Course description

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

    The Big Data Hadoop Certification course in Ahmedabad 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 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 in this Big Data Hadoop Online Training Course?

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

    Project 1
    Domain- Banking
    Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.

    Project 2
    Domain- Telecommunication
    Description: A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset has a latitude and longitude of users, which is important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of users with a k-means algorithm.

    For additional practice, we have three more projects to help you start your Hadoop and Spark journey.

    Project 3
    Domain- Social Media
    Description: As part of a recruiting exercise, a major social media company asked candidates to analyze a dataset from Stack Exchange. You will be using the dataset to arrive at certain key insights.

    Project 4
    Domain- Website providing movie-related information
    Description: IMDB is an online database of movie-related information. IMDB users rate movies on a scale of 1 to 5 -- 1 being the worst and 5 being the best -- and provide reviews. The dataset also has additional information, such as the release year of the movie. You are tasked to analyze the data collected.

    Project 5
    Domain- Insurance
    Description: A US-based insurance provider has decided to launch a new medical insurance program targeting various customers. To help a customer understand the market better, you must perform a series of data analyses using Hadoop.

  • What projects are included in this Big Data Hadoop Online Training Course?

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

    Project 1
    Domain- Banking

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

    Project 2
    Domain- Telecommunication

    Description: A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset has a latitude and longitude of users, which is important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of users with a k-means algorithm.

    For additional practice, we have three more projects to help you start your Hadoop and Spark journey.

    Project 3
    Domain- Social Media

    Description: As part of a recruiting exercise, a major social media company asked candidates to analyze a dataset from Stack Exchange. You will be using the dataset to arrive at certain key insights.

    Project 4
    Domain- Website providing movie-related information

    Description: IMDB is an online database of movie-related information. IMDB users rate movies on a scale of 1 to 5 -- 1 being the worst and 5 being the best -- and provide reviews. The dataset also has additional information, such as the release year of the movie. You are tasked to analyze the data collected.

    Project 5
    Domain- Insurance

    Description: A US-based insurance provider has decided to launch a new medical insurance program targeting various customers. To help a customer understand the market better, you must perform a series of data analyses using Hadoop.

     

  • How will Big Data Training help your career?

    The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities. Some trends in big data include: 

    Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research
    Shortage of 1.4 -1.9 million Hadoop Data Analysts in the US alone by 2018– McKinsey
    Hadoop Administrators in the US receive salaries of up to $123,000 – indeed.com

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

    You will use Simplilearn’s CloudLab to complete projects.

  • What is CloudLab?

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

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

Course preview

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

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

    Online Classroom:

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

    Online Self-Learning:

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

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

    There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush up your Core-Java skills, Simplilearn offers a complimentary self-paced course "Java essentials for Hadoop" when you enroll for this course. For Spark, this course uses Python and Scala, and an e-book is provided to support your learning.
     

    Course advisor

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

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

    Reviews

    Mary Deepthi
    Mary Deepthi Manager at Capgemini Technology India Pvt Ltd, Mumbai

    Equipe de treinamento muito paciente e experiente. Aprenda passo a passo com sessões práticas que nos dão uma compreensão profunda. Vídeos adicionais, PDFs e gravações de treinamento nos ajudam de uma maneira excelente. O host e a equipe de suporte são muito proativos e úteis na solução de consultas. Ótimo caminho a percorrer !!! Simplesmente fantástico!

    Read more Read less
    Hema Sivakoti
    Hema Sivakoti Associate Manager at Accenture, Bangalore

    Estou muito satisfeito com a equipe de suporte e a equipe técnica do Simplilearn. Eu costumava obter a atualização de todas as minhas perguntas dentro de um dia e eles costumavam responder todas as minhas perguntas de forma detalhada. Além disso, sugeriram que eu escolhesse o melhor curso de acordo com as últimas tendências. Fiz o treinamento Big Data Hadoop, onde eles explicaram de forma detalhada com exemplos também apoiei muito no esclarecimento de todas as minhas dúvidas quanto à submissão do projeto.

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

    Simplilearn é uma das melhores soluções de baixo custo para aprender online. Eu me inscrevi no curso Big Data Hadoop e Spark Developer. O conteúdo do curso foi muito legal. A certificação me ajudou a conseguir um emprego na Pixere Consulting Pvt Ltd. como Engenheiro de Software.

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

    Eu me inscrevi para Big Data Hadoop e Spark Developer da Simplilearn. O curso foi explicado usando analogias muito simples e em tempo real que me ajudaram a entender os conceitos e também a fazer exercícios com facilidade. O treinador foi realmente prestativo e estava sempre disposto a compartilhar o conhecimento com o público mais amplo. Eu recomendo altamente Simplilearn.

    Read more Read less
    Kaushal Rathore
    Kaushal Rathore Program Manager at Publicis.Sapient, Bangalore

    O curso de Big Data do Simplilearn me preparou com as habilidades para progredir em minha carreira. O curso ajudou-me a melhorar minha carreira de Associado Sênior para Gerente de Operações de Programa na Sapient dentro de um ano após a conclusão do curso.

    Read more Read less
    Priyanka Chouhan
    Priyanka Chouhan Product Integration Engineer at EdgeVerve, Pune

    A experiência geral foi ótima com o Simplilearn. O conteúdo do curso é muito completo e fácil de entender. As aulas on-line são realizadas regularmente com o ótimo instrutor, o que facilita muito a compreensão dos conceitos. Exemplos em tempo real tornam o conteúdo relacionável até mesmo para um leigo. Resolução de consulta mais rápida é fornecida. Eles têm sistema de bilhética de suporte através do qual você pode criar um ticket de suporte para qualquer tipo de consulta para obter uma resposta rápida. Sessões de bate-papo ao vivo também estão disponíveis para obter ajuda em tempo real. Os vídeos do curso são projetados de forma muito interativa e a duração dos vídeos é mínima para mantê-lo interessado no assunto. O recurso de laboratório em nuvem também é ótimo para pessoas que não conseguem instalar o software em suas próprias máquinas. O laboratório em nuvem permite que você conclua suas tarefas e pratique o trabalho sozinho. Informações detalhadas são fornecidas sobre cada tópico e outros materiais do curso também são fornecidos para ajudar na aprendizagem completa. Ao todo, vou sugerir que experimente os cursos oferecidos pela Simplilearn, pois eles são excelentes de acordo com diferentes certificações que são ótimas para a carreira profissional.

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

    O treinamento foi bem conduzido, o instrutor explicou os conceitos do zero, nos fez pensar além da nossa imaginação e isso me deixou mais confiante. Aprendi diferentes soluções usadas no design do Hadoop. Eu recomendo o curso.

    Read more Read less
    Rameshkumar Selvakumar
    Rameshkumar Selvakumar Senior Project Manager, Bangalore

    Excelente centro de aprendizado para treinamentos gerenciais e técnicos. O treinamento do Simplilearn seria o primeiro passo para uma mudança de carreira. Materiais e vídeos de treinamento on-line são ótimos - você pode aprimorar suas habilidades sem participar de uma sessão presencial. Bom trabalho da empresa. Eu estive participando do treinamento de 2014. Eu sinto que o Simplilearn é o meu lugar para melhorar minha carreira.

    Read more Read less
    Anuj Verma
    Anuj Verma Cloud Strategy & PreSales @ Accenture, Bangalore

    Não há dúvida de que a revolução do Big Data no mundo dos negócios causou impacto nas empresas grandes e pequenas. Gigantes multinacionais e startups estão saindo do caminho para incorporar recursos de Big Data. O Big Data e o Treinamento de Certificação para Desenvolvedores do Hadoop da Simplilearn oferecem a você uma oportunidade de começar sua carreira de sonho em Big Data do zero. Sendo um desenvolvedor .Net e tendo pouco conhecimento de Java, me inscrevi no programa Flexi-pass do Big Data e Hadoop Developer Course do Simplilearn. Essa foi minha primeira experiência em e-learning. Os tutoriais em vídeo pré-gravados têm nitidez de vídeo e voz agradável e clara. O sotaque do instrutor é fácil de entender e interpretar. Tópicos difíceis são explicados usando exemplos interessantes da vida real. Pessoal de apoio, back office, corpo docente são bastante responsivos e acessíveis. Este curso é muito viável para os iniciantes e o conteúdo do curso pode ser baixado em qualquer lugar. Eu recomendo este curso para todos os aspirantes a candidatos a big data. Este é um bom ponto de partida para a sua jornada. Além da qualidade das ofertas, o que é excepcional, o preço do curso também o torna rentável.

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

    Os cursos Simplilearn são bem estruturados para atender às exigências do mercado. Eles atualizam constantemente o conteúdo para garantir que os candidatos acompanhem as últimas tendências do mercado. Eu fiz um monte de cursos da Simplilearn e ganhei muito com eles.

    Read more Read less
    Abhishek Jain
    Abhishek Jain UX Designer, Bangalore

    É um ótimo aprendizado com o SimpliLearn. Passei muito tempo na internet, li muitos blogs para identificar a melhor plataforma de treinamento, e depois encontrei o SimpliLearn. Entrei em contato com a equipe de Suporte do SimpliLearn e obtive o programa que estava procurando. Eu completei meu curso e acredite, eu tive uma ótima experiência, aprendi uma nova tecnologia em questão de poucas semanas. Os instrutores são realmente bem informados e forneceram as melhores sessões de treinamento. Pude participar de treinamentos diferentes conduzidos por treinadores diferentes também. Uma das melhores plataformas para aprender qualquer nova tecnologia, devo dizer.

    Read more Read less
    Shakul Mittal
    Shakul Mittal Business Analyst at elth.ai, Bangalore

    Eu me inscrevi para Big Data e Hadoop Developer Course e é incrível. Não apenas o conteúdo, mas a experiência de coaching e os benefícios oferecidos como o acesso ao cloudlab são impressionantes. Obrigado Simplilearn pela incrível experiência! Eu definitivamente recomendarei Simplilearn para Data Science.

    Read more Read less
    Akash Porwal
    Akash Porwal NIIT Limited, Bangalore

    Excelente elaboração em fsimage e edição de logs, venho tentando entender esses tópicos há muito tempo. O treinador é muito bom em explicar os conceitos através de analogias.

    Read more Read less
    Ananth D
    Ananth D Sr. Software Executive at TnQ Books and Journals Pvt Ltd, Chennai

    Experiência prática em tempo real! Os conceitos foram entregues de maneira muito clara, clara e compreensível.

    Srikar Vellanki
    Srikar Vellanki Microsoft Student Associate, Chandigarh

    Tudo é perfeito e maravilhoso. Obrigado. O conteúdo e o planejamento dos lotes tornam o aprendizado incrível.

    FAQs

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

      Big Data jobs in Ahmedabad are present a dime a dozen, which spells good news for professionals. A quick search on Naukri will tell you that over 100+ big data jobs in Ahmedabad 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 Ahmedabad: 

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

    • What is the market trend for Hadoop in Ahmedabad?

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

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

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

      According to Payscale, big data professionals in Ahmedabad can earn an average of 2.5 lakhs per year. However, a big data professional with experience can earn up 4.5 lakhs per annum in Ahmedabad. However, in cities like Bangalore, this can go upto 27 lakhs.

    • What are the System Requirements for the Big Data Hadoop Course in Ahmedabad?

      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 Ahmedabad.

    • 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:

    Big Data Hadoop Certification Training in Ahmedabad, India

    Ahmedabad is a growing metropolitan area and is considered one of the most developed cities in modern India. Textile and automobile are the popular industries in the city. Companies like Vodafone, TCS and Meditax reside here and provide trained professionals plenty of opportunities to grow in their career. Apache Hadoop is a platform that allows you to process and analyze large datasets stored for analysis. After taking Simplilearn’s Hadoop course in Ahmedabad, you will be able to master real-time data processing using tools like Spark. Becoming an expert in Hadoop will enable you to fully understand data in order to be more intelligent about your business. Data scientists have the potential to earn about 19 lakhs a year in India and are in demand throughout the world. Simplilearn is powered by the Apache Software Foundation and offers a Hadoop certification course in Ahmedabad. 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 Ahmedabad Correspondence / Mailing address

    Simplilearn Solutions Pvt Ltd, 101-104, GCP Business Centre, Opp. Memnagar Fire Station, Vijay Cross Road, Ahmedabad - 380014, Gujarat, 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.