Hadoop Administration Certification Training

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Big Data
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5.0 (1500 satisfied learners)

You will master Hadoop Administration learn different Hadoop components & how to perform administrative activities on top of it. Understanding of Hadoop ecosystem tools

Course Description

This Hadoop Administration training will help you learn Hadoop Admin activities like planning, installation, monitoring, configuration, and performance tuning of large and complex Hadoop clusters. This Hadoop Admin online course will teach you to implement security using Kerberos and Hadoop YARN features using real-life use cases, Cloudera Hadoop 2.0, and you will be mastering the security implementation and Hadoop v2 through industry-level studies.

It is a Java-based programming framework that is open source. This framework is helpful in the processing and storage of massive data sets in a distributed computing environment. The data transfer rates among the nodes are very high and allow the system to continue working if a node fails.

The Hadoop Administration certification course can be done by Information Technology professionals or those who know Java and Linux. It is recommended to learn the basics of Java and Linux if you want to become a Hadoop expert and opt for a career.

This Training will help you harness and sharpen all the Big Data skills needed to become an industry-level practitioner.

While there are no prerequisites for enrolling for the Hadoop certification, it is better to know SL and Core Java, Linux knowledge.

Through this course, you will be learning Hadoop Architecture, HDFS, Hadoop Cluster, and Hadoop Administrator's role Plan and Deploy a Hadoop Cluster, Load Data and Run Applications, Configuration and, Performance Tuning, How to Manage, Maintain, Monitor, and, Troubleshoot a Hadoop Cluster, Cluster Security, Backup, and Recovery, Insights on Hadoop 2. x, Name Node High Availability, HDFS Federation, YARN, MapReduce v2, Pig, HBase, Oozie, Catalog/Hive, and HBase Administration and Hands-On Project.

Hadoop has become interchangeable with Big Data. Hence, companies worldwide are readily adopting Hadoop and Hadoop-based Big Data solutions. Due to the growing investment in Big Data and Data Analytics, the need for professionals with Big Data skills is increasing. As more companies join the Hadoop bandwagon, they create talented Hadoop Administrators.

System requirements are 4 GB of RAM and an i3 processor (or more advanced) to join the course online and learn it successfully.

The best companies globally, including the MNCs of substantial size, need IT professionals who can manage the large amounts of data they need to use or store. The data size can be very overwhelming, and extracting the precise and correct information out of it can be a challenging task. Those who pass the Hadoop certification successfully can achieve the goal relatively quickly. As the Hadoop system is becoming more relevant and ubiquitous every passing week and month, a certificate in this area can bring you much success in the niche.

What you'll learn

  • In this course, you will learn to: Hadoop and Big Data architecture HDFS MapReduce framework Hive Pig Advanced HBase and Hive Advanced HBase Hadoop and Oozie project Processing and distribution of data by the use of Apache Spark

Requirements

  • Prior knowledge of Hadoop is not necessary. Basics of Java and Linux. Linux system administration skills include Linux scripting (Perl / bash). Good troubleshooting skills.

Curriculam

Learn Big Data and analyze the 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.

Introduction to big data
Common extensive data domain scenarios
Limitations of traditional solutions
What is Hadoop?
Hadoop 1.0 ecosystem and its Core Components
Hadoop 2. x ecosystem and it's Core Components
Application submission in YARN

This section teaches you about Hadoop Distributed File System, Hadoop Configuration Files, and Hadoop Cluster Architecture.

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

Know how to build a Hadoop multi-node cluster and understand the various properties of Namenode, Datanode, and Secondary Namenode.

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

This part will teach you how to add or remove nodes to your cluster in adhoc and recommended ways. You will also understand the day-to-day Cluster Administration tasks like balancing data in the set, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters.

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

Learn about the various processing frameworks in Hadoop and understand the YARN job execution flow. You will also learn about multiple schedulers and the MapReduce programming model in the context of Hadoop administrators and schedulers.

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)

In this module, you will understand Cluster Planning and Managing insights and the aspects one needs to think about when planning a new cluster setup.

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

You will be Introduced to the Hadoop cluster monitoring and security concepts.

Monitoring Hadoop Clusters
Hadoop Security System Concepts
Securing a Hadoop Cluster With Kerberos
Common Misconfigurations
Overview on Kerberos

You will discover the Cloudera Hadoop 2. x and its various features.

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

Learn about working and installing Hadoop ecosystem components such as Pig and Hive.

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

You will know about the working and installation of HBase and Zookeeper.

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

This part will learn about Apache Oozie, a server-based workflow scheduling system to manage Hadoop jobs.

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

Study about the different data ingestion tools such as Sqoop and Flume.

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

FAQ

Hadoop is purely open-source and meant to process the more significant data sets found within the computer environment. Hadoop uses inexpensive servers to process the data. Companies and businesses like and prefer the cost-effectiveness model. Other benefits of the programming framework include parallel processing of different kinds of data distributed widely, scalability, optimization of the data localities, support of the larger node clusters, and management of the failovers in an intuitive way.

Hadoop requires knowledge of several programming languages, depending on the role you want it to perform, like, R or Python are relevant for analysis. At the same time, Java is more suitable for development work. However, beginners with a non-IT background or no programming knowledge can learn Hadoop from scratch.

Hadoop Administrator salary in the US is approx $145,000.

Responsibilities of a Hadoop admin include – deploying a Hadoop cluster, maintaining a Hadoop cluster, adding and removing nodes, keeping track of all the running Hadoop jobs, executing, controlling, and administering the overall Hadoop infrastructure. A Hadoop administrator will have to work closely with the database team, network team, BI team, and application teams to ensure that all the big data applications are highly available and performing as expected.

To better understand the course, one must learn as per the curriculum.

Hadoop is the new way of handling big data, and Hadoop certified professionals are required in insurance, healthcare, finance, retail, energy, and many other business segments. The implementation of Hadoop has been tremendously successful, and many IT professionals have changed their career paths to accommodate the new technology. Hadoop is now preferred over Mainframe, Java, and Data warehouses, and in the coming future, the new framework will be the first choice for data analysis and processing.

Hadoop training and Certification have numerous benefits for professional IT professionals and freshers. The Certification is in demand, and the companies are actively looking for candidates who possess the requisite Hadoop Certification and skills. The Hadoop certification gets you both salary and position hikes, and you can earn more than others after passing the course successfully. Those new to the Hadoop framework and environment can pass the Certification and get the skills and knowledge to adopt the framework and its implementation. The training is real-time and helps you process real-world troubles and data; the Certification shows that you possess hands down experience in the desired areas.

CerZip Support Team is for a lifetime and will be available 24/7 to help with your queries during and after the completion of the course.

You will receive CertZip Hadoop Administration Certification Training on completing live online instructor-led classes. After completing the course module, you will receive the certificate.

By enrolling in the Hadoop Administration Training certificate course and completing the module, you can get CertZip Azure training certification.

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Training Course Features

Assessments
Assessments

Every certification training session is followed by a quiz to assess your course learning.

Mock Tests
Mock Tests

The Mock Tests Are Arranged To Help You Prepare For The Certification Examination.

Lifetime Access
Lifetime Access

A lifetime access to LMS is provided where presentations, quizzes, installation guides & class recordings are available.

24x7 Expert Support
24x7 Expert Support

A 24x7 online support team is available to resolve all your technical queries, through a ticket-based tracking system.

Forum
Forum

For our learners, we have a community forum that further facilitates learning through peer interaction and knowledge sharing.

Certification
Certification

Successfully complete your final course project and CertZip will provide you with a completion certification.

Hadoop Administration Certification Training

A Microsoft Hadoop Administration Training certificate is a certification that verifies that the holder has the knowledge and skills required to work with Hadoop technology.

Indeed, one can access the course material available for a lifetime once you have enrolled in the course.

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