Hadoop Administration Course Training in Zurich, Switzerland

Deep dive into Hadoop with practical examples and become an expert Hadoop Administrator

  • Get a deeper knowledge of Big data Hadoop and its core components
  • Hands-on Hadoop Admin activities including Cluster Configuration and Monitoring
  • Get experiential knowledge of Hadoop architecture and its ecosystem
  • Learn how to work with CDH and its administration tool Cloudera Manager
  • Projects including banking & government sectors, e-commerce websites, etc

Why learn Hadoop Administration?

Apache Hadoop™ is an effective and dynamic data platform that simplifies and allows for the distributed processing of large data sets across clusters of computers and servers. Hadoop is the perfect choice for organizations that have to deal with the challenges involved in handling vast amounts of structured and unstructured data.  The Hadoop framework is used for analyzing data and helping them to make informed business decisions that are based on the insights gleaned from the data. 

This ever-increasing data and the need to analyse it for favourable business outcomes has in turn increased the demand for professionals skilled in Hadoop and data analysis. A Hadoop Administrator’s primary responsibility is to manage the deployment and maintenance of Hadoop clusters. In other words, a Hadoop admin ensures smooth operation of Hadoop clusters, problem mitigation, safety and improved performance. 
A training in Hadoop Administration will help prepare you for the demands of the industry. New innovations in technology have made it mandatory for IT professionals to be on par with the latest developments. A Hadoop Administrator training will ensure that there is no skill gap between what you know and what the industry wants, thus making you a valuable employee. Furthermore, the demand for data analysts has seen a meteoric rise in the past few years, thus making certified Hadoop Administrators a niche resource. 

Benefits

Hadoop is the perfect solution for the challenges faced by vast amounts of unstructured data that are a goldmine when analysed. Hadoop certification benefits not just the holder but also the organizations who hire them.

A Hadoop Administrator certification benefits an individual in the following ways:

  • Become an in-demand resource who can manage Hadoop clusters and help the organization with big data analysis.
  • The Hadoop Market is expected to reach $99.31 billion by 2022 attaining a 28.5% CAGR. This is great news for those in the data analytics field
  • Exposure to multiple industries like Healthcare, consumer, banking, energy, manufacturing, etc.
  • A Certified Hadoop Administrator can earn an average salary of $123,169 per year as per ZipRecruiter.

Here are some of the reasons why Hadoop administrators can benefit your organization:

  • Efficient and reliable professionals will help to manage large Hadoop clusters in the organization
  • They take care of the day-to-day workings of Hadoop clusters and ensure data safety
  • Excellent knowledge of Hadoop architecture helps to plan Hadoop clusters in an organized way
  • Hadoop administrators make the work safe and secure
  • Hadoop Administrators can help in the maintenance of highly scalable storage platforms

As technologies are becoming more complex and the demand for data processing is on the rise, having a certificate in Hadoop Administration can bring an array of opportunities for you!

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What you will learn

Prerequisites

There are no specific prerequisites for the Hadoop Administration Training, but a basic knowledge of Linux command-line interface will be beneficial.

Who should attend the Hadoop Administration course?

  • DevOps Engineers
  • Architects
  • Project Managers
  • Linux / Unix Administrators
  • Database Administrators
  • Windows Administrators
  • Infrastructure Administrators
  • System Administrators
  • Analytics Professionals
  • Senior IT professionals
  • Data Management Professionals
  • Testing and Mainframe professionals
  • Business Intelligence Professionals
  • Anyone who wants to build the carrier in the Distributed World of Big Data

KnowledgeHut Experience:

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest training!

Learn through Doing

Learn theory backed by practical case studies, exercises, and coding practice. Get skills and knowledge that can be applied effectively.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Real-Time Projects With Industry Standards

Automatic Scaling up the Data Node

Based on the alerts in the cluster, automatically a new datanode should add on the fly when it reaches a limit.

Tool upgradation of Hadoop Ecosystem

Hadoop ecosystem tools installation and upgradation from end to end.

Curriculum

Learning Objective :

Understanding what is Big Data and its solution for traditional Problems. You will learn about  Hadoop and its core components and you will know how to read and write happens in HDFS. You will also know the roles and responsibilities of a Hadoop Administrator.

Topics :

  • Introduction to big data
  • Limitations of existing solutions
  • Common Big Data domain scenarios
  • Hadoop Architecture
  • Hadoop Components and Ecosystem
  • Data loading & Reading from HDFS
  • Replication Rules
  • Rack Awareness theory
  • Hadoop cluster Administrator: Roles and Responsibilities.

Hands-on:

Writing and Reading the Data from hdfs, how to submit the job in Hadoop 1.0 and YARN.

Learning Objectives: 

Understanding different Configuration files and building Hadoop Multi Node Cluster. Differences in Hadoop 1.0 and Hadoop 2.0. You will also get to know the architecture of Hadoop 1.0 and Hadoop2.0(YARN).

Topics

  • Working of HDFS and its internals
  • Hadoop Server roles and their usage
  • Hadoop Installation and Initial configuration
  • Different Modes of Hadoop Cluster.
  • Deploying Hadoop in a Pseudo-distributed mode
  • Deploying a Multi-node Hadoop cluster
  • Installing Hadoop Clients
  • Understanding the working of HDFS and resolving simulated problems.
  • Hadoop 1 and its Core Components.
  • Hadoop 2 and its Core Components.

Hands-on:

Creating Pseudo and Fully Distributed Hadoop Cluster. Changing different configuration Properties while submitting the Jobs and different hdfs admin commands.

Learning Objectives: 

Understanding the various properties of Namenode, Data node, and Secondary Namenode. You will also learn how to add and decommission the data node to the cluster. You will also learn Various Processing frameworks in Hadoop and its Architecture in the context of Hadoop administrator and schedulers.

Topics:

  • Properties of NameNode, DataNode and Secondary Namenode
  • OS Tuning for Hadoop Performance
  • Understanding Secondary Namenode
  • Log Files in Hadoop
  • Working with Hadoop distributed cluster
  • Decommissioning or commissioning of nodes
  • Different Processing Frameworks
  • Understanding MapReduce
  • Spark and its Features
  • Application Workflow in YARN
  • YARN Metrics
  • YARN Capacity Scheduler and Fair Scheduler
  • Understanding Schedulers and enabling them.

Hands-on:

Changing the configuration files of Secondary Namenode. Add and remove the data nodes in a Distributed Cluster. And also Changes Schedulers in run time while submitting the jobs to YARN.

Learning Objectives: 

You will learn regular  Cluster Administration tasks like balancing data in the cluster, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters

Topics: 

  • Namenode Federation in Hadoop
  • HDFS Balancer
  • High Availability in Hadoop
  • Enabling Trash Functionality
  • Checkpointing in Hadoop
  • DistCP and Disk Balancer.

Hands-on:

Works with Cluster Administration and Maintenance tasks. Runs DistCP and HDFS Balancer Commands to get even distribution of the data.

Learning Objectives:

You will learn how to take Backup and recovery of data in master and slaves. You will also learn about allocating Quota to the master and slaves files.

 Topics:

  • Key Admin commands like DFSADMIN
  • Safemode
  • Importing Check Point
  • MetaSave command
  • Data backup and recovery
  • Backup vs Disaster recovery
  • Namespace count quota or space quota
  • Manual failover or metadata recovery.

Hands-on:

Do regular backup using MetaSave commands. You will also run commands to do data Recovery using Checkpoints.

Learning Objective:

You will understand about Cluster Planning and Managing, what are the aspects you need to think about when planning a setup of a new cluster.

 Topics :

  • Planning a Hadoop 2.0 cluster
  • Cluster sizing
  • Hardware
  • Network and Software considerations
  • Popular Hadoop distributions
  • Workload and usage patterns
  • Industry recommendations.

Hands-on:

Setting up a new Cluster and scaling Dynamically. Login to different Hadoop distributions online.

Learning Objectives:

You will get to know about the Hadoop cluster monitoring and security concepts. You will also learn how to secure a Hadoop cluster with Kerberos.

 Topics :

  • Monitoring Hadoop Clusters
  • Authentication & Authorization
  • Nagios and Ganglia
  • Hadoop Security System Concepts
  • Securing a Hadoop Cluster With Kerberos
  • Common Misconfigurations
  • Overview on Kerberos
  • Checking log files to understand Hadoop clusters for troubleshooting.

Hands-on:

Monitor the cluster and also authorization of Hadoop resource by granting tickets using Kerberos.

Learning Objectives:

You will learn how to configure Hadoop2 with high availability and upgrading. You will also learn how to work with the Hadoop ecosystem.

Topics :

  • Configuring Hadoop 2 with high availability
  • Upgrading to Hadoop 2
  • Working with Sqoop
  • Understanding Oozie
  • Working with Hive.
  • Working with Pig.

Hands-on:

Login to the Hive and Pig shell with their respective commands. You will also schedule OOZIE Job.

Learning Objectives:

You will see how to work with CDH and its administration tool Cloudera Manager. You will also learn ecosystem administration and its optimization.

Topics:

  • Cloudera Manager and cluster setup
  • Hive administration
  • HBase architecture
  • HBase setup
  • Hadoop/Hive/Hbase performance optimization.
  • Pig setup and working with a grunt.

Hands-on:

Install CDH and works with Cloudera Manager. Install new parcel in CDH machine.

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FAQS

Hadoop Administration Course

There are no prerequisites to take up Hadoop Administration training, but a basic knowledge of the Linux command line interface will be more helpful to get the Hadoop concepts easily.

Individuals with basic knowledge of Linux can attend. Knowledge of algorithms and other computer science topics is a bonus. Existing knowledge of Hadoop is not required. This training is ideal for:

  • Fresher’s Who Would like to build a career in the Distributed computing World
  • Those who want to learn administration tasks like Hadoop Admin responsibilities
  • DevOps Engineer and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Graduates looking to build a career in Big Data Analytics

The Hadoop Administration training does not have any restrictions although participants would benefit if they’re familiar with basic programming languages.

Workshop Experience

All of the training programs conducted by us are interactive in nature and fun to learn as a great amount of time is spent on hands-on practical training, use case discussions, and quizzes. An extensive set of collaborative tools and techniques are used by our trainers which will improve your online training experience.

The Hadoop Administration training conducted at KnowledgeHut is customized according to the preferences of the learner. The training is conducted in three ways:

  • Online Classroom training: You can learn from anywhere through the most preferred virtual live and interactive training   
  • Self-paced learning: This way of learning will provide you lifetime access to high-quality, self-paced e-learning materials designed by our team of industry experts
  • Team/Corporate Training: In this type of training, a company can either pick an employee or entire team to take online or classroom training. Flexible pricing options, standard Learning Management System (LMS), and enterprise dashboard are the add-on features of this training. Moreover, you can customize your curriculum based on your learning needs and also get post-training support from the expert during your real-time project implementation.

The sessions that are conducted are 30 hours of live sessions, with 60 hours MCQs and Assignments.

Course Duration information:

Online training: 

  • Duration of 15 sessions.
  • 2 hours per day.

Weekend training: 

  • Duration of 4 Weeks.
  • Class held 2 days per week on Saturday,  Sunday.
  • Note: Each session will be of 3 hours.

Corporate training: 

  • Depends on company concerns.

Yes, our lab facility at KnowledgeHut has the latest version of hardware and software and is very well-equipped. We provide Cloudlabs so that you can get a hands-on experience of the features of Hadoop Administration. Cloudlabs provides you with real-world scenarios can practice from anywhere around the globe. You will have an opportunity to have live hands-on coding sessions. Moreover, you will be given practice assignments to work on after your class.

Here at KnowledgeHut, we have Cloudlabs for all major categories like cloud computing, web development, and Data Science.

This Hadoop Administration training course has three projects, viz Automatic Scaling up the Data Node, Tool upgradation of Hadoop Ecosystem

  • Automatic Scaling up the Data Node: Based on the alerts in the cluster, automatically a new datanode should add on the fly when it reaches a limit.
  • Tool upgradation of Hadoop Ecosystem: Hadoop ecosystem tools installation and upgradation from end to end.

The Learning Management System (LMS) provides you with everything that you need to complete your projects, such as the data points and problem statements. If you are still facing any problems, feel free to contact us.

After the completion of your course, you will be submitting your project to the trainer. The trainer will be evaluating your project. After a complete evaluation of the project and completion of your online exam, you will be certified as a Hadoop Administrator.

Online Experience

We provide our students with Environment/Server access for their systems. This ensures that every student experiences a real-time experience as it offers all the facilities required to get a detailed understanding of the course.

If you get any queries during the process or the course, you can reach out to our support team.

The trainer who will be conducting our Hadoop Administration certification has comprehensive experience in developing and delivering Big Data applications. He has years of experience in training professionals in Big Data. Our coaches are very motivating and encouraging, as well as provide a friendly learning environment for the students who are keen about learning and making a leap in their career.

Yes, you can attend a demo session before getting yourself enrolled for the Hadoop Administration training.

All our Online instructor-led training is an interactive session. Any point of time during the session you can unmute yourself and ask the doubts/ queries related to the course topics.

There are very few chances of missing any of the Hadoop Administrator training session at KnowledgeHut. But in case you miss any lecture, you have two options:

  • You can watch the online recording of the session
  • You can attend the missed class in any other live batch.

The online Hadoop Administration course recordings will be available to you with lifetime validity.

Yes, the students will be able to access the coursework anytime even after the completion of their course.

Opting for online training is more convenient than classroom training, adding quality to the training mode. Our online students will have someone to help them any time of the day, even after the class ends. This makes sure that people or students are meeting their end learning objectives. Moreover, we provide our learners with lifetime access to our updated course materials.

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

This will be live interactive training led by an instructor in a virtual classroom.

We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.knowledgehut.com/contact-us

We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.

Finance Related

We accept the following payment options:

  • PayPal
  • American Express
  • Citrus
  • MasterCard
  • Visa

KnowledgeHut offers a 100% money back guarantee if the candidates withdraw from the course right after the first session. To learn more about the 100% refund policy, visit our refund page.

If you find it difficult to cope, you may discontinue within the first 48 hours of registration and avail a 100% refund (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding).  Refunds will be processed within 30 days of receipt of a written request for refund. Learn more about our refund policy here.

Typically, KnowledgeHut’s training is exhaustive and the mentors will help you in understanding the concepts in-depth.

However, if you find it difficult to cope, you may discontinue and withdraw from the course right after the first session as well as avail 100% money back.  To learn more about the 100% refund policy, visit our Refund Policy.

Yes, we have scholarships available for Students and Veterans. We do provide grants that can vary up to 50% of the course fees.

To avail scholarships, feel free to get in touch with us at the following link:
https://www.knowledgehut.com/contact-us

The team shall send across the forms and instructions to you. Based on the responses and answers that we receive, the panel of experts takes a decision on the Grant. The entire process could take around 7 to 15 days


Yes, you can pay the course fee in instalments. To avail, please get in touch with us at https://www.knowledgehut.com/contact-us. Our team will brief you on the process of instalment process and the timeline for your case.

Mostly the instalments vary from 2 to 3 but have to be fully paid before the completion of the course.

Visit the following page to register yourself for the Hadoop Administration Training:

https://www.knowledgehut.com/big-data/hadoop-administration-training/schedule/

You can check the schedule of the Hadoop Administration Training by visiting the following link:

https://www.knowledgehut.com/big-data/hadoop-administration-training/schedule/

We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below: https://www.knowledgehut.com/contact-us

We also have Slack workspace for the corporates to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.


Yes, there will be other participants for all the online public workshops and would be logging in from different locations. Learning with different people will be an added advantage for you which will help you fill the knowledge gap and increase your network.

Have More Questions?

Hadoop Administration Course Course in Zurich

Big Data and Hadoop in Zurich The largest city in Switzerland, Zurich is the centre for all business in the country and banking and finance in the world. Zurich is one of the leading financial sectors worldwide and that creates a need for excellent big data professionals in the country. Hadoop is the most preferred tool for big data development and management and Hadoop administration training online in Zurich by KnowledgeHut gives theoretical and hands-on training by experienced and well-known instructors. What is the course all about? The foundational course for Hadoop administration training and certification in Zurich gives on overview of big data technologies and Hadoop. It intends to provide an understanding of data science, data analysis and working data on Hadoop from the business and technology perspectives. The course content of Hadoop administration certification courses in Zurich is divided into easy modules which have designated hours. Benefits of the course KnowledgeHut?s Hadoop administration training classes in Zurich is provided by professional tutors who conduct tests at the end of sessions and real life simulation to judge the effectiveness of theory. The training is conducted for 3 days and can be attended through virtual and live classrooms. The course will help understand the working of Apache Hadoop and how it can help meet business goals. The training covers all essential systems like Hadoop Distributed File System, MapReduce, Pig, Hive, Sqoop, Hue, HBase and Flume. The hands-on training trains on the practical aspect, teach how to use these systems to fit your companies? technological requirements. The KnowledgeHut Way The KnowledgeHut Hadoop administration classroom training comes at a reasonable cost with the flexibility to choose your date, time, and venue for the training. Moreover, the course doesn?t require any prerequisites for enrolling.