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At Simplilearn, we greatly value the trust of our patrons. Our courses were designed to deliver an effective learning experience, and have helped over half a million find their professional calling. But if you feel your course is not to your liking, we offer a 7-day money-back guarantee. Just send us a refund request within 7 days of purchase, and we will refund 100% of your payment, no questions asked!

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

Course description

  • What is Big Data Hadoop?

    Big data” means a large volume of structured & Unstructured data that inundates a business on a day-to-day basis. And Apache Hadoop or Hadoop big data is a new way for an enterprise to store and analyze big data. Hadoop is an open-source project administered by the Apache Software Foundation. Hadoop's contributors work for some of the world's biggest technology companies. That diverse, motivated community has produced a genuinely innovative platform for consolidating, combining and understanding large-scale data in order to better comprehend the data deluge. Enterprises today collect and generate more data than ever before. Relational and data warehouse products excel at OLAP and OLTP workloads over structured data. Hadoop is designed to solve a different problem: The fast, reliable analysis of both structured data and complex data. As a result, many enterprises deploy Hadoop alongside their legacy IT systems, which allows them to combine old data and new data sets in powerful new ways. Technically, Hadoop consists of two key services: Reliable data storage using the Hadoop Distributed File System (HDFS) and high-performance parallel data processing using a technique called MapReduce. Hadoop runs on a collection of a commodity, shared-nothing servers. You can add or remove servers in a Hadoop cluster at will; the system detects and compensates for hardware or system problems on any server. Hadoop, in other words, is self-healing. It can deliver data and can run large-scale, high-performance processing jobs in spite of system changes or failures.

  • Why Learn Big Data Hadoop Certification 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 Simplilearn's Big Data Course?

    The Big Data Hadoop Certification course available in Bangalore is designed to give you in-depth knowledge of the Big Data framework using Hadoop or Apache 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 professional of Bangalore for the (CCA175) Cloudera big data developer certification.

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

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

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

    As a part of the big data course, you will be required to execute real-life industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce.  This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification.

  • What skills will you learn with our Big Data Hadoop Certification Training?

    Big Data Hadoop training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. You will learn to:

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

  • What projects are included with this Online Training Course?

    This Hadoop Training course in Bangalore 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 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 Much does Big Data Hadoop Certification Course Costs in Bangalore?

    Simplilearn’s Hadoop training is priced at INR. RS.12999/- for Self Paced Learning and INR Rs.20,999/- for Online Classroom Flexi-Pass.

  • What is the Duration of this Hadoop Certifications Training Course in Bangalore?

    Simplilearn’s Hadoop training has two learning methodologies.

    • One is the Self-paced e-Learning methodology that has a validity of 180 days (6 months) where learners can work at their own pace through high-quality e-learning video modules.
    • The second methodology is the Online Classroom Flexi-Pass that has a validity of 180 days (6 months) of high-quality e-learning videos plus 90 days of access to 12+ instructor-led online training classes.

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

    You will be given access to Simplilearn’s CloudLab to work on 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?

    These are different jobs roles offered in Hyderabad for Big Data Hadoop trained professionals:

    • IT professionals
    • Data scientists
    • Data engineers
    • Data analysts
    • Project managers
    • Program managers

Course preview

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

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

    Here are few Qualifications you must full fill to become eligible for getting globally recognized, accepted simplilearns course completed 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%

  • 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

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

    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 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 many attempts do I have to pass the Big Data Hadoop certification exam offered through Cloudera?

    While Simplilearn provides guidance and support to help learners pass the exam in the first attempt, if you do fail, you will 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 Simplilearn's Certification Exam after completing Big Data Hadoop Certification Course, how soon can I retake it?

    You can re-take it immediately.

  • If I pass the Simplilearn's 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.

Reviews

Hema Sivakoti
Hema Sivakoti Associate Manager at Accenture, Bangalore

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

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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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Mukesh Gunwant
Mukesh Gunwant Program / Project Management professional, Bangalore

Just wanted to share with you all that I am now certified in BIG DATA and HADOOP from Simplilearn. I had submitted my project on Social Media which I completed using HDFS and HIVE and they have approved it and certified me as a "BIG DATA AND HADOOP DEVELOPER". I wish to express my gratitude, and many thanks to the trainer for his excellent coaching and mentoring to enable me to achieve this. A very big thanks to my fellow participants for their constant support and enlightening me with the questions and answers which were followed during the classes.

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Krishnakumar Srinivasan
Krishnakumar Srinivasan Enterprise Information Architect @ Capgemini, Bangalore

Good course and recommended for any one who wants to get a structured view of hadoop world

Rashmin Virangama
Rashmin Virangama Technical Team Lead at IBM India, Bangalore

The course meets expectations. The training was interactive and got all answers for all the queries. Thank you.

Prasanth V
Prasanth V Sr System Analyst, Bangalore

The training provided an insight into Big Data Hadoop. The classes were good and the pace was moderate. The trainer was good and was able to give good theoretical concepts on the Hadoop framework.

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FAQs

  • What are different Big Data Job Opportunities available in & around Bangalore?

    Big Data jobs in Bangalore are present a dime a dozen, which spells good news for professionals. A quick search on Naukri will tell you that over 2600 big data jobs in Bangalore 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 in Bangalore: 

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

  • What is the market trend for Hadoop in Bangalore?

    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. With regard to Indian cities, Bangalore holds the title of having the highest number of analytics jobs in India. In 2017, over 25% of all analytics jobs originated in Bangalore. 

  • What are the Top Companies in the Bangalore City that offers Big Data Jobs?

    Several companies in Bangalore are on the lookout for Big Data professionals. According to Naukri, some of the top companies looking out for big data professionals in Bangalore are JPMorgan Chase, Accenture, SAP Labs, and Deloitte. 

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

    According to Payscale, big data professionals in Bangalore can earn an average of 7.5 lakhs per year. However, a big data professional with experience can earn up 27 lakhs per annum.

  • 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 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?

    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 Bangalore.

  • 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.

    Big Data Hadoop Certification Training in Bangalore, India

    Bangalore, the capital of the state of Karnataka, is popularly known as the “Silicon Valley of India”. This is due to the presence of many of India’s major IT firms, as well as witnessing the growth of many startup companies over the years. Given the high competition in this city, professionals will do well to get certified and get ahead in their careers. Apache Hadoop is a platform that allows you to process and analyze large datasets stored for analysis. After taking Simplilearn’s Hadoop course in Bangalore, you will be able to master real-time data processing using tools like Spark. Becoming an expert in Hadoop will enable you to fully understand data in order to be more intelligent about your business. Data scientists have the potential to earn up to 22 lakhs a year in Bangalore and are in demand throughout the world. Simplilearn is powered by the Apache Software Foundation and offers a Hadoop certification course in Bangalore. If you’re interested in becoming a data scientist, Simplilearn’s learning delivery model combines the personal motivation of live virtual classroom instruction with the reinforcement of relevant practical projects. Our experts will ensure that you understand various aspects of the Hadoop Distributed File System (HDFS). If you ever have any questions about your training, the support of our 24/7 live teaching assistants is another benefit of learning with Simplilearn. Programmers interested in becoming a data scientist need to be proficient in Hadoop. Let Simplilearn help you make the most of your current or future data analysis career with an intensive training course for Hadoop certification.

    Our Bangalore 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.