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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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Anuj Verma
Anuj Verma Cloud Strategy & PreSales @ Accenture, Bangalore

There is no question that the Big Data revolution sweeping through the world of business has made its impact on companies big and small. Multinational giants and startups alike are going out of their way to incorporate Big Data capabilities. Simplilearn’s Big Data and Hadoop Developer Certification Training offers you an opportunity to start your dream career in big data from scratch. Being a .Net developer and having little knowledge of Java, I enrolled in Flexi-pass program of Simplilearn’s Big Data and Hadoop Developer Course.This was my first experience of e-learning. The pre-recorded video tutorials have nice and clear video & voice clarity. The instructor’s accent is easy to understand and interpret. Difficult topics are explained using interesting real life examples. Support staff, back office, teaching staff are quite responsive and approachable.This course is very feasible to the beginners and the course contents are downloadable on the go. I recommend this course to all aspiring big data candidates. This is a good starting point for your journey. Apart from the quality of the offerings, which is exceptional, the price point of the course also makes it value-for-money.

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Er Janmejay Rai Csp
Er Janmejay Rai Csp Team Lead - Ruby on Rails at Optimal Transnational, Bangalore

Simplilearn courses are well structured to meet the market requirements. They constantly update the content to make sure that the candidates keep up with the latest market trends. I have taken a bunch of courses from Simplilearn and have gained a lot from them.

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Abhishek Jain
Abhishek Jain UX Designer, Bangalore

It's a great learning with SimpliLearn. I spent a lot of time on the internet, read many blogs to identify the best training platform, and then I found SimpliLearn. I got in touch with the SimpliLearn Support team and got the program I was looking for. I have completed my course and believe me, I have had a great experience, I learnt a new technology in a matter of few weeks. Trainers are really knowledgeable and have provided the best training sessions. I was able to attend different trainings conducted by different trainers as well. One of the best platforms to learn any new technology I must say.

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Shakul Mittal
Shakul Mittal Business Analyst at elth.ai, Bangalore

I enrolled for Big Data and Hadoop Developer Course and its amazing. Not just the content but the expertise of coaching and the perks offered like access to the cloudlab is impressive. Thanks Simplilearn for the incredible experience! I will definitely recommend Simplilearn for Data Science.

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Akash Porwal
Akash Porwal NIIT Limited, Bangalore

Excellent elaboration on fsimage and edit logs, I have been trying to get a grasp of these topics from a long time. The trainer is very good in explaining the concepts through analogies.

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Gaurab Banerjee
Gaurab Banerjee Risk Control Governance, Bangalore

I like the course content and the simplicity in imparting information. The trainer provides examples and analogies for explaining technical fundamentals.

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Neeraj Arya
Neeraj Arya Team Lead at Unisys Global Services India, Bangalore

Clear explanations, focus is on conceptual knowledge. Hands on experience was really good. Appreciate the attention on individual queries. Thanks Simplilearn.

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    FAQs

    • What are different Job opportunities for Big Data Hadoop experts in Bangalore?

      Candidates have loads of job opportunities in Bangalore in the Big data domain. There are more than 2600 big data jobs posted on Naukri job portal alone. The Big Data certificate allows the candidates to become:

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

    • What is scope for Big Data Hadoop in Bangalore?

      Analytics India Magazine pointed out the rising trend of data-oriented jobs in a report of 2017. As per the estimates of the report, the availability of Big Data jobs in India almost doubled in 2017 with over 50,000 vacancies yet to be accommodated. Considering Indian cities, Bangalore is the city which provides the highest number of analytics jobs. As per estimates, more than 45% of all analytics jobs were created in Bangalore in 2018.

      A staffing solutions company TeamLease calculated that a potential salary of 75 lakhs per annum can be earned by a data scientist of 5 years experience. With the similar experience level, an engineer can earn up to 5-8 lakhs while CAs can earn about 8-15 lakhs. Considering this estimation, it can be concluded that the demand for data professionals is the highest today.

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

      As per the information taken from Naukri, companies like Deloitte, Accenture, SAP Labs, and JPMorgan Chase are hiring Big Data professionals in Bangalore

    • What is the salary for a HADOOP Certified Professional in Bangalore?

      A median salary of 7.5 lakhs is estimated to be earned by a Big Data professional in Bangalore, as per the statistics of Payscale. Moreover, this number can rise up to 27 lakhs per annum for experienced professionals.

    • What are the System Requirements?

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

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

      We offer this training in the following modes:

      We offer this training in the following modes:

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

       

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

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

    • Are there any group discounts for classroom training programs?

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

    • What payment options are available?

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

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

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

    • Who are our faculties and how are they selected?

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

    • What is Global Teaching Assistance?

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

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

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

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

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

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

      Yes, programming background is not a mandate for understanding Hadoop. Keeping that in mind, Simplilearn provides Java and Linux complimentary courses. These courses are designed to revise the candidate’s programming knowledge and assist in understanding Hadoop technologies 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 refers to live streaming interactive video sessions conducted for Big Data Hadoop course certification in Bangalore. We make sure that the trainers allowed to take classes are highly rated with 15+ years of 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 Bangalore Correspondence / Mailing address

    # 53/1 C, Manoj Arcade, 24th Main, 2nd Sector, HSR Layout, Bangalore - 560102, Karnataka, India.

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