• Hadoop Advanced Administration training

  • Group Training

    During this training you will get to work hands-on. You are going to set up your own environment with Hadoop, HDFS and MapReduce.

    Training code
    CGAHAD-ACE
    Spoken Language
    English
    Language Materials
    English
    Dayparts
    8
    Price
    €3.495,00
    excl. VAT No extra costs.

    Book Hadoop Advanced Administration now

    This course will mostly take place in a group setting. We use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken Language on the left for language info.

    This course currently isn't planned. Please fill in your contact details below and we'll get in touch with you within two working days.

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    What is Hadoop Advanced Administration

    Apache Hadoop lets you save and analyze large amounts of unstructured, but also structured data. Among other things, Hadoop uses MapReduce, Distributed File System (HDFS) and NoSQL.
    Hadoop helps you to quickly and efficiently connect and analyze data without having to structure everything first. This gives your organization the right and deeper insights.
    During this training you will work hands-on. You set up your own environment with Hadoop, HDFS and MapReduce, so it is also necessary that you have a laptop on which you can install the necessary software.

     

    Who should attend the Hadoop Advanced Administration

    This training is for anyone who wants to work with Hadoop and already has (administrator ) experience in this area. For example, you work in a role as an administrator or developer in a Big Data environment and you can name most of the components.
    In order to participate in the training you must have a good proficiency in using Linux. During the training you make use of Linux virtual machines for performing assignments. Knowledge of Linux is considered as given.

    Prerequisites

    Advanced knowledge of Linux

    Objectives

    The aim of this training is to ensure that you understand the operation and interactions of important Big Data components, to systematically diagnose and solve operational problems in a production environment.

     
    Incompany

    During this training you will get to work hands-on. You are going to set up your own environment with Hadoop, HDFS and MapReduce.

    Training code
    CGAHAD-ACE
    Spoken Language
    English
    Language Materials
    English
    Dayparts
    8
    Price
    €3.495,00
    excl. VAT No extra costs.

    With an Incompany training you have several advantages:

    - You choose the location
    - You experience the training with your colleagues, so it is always in line with your practice
    - The trainer can tailor explanations, examples and assignments to your organization
    - In consultation exercises can be adapted to organization-specific questions

    Request more information or a quote.

     

    What is Hadoop Advanced Administration

    Apache Hadoop lets you save and analyze large amounts of unstructured, but also structured data. Among other things, Hadoop uses MapReduce, Distributed File System (HDFS) and NoSQL.
    Hadoop helps you to quickly and efficiently connect and analyze data without having to structure everything first. This gives your organization the right and deeper insights.
    During this training you will work hands-on. You set up your own environment with Hadoop, HDFS and MapReduce, so it is also necessary that you have a laptop on which you can install the necessary software.

     

    Who should attend the Hadoop Advanced Administration

    This training is for anyone who wants to work with Hadoop and already has (administrator ) experience in this area. For example, you work in a role as an administrator or developer in a Big Data environment and you can name most of the components.
    In order to participate in the training you must have a good proficiency in using Linux. During the training you make use of Linux virtual machines for performing assignments. Knowledge of Linux is considered as given.

    Prerequisites

    Advanced knowledge of Linux

    Objectives

    The aim of this training is to ensure that you understand the operation and interactions of important Big Data components, to systematically diagnose and solve operational problems in a production environment.

     
  • Related

    Fields of Expertise
    Data Analytics
     
  • e-CF competences with this course

     

    At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.

    e-Competence Level12345
    B.2.Component Integration     
    D.10.Information and Knowledge Management