Big Data Hadoop Administrator Certification Training

In-Person Classroom

Unfortunately, this training model is not available for this certification

4-days of guaranteed to run in-person training
Access to CP’s study guide designed by industry experts
Exam passing tips and tricks to assist in the exam
2 practice tests to gauge your learning post-training
Application assistance and support by certified staff

~~$ 2499~~

$ 2299

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Live Online Classroom

An online training model with the virtual presence of an instructor

4-days of assured instructor-led online live training
Access to CP’s study guide designed by industry experts
24 PDUs certificate on completion of the training
100% exam pass guarantee in the 1st attempt
Recorded lesson video for post-training learning

~~$ 2299~~

$ 1949

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Online Self-Study

Study at your own pace with the self-study model of learning

180 days of complete access to the complete course
Access to CP’s study guide designed by industry experts
24 PDUs certificate on completion of the training
100% exam pass guarantee in the 1st attempt
Application assistance and support by certified staff

~~$ 1299~~

$ 899

Big Data Hadoop Administrator Certification Training

This course provides you with expertise in maintaining complex Hadoop clusters. This training dive deep into Big Data concepts and how to do the administration roles.

Course Overview

Upskillscert Hadoop Certification training will guide you to gain expertise in maintaining complex Hadoop clusters. Our training will provide you with hands-on preparation for the real-world challenges faced by Hadoop Administrators.

Course Agenda

1. Big Data & Hadoop Introduction

Data & Existing Solutions
Welcome to the world of Big Data—What, Why & Where
Case studies
Hadoop & its Ecosystem
Hadoop Core components
Hadoop & its capabilities

2. HDFS – Hadoop Distributed File System & Hadoop’s Distributions

Gain knowledge on HDFS its internals, working & features
Learn about possibilities without HDFS
Differentiate or find similarities in different distributions of Hadoop.
Identify the requirements to set up a Hadoop cluster

3. Hadoop Cluster Setup & Working with Hadoop Cluster

The need for Cluster Management Solution
Choice of Installation methods—Automated/ Manual
Linux machines setup—Virtualization & Cloud
Hadoop Cluster Setup—Apache Hadoop V2 & Cloudera Distribution of Hadoop (CDH)
Cloudera manager features and capabilities
Working with Hadoop cluster, HDFS & data
Working with management console/ UI ( user interfaces) & Linux terminals
Understand administration scenarios

4. Hadoop Configurations & Daemon Logs

List and describe the files that control Hadoop configuration
Explain how to manage Hadoop configuration with Cloudera Manager
Locate configuration files and make changes
Explain how to deal with stale configurations
Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons
Locate log files generated on hosts
Filter information in log files
Explain how to get diagnostic information from log files

5. Hadoop Cluster Maintenance & Administration

Explain how to add and remove nodes in an ad-hoc way
Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes
Explain how to balance a cluster
List the steps for managing services including adding, deleting, starting, stopping and checking the status of services
Explain the procedure to enable rack awareness
List the steps to add, remove and move role instances and hosts
Cite the challenges faced with the first version of Hadoop
Explain the features in the second version that help overcome the challenges faced in the first version

6. Hadoop Computational Frameworks

Describe the role of computational frameworks
Explain MapReduce concepts
Describe MRv2 on YARN
Explain configuring and understanding of YARN
Describe YARN applications
Describe YARN memory and CPU settings

7. Scheduling—Managing resources via Schedulers

Describe the scheduling concepts
Indentify the Schedulers
Explain the ways to manage resources using Schedulers
Describe FIFO, Fair Scheduler, and Capacity Scheduler
Explain how to configure Schedulers
Explain queue management

8. Hadoop Cluster Planning

Planning Hadoop Cluster
General Planning considerations
Workload and cluster sizing
Making Choices—Hardware, Software & Network
Making Choices—Master/Slave considerations
News from the world—Existing Setups

9. Hadoop Clients & HUE interface

Explain the concepts of Hadoop client, edge nodes, and gateway nodes
Install and configure Hadoop clients
Explain how Hue works
Install and configure Hue
Describe how authentication and authorization is managed in Hue

10. Data Ingestion in Hadoop Cluster

Understand Data Ingestion & its types
Knowing about various data ingestion tools & their capabilities
Understanding how Flume works
Understanding how sqoop works
List some of the services and open-source components that work within the Hadoop ecosystem
List the advantages and key features of Hive
Describe briefly about the components of Hive
Explain how to configure Hive in different modes
Explain the architecture of HBase and cite the advantages of using HBase
Explain the working of Apache Kafka
Describe the architecture of Apache Spark

11. Hadoop Security

Describe the different ways to avoid risks and secure data
Identify the different threat categories
Describe the security aspects for different nodes
Describe operating system security
Describe Kerberos and how it works
Describe Service Level Authorization

12. Securing Hadoop Cluster

Describe cluster monitoring
Describe the ways to choose the right monitoring solutions
List the features and considerations of Cloudera manager for monitoring
Describe the different categories of Hadoop Metrics
List the different types of Hadoop Metrics
List the steps to monitor a cluster by using Cloudera Manager

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Big Data Hadoop Administrator Certification Training

The Upskills training for Big Data Hadoop Administrator equips you with the skills required to become a Big Data Hadoop Administrator.

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