Big Data Hadoop Administration Certification Training

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Big Data Hadoop Administration Certification Training

CertHippo Big Data Hadoop Administrator Certification Training will teach you how to manage complicated Hadoop Clusters. You will study specialized Hadoop Admin operations such as Cluster Planning, Installation, Cluster Configuration, Cluster Monitoring, and Tuning in this Hadoop Admin Course. You will also learn about Cloudera Hadoop 2.0 and grasp the security implementation and Hadoop v2 through industry-level case studies.

Why This Course

The Hadoop Market is estimated to reach $99.31 billion by 2022, increasing at a CAGR of 42.1% from 2015.

According to Indeed.com, the annual compensation range for a Hadoop Administrator is between $104,528 and $141,391.

Hadoop and NoSQL software and services are the market’s most rapidly developing technologies – Technology Research Organisation

Why Enroll In Course?

Big Data Hadoop Administration Certification Training helps individuals gain a deeper understanding of Hadoop architecture, deployment, and management. Certified administrators can help organizations manage and maintain Hadoop clusters, ensure data security and compliance, and optimize cluster performance. The training can improve operational efficiency, reduce costs, and increase business agility while delivering effective big data solutions that meet business needs and align with objectives.

Training Features

Live Interactive Learning

Lifetime Access

24x7 Support

Hands-On Project Based Learning

Industry Recognized Certification

Cloud

Course Curriculum

Understanding Big Data and Hadoop

Learning Objectives: Understand Big Data and analyze limitations of traditional solutions. You will learn about Hadoop and its core components and you will get to know about the difference between Hadoop 1.0 and Hadoop 2.x.

Topics:

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

Hadoop Cluster and its Architecture

Learning Objectives: In this module, you will learn about Hadoop Distributed File System, Hadoop Configuration Files and Hadoop Cluster Architecture. You will also get to know the roles and responsibilities of a Hadoop administrator.

Topics:

Distributed File System
Hadoop Cluster Architecture
Replication rules
Hadoop Cluster Modes
Rack awareness theory
Hadoop cluster administrator responsibilities
Understand working of HDFS
NTP server
Initial configuration required before installing Hadoop
Deploying Hadoop in a pseudo-distributed mode

Hadoop Cluster Setup and Working

Learning Objectives: Learn how to set up a Hadoop multi-node cluster and the differences between Namenda, Data node, and Secondary Namenda.

Topics:

OS Tuning for Hadoop Performance
Prerequisite 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

Hadoop Cluster Administration and Maintenance

Learning Objectives: This lesson will teach you how to add and delete nodes from your cluster in both an ad hoc and suggested manner. You will also grasp day-to-day Cluster Administration chores like data balancing in a cluster, data protection by enabling garbage, manual failover attempts, and backup creation inside or between clusters.

Topics:

Commissioning and Decommissioning of Node
HDFS Balancer
Namenode Federation in Hadoop
High Availability in Hadoop
.Trash Functionality
Checkpointing in Hadoop
Distcp
Disk balancer

Computational Frameworks, Managing Resources and Scheduling

Learning Objectives: Get to know about the various processing frameworks in Hadoop and understand the YARN job execution flow. You will also learn about various schedulers and MapReduce programming models in the context of Hadoop administrators and schedulers.

Topics:

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)

Hadoop 2.x Cluster: Planning and Management

Learning Objectives: In this subject, you will get an understanding of Cluster Planning and Management, as well as the factors to consider while planning the establishment of a new cluster.

Topics:

Planning a Hadoop 2.x cluster
Cluster sizing
Hardware, Network and Software considerations
Popular Hadoop distributions
Workload and usage patterns
Industry recommendations

Hadoop Security and Cluster Monitoring

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

Topics:

Hadoop Cluster Monitoring
Fundamentals of Hadoop Security Systems
Common Misconfigurations When Protecting a Hadoop Cluster Using Kerberos
Kerberos Overview
Examining log files to gain a better understanding of Hadoop clusters for troubleshooting

Cloudera Hadoop 2.x and its Features (Self-paced)

Learning Objectives: In this module, you will learn about the Cloudera Hadoop 2.x and various features of it.

Topics:

Visualize Cloudera Manager
Features of Cloudera Manager
Build Cloudera Hadoop cluster using CDH
Installation choices in Cloudera
Cloudera Manager Vocabulary
Cloudera terminologies
Different tabs in Cloudera Manager
What is HUE?
Hue Architecture
Hue Interface
Hue Features

Pig, Hive Installation and Working (Self-paced)

Learning Objectives: Learn how to use and install Hadoop ecosystem components such as Pig and Hive.

Topics:

Explain Hive
Hive Setup
Hive Configuration
Working with Hive
Setting Hive in local and remote metastore mode
Pig setup
Working with Pig

HBase, Zookeeper Installation and Working (Self-paced)

Learning Objectives: This session will teach you how HBase and Zookeeper function and how to install them.

Topics:

What is NoSQL Database
HBase data model
HBase Architecture
MemStore, WAL, BlockCache
HBase Hfile
Compactions
HBase Read and Write
HBase balancer and hbck
HBase setup
Working with HBase
Installing Zookeeper

Understanding Oozie (Self-paced)

Learning Objectives: This module will teach you about Apache Oozie, a server-based workflow scheduling solution for managing Hadoop processes.

Topics:

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

Data Ingestion using Sqoop and Flume (Self-paced)

Learning Objectives: Learn about the different data ingestion tools such as Sqoop and Flume.

Topics:

Types of Data Ingestion
HDFS data loading commands
Purpose and features of Sqoop
Perform operations like, Sqoop Import, Export and Hive 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

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Certification

CertHippo Certification Process:

You will be granted CertHippo Big Data and Hadoop certificate once you have successfully finished your project (as reviewed by CertHippo specialists).
CertHippo certification is widely recognized in the industry, and we are the chosen training partner for many multinational corporations, including Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNY Mellon, and others. Please be certain.

Online Training FAQs

What if I miss this Online Hadoop Admin Course?

With CertHippo, you will never miss a lecture! You can select one of two options:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

What if I have queries after I complete this Hadoop Admin course ?

Your access to the Support Team is permanent and available 24 hours a day, seven days a week. Throughout and after the Hadoop Admin training course, the staff will assist you in addressing questions.

Is the course material accessible to the students even after the course training is over?

Absolutely, if you enroll in the course, you will have lifetime access to the course materials.

Can I attend a demo session before enrollment?

To maintain the Quality Standards, we have a restricted number of participants in a live session. As a result, without enrolment, it is not possible to participate in a live class. But, you may listen to a sample class recording to get a sense of how the lessons are run, the quality of the teachers, and the degree of engagement in a class.

Who are the instructors?

All of the teachers at CertHippo are industry practitioners with at least 10-12 years of relevant IT experience. These are subject matter experts who have been educated by CertHippo to provide participants with an amazing learning experience.

Course Description

About Hadoop Administrator Certification Course

CertHippo Hadoop Admin Certification Course prepares you to administer and maintain a Hadoop Cluster, including planning, installation, and configuration to load balancing, security, and tuning. CertHippo course will give hands-on preparation for Hadoop Administrators’ real-world issues. The training content is based on the Apache Hadoop distribution.

What are the skills that you will be learning with CertHippo Hadoop Administration Training?

By giving advice from an industry level professional, Hadoop administrator Certification Training will help you grasp and improve all of the Big Data abilities necessary to become an industry level practitioner. You will obtain the following abilities via extensive hands-on experience and industry level projects:

Hadoop Architecture, HDFS, Hadoop Cluster, and the Role of the Hadoop Administrator
Load Data and Launch Apps after Planning and Deploying a Hadoop Cluster
Configuration and Performance Optimization
Cluster Security, Backup, and Recovery: How to Manage, Maintain, Monitor, and Troubleshoot a Hadoop Cluster
Hadoop 2.x insights, Name Node High Availability, HDFS Federation, YARN, MapReduce v2 Pig, HBase, Oozie, Hcatalog/Hive, and HBase Administration and Hands-On Project

Why should you go for a Hadoop Admin Course ?

Every second, over petabytes of data are created all around the world. With the volume of data created, it is clear that Big Data Skills are in great demand right now. Hadoop, a Java-based big data platform, assists data analysts in doing distributed data analysis through the use of simple programming concepts (MapReduce, YARN, HDFS). As a result, professionals with Big Data Analytics abilities who are adept with the Hadoop platform are hired first, with salaries ranging from $110,000 to $130,000.

Who should go for a Big Data Hadoop Admin Training Course ?

The global market for Big Data analytics is expanding at a rapid pace, creating an excellent opportunity for any IT professionals with the necessary capabilities. CertHippo Hadoop Admin Certification Training enables you to capitalize on this opportunity and advance your career. It is most appropriate for:

Linux / Unix Administrators
Database Administrators
Windows Administrators
Infrastructure Administrators
System Administrators

What are the prerequisites for this Hadoop Admin Certification Course ?

There are no prerequisites for the Hadoop Administrator Training Course, however basic understanding of the Linux command line interface is recommended. CertHippo also provides a complimentary self-paced course on “Linux Basics” to all Hadoop Admin course participants to guarantee that you do not miss anything.

Projects

What are the system requirements for this Hadoop Administrator Certification Training ?

Your system should have at least 8GB of Memory and an i3 CPU or higher.

How will I execute the Practical in this Hadoop Admin Training Course?

We will assist you in setting up a virtual machine on your system for your practical work. 8GB RAM is required for VM installation. In addition, our experienced support team will be accessible to you 24 hours a day, 7 days a week to answer any questions you may have.

Which case-studies will be a part of Hadoop Administration Certification Training?

Throughout the course, you will be working on a variety of live projects that are inspired by real-world industry challenges in the Big Data field. These projects comprise the following activities:

Setting up a complicated Hadoop Cluster with at least two nodes
Custom file creation and copying to Hadoop Distributed File System (HDFS)
Using custom block sizes to deploy files to HDFS
Configuring and installing different Hadoop ecosystem components
Creating space-quota projects with a variety of holistic characteristics
Setting rack awareness and determining rack dispersion using particular instructions
Kerberos-based Hadoop Cluster Security