AADS Education is a globally recognized and accredited training organization. Our Big Data Hadoop Administration training course is an experiential program to develop knowledge and skills through practical examples. At the end of the training program you will become an expert in maintaining large and complex Hadoop Clusters including Planning, Installation, Configuration, Monitoring and performance Tuning and security.

  • 40 hrs of Extensive training on Hadoop Administration
  • End of each session assignment on Technical aspects will be provided along with Interview Questions
  • This training covers Apache hadoop, Cloudera distribution, Horton Work developer platform distribution (HDP)
  • Real-time troubleshooting issues with the thought
  • Presentation of concepts Code, Walk-thru Live demonstrations Hands-on lab
  • 30 % Theory, 70% Lab with Real-Time Hands-on experience
  • Will have practical session and LAB during the training
  • Discussions on real-time scenarios, Course completion certificate
  • By completing our training program you will be able to clear Cloudera certification
  • Trainer having 16+ years of IT Experience with multiple domain exposure and 5+ years in Big Data Hadoop technologies
  • Trainer will provide guidelines and support to setup required software on your own system for practice purpose
  • Softcopy Course material will be provided (no additional charges)
100% Money back Guarantee

In case if you are not happy with the trainer, report us within 3 hours of the start of the classes / sessions, we will refund your fee completely, no questions asked.

AADS Education is a globally recognized and accredited training organization. Our Big Data Hadoop Administration training course is an experiential program to develop knowledge and skills through practical examples. At the end of the training program you will become an expert in maintaining large and complex Hadoop Clusters including Planning, Installation, Configuration, Monitoring and performance Tuning and security.

  • 40 hrs of Extensive training on Hadoop Administration
  • End of each session assignment on Technical aspects will be provided along with Interview Questions
  • This training covers Apache hadoop, Cloudera distribution, Horton Work developer platform distribution (HDP)
  • Real-time troubleshooting issues with the thought
  • Presentation of concepts Code, Walk-thru Live demonstrations Hands-on lab
  • 30 % Theory, 70% Lab with Real-Time Hands-on experience
  • Will have practical session and LAB during the training
  • Discussions on real-time scenarios, Course completion certificate
  • By completing our training program you will be able to clear Cloudera certification
  • Trainer having 16+ years of IT Experience with multiple domain exposure and 5+ years in Big Data Hadoop technologies
  • Trainer will provide guidelines and support to setup required software on your own system for practice purpose
  • Softcopy Course material will be provided (no additional charges)
Get 30% off !!! on Hadoop Administration Training Fee

Big Data Hadoop Administrator Certification Training Course

The objective of this training program is to convert a layman into Big Data Hadoop Professional. During the course you will learn from basic to advance concepts of Big Data Hadoop. Setup a minimum 4 Node Hadoop Cluster, Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:

  • Apache Ambari, Cloudera Manager features that make managing your clusters easier, such as aggregated logging, configuration management, resource management, reports, alerts, and service management.
  • The internals of YARN, MapReduce, Spark, Kafka, Storm and HDFS
  • Determining the correct hardware and infrastructure for your cluster
  • Proper cluster configuration and deployment to integrate with the data center
  • How to load data into the cluster from dynamically-generated files using Flume and from RDBMS using Sqoop
  • Configuring the FairScheduler to provide service-level agreements for multiple users of a cluster
  • Best practices for preparing and maintaining Apache Hadoop in production
  • Troubleshooting, diagnosing, tuning, and solving Hadoop issues
  • Advanced topics in real time event processing using Apache Kafka, Storm, NiFi

Who Should Attend Hadoop Administration Training?

There is no strict prerequisite to start learning Hadoop administration. This course is best suited who have basic Unix/Linux fundamentals. Prior knowledge of Apache Hadoop is not required.

  • Linux / Unix Administrator
  • Database Administrator
  • Windows Administrator
  • Infrastructure Administrator
  • System Administrator
  • Support engineers
  • Big Data Architects
  • IT Managers
  • Freshers can easily jump their career into Hadoop / Big Data

Benefits of Learning Hadoop Administration Training

  • Get Paid Higher Than What Your Earning Now Hadoop Administrators on average get paid 30% more. Hadoop job market is expected to grow 25 times by 2020.
  • Better Career Opportunities: The requirement for processing zettabytes of unstructured big data is generating demand for professionals with Hadoop skills to work with unstructured data. Career opportunities for Hadoop professionals are emerging across various business industries, from financial firms to retailers, healthcare, agriculture, sports, energy, utility and media.
  • During Internal Job Postings, Hadoop Skills helps you move up the ladder and accelerates your career in existing organization.
  • Within three to five years, half of the world’s data will be processed on Hadoop……there will be huge demand for thousands and thousands of individuals who are trained in Hadoop" Said By : Bob Mahan (Senior Director of Worldwide Field Services).
  • Large companies who are hiring Hadoop Administrators are Cisco, HP, Tata, LinkedIn, Oracle, ebay, IBM, Amazon, Google, Microsoft, Yahoo and many more.
  • Course Outline

    Introduction to Apache Hadoop

    The Case for Apache Hadoop

    • Why Hadoop is needed
    • What problems Hadoop solves
    • What comprises Hadoop and the Hadoop Ecosystem

    HDFS

    • What features HDFS provides
    • How HDFS reads and writes files
    • How the NameNode uses memory
    • How Hadoop provides file security
    • How to use the NameNode Web UI
    • How to use the Hadoop File Shel

    Getting Data Into HDFS

    • How to import data into HDFS with Flume
    • How to import data into HDFS with Sqoop
    • What REST interfaces Hadoop provides
    • Best practices for importing data

    MapReduce

    • What MapReduce is
    • What features MapReduce provides
    • What the basic concepts of MapReduce are
    • What the architecture of MapReduce is
    • What featurs MapReduce version 2 provides
    • How MapReduce handles failure
    • How to use the JobTracker Web UI
    Planning, Installing, and Configuring a Hadoop Cluster

    Planning Your Hadoop Cluster

    • What issues to consider when planning your Hadoop cluster
    • What types of hardware are typically used for Hadoop nodes
    • How to optimally configure your network topology
    • How to select the right operating system and Hadoop distribution
    • How to plan for cluster management

    Hadoop Installation and Initial Configuration

    • The different installation configurations avaialable in Hadoop
    • How to install Hadoop
    • How to specify Hadoop configuration
    • How to configure HDFS
    • How to configure MapReduce How to locate and configure Hadoop log files

    Installing and Configuring Hive, Impala,and Pig

    • Hive features and basic configuration
    • Impala features and basic configuration
    • Pig features and installation

    Hadoop Clients

    • What Hadoop clients are
    • How to install and configure Hadoop clients
    • How to install and configure Hue
    • How Hue authenticates and authorizes user access

    Advanced Cluster Configuration

    • Advanced Configuration Parameters
    • Configuring Hadoop Ports
    • Explicitly including and Excluding Hosts
    • Configuring HDFS for Rack Awareness
    • Configuring HDFS High Availability

    Hadoop Security

    • Why security is important for Hadoop
    • How Hadoop's security model evolved
    • What Kerberos is and how it relates to Hadoop
    • What to consider when securing Hadoop
    Cluster Operations and Maintenance

    Managing and Scheduling Jobs

    • How to view and stop jobs running on a cluster
    • The options available for scheduling Hadoop jobs
    • How to configure the Fair Scheduler

    Cluster Maintenance

    • How to check the status of HDFS
    • How to copy data between clusters
    • How to add and remove nodes
    • How to rebalance the cluster
    • How to upgrade your cluster

    Cluster Maintenance and Troubleshooting

    • What general system conditions to monitor
    • How to monitor a Hadoop cluster
    • Some techniques for troubleshooting problems on a Hadoop cluster
    • Some common misconfigurations, and their resolutions
    Security and HDFS Federation

    Kerberos Configuration

    • What are the phases required for a client to access a service
    • Kerberos Client Commands
    • Configuring HDFS Security
    • Configuring MapReduce Security
    • Troubleshooting Hadoop Security

    Configuring HDFS Federation

    • What is HDFS Federation
    • Benefits of HDFS Federation
    • How HDFS Federation works
    • Federation Configuration
    ADVANCED TOPICS (Real Time Event Processing)

    APACHE SPARK

    • What is Spark
    • How Spark works
    • Spark Use Cases
    • Installing and configuring Spark
    • Real time event processing with Spark

    APACHE KAFKA

    • What is Kafka
    • How Kafka works
    • Installing and configuring kafka
    • Real time event processing with Kafka.

    APACHE STORM

    • What is Storm
    • How Storm works
    • Installing and configuring Storm
    • Real time event processing with Storm

Lab or how to do Practical

  • Practical Set Up: We will help you set up a 4 virtual machines in your system. For VM installation, 8GB RAM is required. You can also create an account with AWS EC2 and use cloud servers. This is the most preferred option currently as most of the deployments are happening over the cloud and we provide you a step-by-step procedure guide which is available in the Lab Manual. In case if you don’t have the system we will give you remote access to the server and you can practice on our server.

About the Trainers

An astute professional with more than 16+ years of total IT experience in Big Data Hadoop, Cassandra, SAP Hana, Sap Data Services, Siebel and Java .

  • Currently Working as a Technical Architect/Manager
  • 5 years of Experience in Big Data technologies
  • Trained more than 150 batches in big data, both online and class room.
  • Nearly 2 years of experience in NoSQL Databases like Cassandra and work experience in writing applications on Cassandra.
  • Extensive experience as Big Data Architect and Big Data Analyst
  • Hadoop Administrator and Data Analyst - Trained from Cloudera
  • Responsible for implementation and ongoing administration of Hadoop infrastructure.
  • Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments.
  • Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users.
  • Cluster maintenance as well as creation and removal of nodes
  • Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
  • Screen Hadoop cluster job performances and capacity planning
  • Monitor Hadoop cluster connectivity and security
  • Manage and review Hadoop log files.
  • File system management and monitoring.
  • HDFS support and maintenance.
  • Experience in using various Hadoop infrastructures such as MapReduce, Pig, Hive, ZooKeeper, HBase, Sqoop, Oozie, Flume and spark for data storage and analysis
  • Experience in Spark and Scala
  • Experience in Cassandra Data Modeling, Administration, Operations and Performance Tuning
  • DataStax Cassandra University certified.
  • Excellent understanding of Cassandra Architecture and underlying framework.
  • Extensive Experience in Cassandra schema design and modeling
  • Deploying multi-data center functionality, diagnose and resolve common production problems.
  • Impact of Data Model, Workload Characteristics, Environment tuning like JVM Tools and tuning stratExperience in implementing Data Model and CQLegies and Compaction.
  • Excellent understanding of Hadoop architecture and underlying framework including storage management.
  • Experienced in running query using Impala and used Tableau to run ad-hoc queries directly on Hadoop.
  • Good experience in Oozie Framework and Automating daily import jobs.
  • Experienced in troubleshooting errors in HBase Shell/API, Pig, Hive and MapReduce.
  • Experienced in importing and exporting data between HDFS and Relational Database Management systems using Sqoop.
  • Collected logs data from various sources and integrated into HDFS using Flume.
  • Good experience in Generating Statistics/extracts/reports from the Hadoop.
  • Good knowledge in Apache Spark Concepts like Spark and the Hadoop Ecosystem,Spark and MapReduce, Resilient Distributed Datasets (RDDs) etc.
  • Good knowledge in Apache Spark Concepts
  • Good Knowledge in Amazon AWS concepts like EMR and EC2 web services which provides fast and efficient processing of Big Data.
  • Experienced in Identifying improvement areas for systems stability and providing end‐end high availability architectural solutions.

Feedback from our Participants

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Mohammad Salman Khan
Hyderabad, Big Data Hadoop Development

It was a good experience with the Trainer and AADS Education. The Trainer was really well with the subject, clarifying with the doubts. This training helped me for my career growth.

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Tapan Kumar Swain
Hyderabad, Big Data Hadoop Development

The trainer was very awesome and very helpful,understand the process and learning

testimonial-thumb-1

C.V Bharini
Hyderabad, Big Data Hadoop Development

The trainer and the material provided are very good.

Why Aads Education ?

  • Excellent Customer and after sales support
  • Global Experience of 16 years in the field of Education, IT, Management Services and Media
  • Collaboration with Global Giants in the field of Education
  • Award Winning Training organization
  • We operate in multiple countries
  • We offer both Online and Classroom trainings
  • We constantly upgrade our courseware, staff, facilities, trainers and we follow the latest trends of the market so that we can offer you the best and latest
  • We assist our participant in placements through our HR consultants and have tie up with large organization
  • Our Professional trainers and mentors are industry experts
  • Our ultimate goal through the training programs is to build high value and high end professionalism in every individual

Professionals participated from

Course Outline

Introduction to Apache Hadoop

  • The Case for Apache Hadoop
  • HDFS
  • Getting Data Into HDFS
  • MapReduce

Planning, Installing, and Configuring a Hadoop Cluster

  • Planning Your Hadoop Cluster
  • Hadoop Installation and Initial Configuration
  • GInstalling and Configuring Hive, Impala,and Pig
  • Hadoop Clients
  • Advanced Cluster Configuration
  • Hadoop Security

Cluster Operations and Maintenance

  • Managing and Scheduling Jobs
  • Cluster Maintenance
  • Cluster Maintenance and Troubleshooting

Security and HDFS Federation

  • Kerberos Configuration
  • Configuring HDFS Federation
AdvanceE Topics (Real Time Event Processing)

APACHE SPARK

  • What is Spark
  • How Spark works
  • Spark Use Cases
  • Installing and configuring Spark
  • Real time event processing with Spark

APACHE KAFKA

  • What is Kafka
  • How Kafka works
  • Installing and configuring kafka
  • Real time event processing with Kafka.

APACHE STORM

  • What is Storm
  • How Storm works
  • Installing and configuring Storm
  • Real time event processing with Storm
About the Trainers
  • Currently Working as a Technical Architect/Manager
  • 5 years of Experience in Big Data technologies
  • Trained more than 150 batches in big data, both online and class room.
  • Nearly 2 years of experience in NoSQL Databases like Cassandra and work experience in writing applications on Cassandra.
  • Extensive experience as Big Data Architect and Big Data Analyst
  • Hadoop Administrator and Data Analyst - Trained from Cloudera
  • Responsible for implementation and ongoing administration of Hadoop infrastructure.
  • Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments.
  • Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users.
  • Cluster maintenance as well as creation and removal of nodes
  • Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
  • Screen Hadoop cluster job performances and capacity planning
  • Monitor Hadoop cluster connectivity and security
  • Manage and review Hadoop log files.
  • File system management and monitoring.

Professionals Participated from

Who Should Attend?

There is no strict prerequisite to start learning Hadoop administration. This course is best suited who have basic Unix/Linux fundamentals. Prior knowledge of Apache Hadoop is not required.

  • Linux / Unix Administrator
  • Database Administrator
  • Windows Administrator
  • Infrastructure Administrator
  • System Administrator
  • Support engineers
  • Big Data Architects
  • IT Managers
  • Freshers can easily jump their career into Hadoop / Big Data
Benefits of learning Hadoop Administration
  • Get Paid Higher Than What Your Earning Now Hadoop developers on average get paid 30% more. Hadoop job market is expected to grow 25 times by 2020.
  • Better Career Opportunities: The requirement for processing zettabytes of unstructured big data is generating demand for professionals with Hadoop skills to work with unstructured data. Career opportunities for Hadoop professionals are emerging across various business industries, from financial firms to retailers, healthcare, agriculture, sports, energy, utility and media.
  • During Internal Job Postings, Hadoop Skills helps you move up the ladder and accelerates your career in existing organization.
  • Within three to five years, half of the world’s data will be processed on Hadoop……there will be huge demand for thousands and thousands of individuals who are trained in Hadoop" Said By : Bob Mahan (Senior Director of Worldwide Field Services).
  • Large companies who are hiring Hadoop Developers are Cisco, HP, Tata, LinkedIn, Oracle, ebay, IBM, Amazon, Google, Microsoft, Yahoo and many more.
Why Aads Education?
  • Excellent Customer and after sales support
  • Global Experience of 16 years in the field of Education, IT, Management Services and Media
  • Collaboration with Global Giants in the field of Education
  • Award Winning Training organization
  • We operate in multiple countries
  • We offer both Online and Classroom trainings
  • We constantly upgrade our courseware, staff, facilities,trainers and we follow the latest trends of the market so that we can offer you the best and latest
  • We assist our participant in placements through our HR consultants and have tie up with large organization
  • Our Professional trainers and mentors are industry experts
  • Our ultimate goal through the training programs is to build high value and high end professionalism in every individual
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