Hadoop Administration certification training



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Big Data and Analytics

Course Curriculum

Learning Objective: In this module, you will understand what big data is and its importance in the market. Also, this course will help analyze the limitations of traditional solutions. Moreover, this course will help you learn the concepts of Big data and Hadoop.  

Topics covered:

  • Introduction to big data

  • Common big data domain scenarios

  • Limitations of traditional solutions

  • What is Hadoop?

  • Hadoop 1.0 ecosystem and its Core Components

  • Hadoop 2.x ecosystem and its Core Components

  • Application submission in YARN

Learning Objective: In this module, you will learn about the distributed file system of Hadoop, its configuration files, and cluster architecture. Moreover, you will gain insights into the roles and responsibilities of a Hadoop administrator. 

Topics covered:

  • Distributed File System

  • Hadoop Cluster Architecture

  • Replication rules

  • Hadoop Cluster Modes

  • Rack awareness theory

  • Hadoop cluster administrator responsibilities

  • Understand the working of HDFS

  • NTP server

  • Initial configuration required before installing Hadoop

  • Deploying Hadoop in a pseudo-distributed mode

Learning Objective: In this module, you will learn to build a Hadoop multi-node cluster and learn about its various properties as well as the Namenode, Databnode, and Secondary Namenode. 

Topics covered:

  • OS Tuning for Hadoop Performance

  • Pre-requisite for installing Hadoop

  • Hadoop Configuration Files

  • Stale Configuration

  • RPC and HTTP Server Properties

  • Properties of Namenode, Datanode, and Secondary Namenode

  • Log Files in Hadoop

  • Deploying a multi-node Hadoop cluster

Learning Objective: In this module, you will learn the addition and removal of nodes to our cluster in Adhoc. You will learn about Cluster administration and its related tasks like balancing data in a cluster, protecting it by enabling trash, attempting a manual fall over, creating a backup for data within or across the cluster network. 

Topics covered:

  • Commissioning and Decommissioning of Node

  • HDFS Balancer

  • Namenode Federation in Hadoop

  • High Availability in Hadoop

  • Trash Functionality

  • Checkpointing in Hadoop

  • Distcp

  • Disk balancer

Learning Objective: In this module, you will learn the various processing frameworks that are a part of Hadoop and its YARN execution flow as well. Moreover, you will learn about schedulers and the Map Reduce programming model. 

Topics covered:

  • Different Processing Frameworks

  • Different phases in Mapreduce

  • Spark and its Features

  • Application Workflow in YARN

  • YARN Metrics

  • YARN Capacity Scheduler and Fair Scheduler

  • Service Level Authorization (SLA)

Learning Objective: In this module, you will gain insights into cluster planning and managing a new cluster. 

Topics covered:

  • Planning a Hadoop 2.x cluster

  • Cluster sizing

  • Hardware, Network and Software considerations

  • Popular Hadoop distributions

  • Workload and usage patterns

  • Industry recommendations

Learning Objective: In this module, you will learn about Hadoop cluster monitoring and security concepts. You will also learn about how to secure a Hadoop cluster with Kerberos. 

Topics covered:

  • Monitoring Hadoop Clusters

  • Hadoop Security System Concepts

  • Securing a Hadoop Cluster With Kerberos

  • Common Misconfigurations

  • Overview on Kerberos

  • Checking log files to understand Hadoop clusters for troubleshooting

Learning Objective: In this module, you will learn about the concepts of Cloudera Hadoop 2.x and its related features. 

Topics covered:

  • Visualize Cloudera Manager

  • Features of Cloudera Manager

  • Build a Cloudera Hadoop cluster using CDH

  • Installation choices in Cloudera

  • Cloudera Manager Vocabulary

  • Cloudera terminologies

  • Different tabs in Cloudera Manager

  • What is the HUE?

  • Hue Architecture

  • Hue Interface

  • Hue Features

Learning Objective: In this module, you will learn about the Pig and Hive, components of the Hadoop ecosystem. 

Topics covered:

  • Explain Hive

  • Hive Setup

  • Hive Configuration

  • Working with Hive

  • Setting a Hive in local and remote metastore mode

  • Pig setup

  • Working with Pig

Learning Objective: In this module, you will learn about HBase and Zookeeper, it's working and installation. 

Topics covered:

  • What is NoSQL Database

  • HBase data model

  • HBase Architecture

  • MemStore, WAL, BlockCache

  • HBase Hfile

  • Compactions

  • HBase Read and Write

  • HBase balancer and hack

  • HBase setup

  • Working with HBase

  • Installing Zookeeper

Learning Objective: In this module, you will learn about a server-based workflow scheduling system, Apache Oozie to manage Hadoop jobs.  

Topics covered:

  • Oozie overview

  • Oozie Features

  • Oozie workflow, coordinator, and bundle

  • Start, End, and Error Node

  • Action Node

  • Join and Fork

  • Decision Node

  • Oozie CLI

  • Install Oozie

Learning Objective: In this module, you will learn about data ingestion tools. 

Topics covered:

  • Types of Data Ingestion

  • HDFS data loading commands

  • Purpose and features of Sqoop

  • Perform operations like Export, Hive Import, Sqoop, & Import

  • Sqoop 2

  • Install Sqoop

  • Import data from RDBMS into HDFS

  • Flume features and architecture

  • Types of flow

  • Install Flume

  • Ingest Data From External Sources With Flume

  • Best Practices for Importing Data

Course Description

CertOcean’s Big data Hadoop online training helps attain the required knowledge about the Hadoop cluster, which includes planning, installation, configuration, through load balancing, testing, and security analysis. With Big Data Hadoop certification, you will practice hands-on in the Hadoop environment to solve real-world challenges. The course curriculum covers all the aspects of Apache Hadoop distribution, helping you to accomplish modern learning and training. 

Given the current amount of data generated by the organizations, it is obvious that the demand for professionals with big data skills will increase in the coming time. Hadoop is a modern big data framework, written in Java, and helps data analysts perform distributed analysis using simple programming models as well. This makes Hadoop Administration Certification a must for you. 

The market for Big data analytics is constantly growing and has quickly translated into a once in a lifetime opportunity for IT professionals who wish to achieve leverage in their career with the required skills. The following are some professionals best suited for this course:

  • Linux / Unix Administrators

  • Database Administrators

  • Windows Administrators

  • Infrastructure Administrators

  • System Administrators

The Big Data Hadoop certification is perfect for professionals who wish to sharpen these skills and become industry certified Big data administrators. With extensive hands-on experience, professionals will accomplish the following skills:

  • Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's job 

  • Plan and Deploy a Hadoop Cluster 

  • Burden Data and Run Applications 

  • Setup and Performance Tuning 

  • Step by step instructions to Manage, Maintain, Monitor, and Troubleshoot a Hadoop Cluster 

  • Bunch Security, Backup, and Recovery 

  • Experiences on Hadoop 2.x, Name Node High Availability, HDFS Federation, YARN, MapReduce v2 

  • Pig, HBase, Oozie, Hcatalog/Hive, and HBase Administration

There are no prerequisites for this Big Data Hadoop certification and anyone can take up this course. However, professionals having work experience in IT Administration, possess a basic understanding of the Linux command-line interface, and proficient in using Hadoop tools will ace this course. 

You need a system with good internet connectivity. In case of any doubt, 24*7 support line with assist with all your queries and questions. 

For all the projects, you can use the lab environment created for the Big Data Hadoop certification training.

This course certification will cover the following projects:

  • Setting up complex Hadoop Cluster with at least 2 Nodes 

  • Making and replicating custom records to Hadoop Distributed File System (HDFS) 

  • Conveying documents to HDFS with custom square sizes 

  • Introducing and designing different Hadoop environment segments 

  • Setting up space-quota projects with different comprehensive boundaries 

  • Arranging rack awareness and discovering rack dispersion through explicit orders 

  • Fastening the Hadoop Cluster utilizing Kerberos


Frequently Asked Questions (FAQs):

Candidates will never miss lectures in CERTOCEAN's Big data Hadoop online training as they have the option to either view the recorded session or to attend the next live batch. 

Our team is with each student 24/7. They need not worry about anything. Just ask your queries about the Big Data Hadoop certification and we will make sure that it gets solved as soon as possible. 

We hope that till now you have seen any of our study clips. And we think that's all because you need not look further as we are good at keeping promises. We promise to enhance your growth in the automation field using Big data Hadoop online training.

Only instructors who are experts in the domain and possess more than 10 years of experience are selected to teach after a stringent and tedious process. After shortlisting, all the instructors undergo a 3 months long training program. 

Most of the Cert Ocean’s learners have reported a hike in their salary and position post the completion of the Big data Hadoop online training. This training is well-recognized in the IT industry and indulges in both practical and theoretical learning. 

We provide support to all the learners even if they have completed their course training way before. Once you have registered with us, we will take care of all your educational needs and demands, resolving all your functional and technical queries. 

CertOcean's Big data Hadoop online training course will assist you throughout the course and help you master the concepts and practical implementation of technology for the course duration. 


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