Overview of Course

Our Cloudera Administrator Training: CDP Private Cloud Base course is designed to provide learners with a comprehensive understanding of how to manage and maintain a CDP Private Cloud environment. You will gain hands-on experience with real-world scenarios and learn best practices for administering Cloudera clusters.

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Course Highlights

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Gain a deep understanding of the Cloudera ecosystem

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Learn how to deploy, manage, and monitor clusters using Cloudera Manager

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Understand best practices for administering Cloudera clusters




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Skills You’ll Learn

#1

How to deploy and configure Cloudera Manager

#2

How to deploy and manage a CDP Private Cloud environment

#3

How to monitor and troubleshoot Cloudera clusters

#4

Best practices for securing a Cloudera environment

#5

Understanding of Cloudera's architecture and services

Training Options

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1-on-1 Training

USD 2000 / INR 170000
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

Curriculum

  • Industry Trends for Big Data
  • The Challenge to Become DataDriven
  • The Enterprise Data Cloud
  • CDP Overview
  • CDP Form Factors

  • Installation Overview
  • Cloudera Manager Installation
  • CDP Runtime Overview
  • Cloudera Manager Introduction

  • Overview
  • Configuration Settings
  • Modifying Service Configurations
  • Configuration Files
  • Managing Role Instances
  • Adding New Services
  • Adding and Removing Hosts

  • Overview
  • HDFS Topology and Roles
  • HDFS Performance and Fault Tolerance
  • HDFS and Hadoop Security Overview
  • Working with HDFS
  • HBase Overview
  • Kudu Overview
  • Cloud Storage Overview

  • Data Ingest Overview
  • File Formats
  • Ingesting Data using File Transfer or REST Interfaces
  • Importing Data from Relational Databases with Apache Sqoop
  • Ingesting Data Using NiFi
  • Best Practices for Importing Data

  • Overview of Cloudera Flow Management and NiFi
  • NiFi Architecture
  • Cloudera Edge Flow Management and MiNiFi
  • Controller Services
  • Apache Kafka Overview
  • Apache Kafka Cluster Architecture
  • Apache Kafka Command Line Tools

  • Apache Hive
  • Apache Impala
  • Apache Impala Tuning
  • Search Overview
  • Hue Overview
  • Managing and Configuring Hue
  • Hue Authentication and Authorization
  • CDSW Overview

  • YARN Overview
  • Running Applications on YARN
  • Viewing YARN Applications
  • YARN Application Logs
  • MapReduce Applications
  • YARN Memory and CPU Settings
  • Tez Overview
  • Hive on Tez
  • ACID for Hive
  • Spark Overview
  • How Spark Applications Run on YARN
  • Monitoring Spark Applications
  • Phoenix Overview

  • Configuring cgroups with CPU Scheduling
  • The Capacity Scheduler
  • Managing Queues
  • Impala Query Scheduling
     

  • General Planning Considerations
  • Choosing the Right Hardware
  • Network Considerations
  • CDP Private Cloud Considerations
  • Configuring Nodes

  • Configuring Service Ports
  • Tuning HDFS and MapReduce
  • Managing Cluster Growth
  • Erasure Coding
  • Enabling HDFS High Availability

  • Checking HDFS Status
  • Copying Data Between Clusters
  • Rebalancing Data in HDFS
  • HDFS Directory Snapshots
  • Host Maintenance
  • Upgrading a Cluster

  • Cloudera Manager Monitoring Features
  • Health Tests
  • Events and Alerts
  • Charts and Reports
  • Monitoring Recommendations

  • Overview
  • Troubleshooting Tools
  • Misconfiguration Examples

  • Data Governance with SDX
  • Hadoop Security Concepts
  • Hadoop Authentication Using Kerberos
  • Hadoop Authorization
  • Hadoop Encryption
  • Securing a Hadoop Cluster
  • Apache Ranger
  • Apache Atlas
  • Backup and Recovery

  • CDP Overview
  • Private Cloud Capabilities
  • Public Cloud Capabilities
  • What is Kubernetes?
  • WXM Overview
  • Auto-scaling
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Description

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Target Audience:

  • System administrators
  • IT professionals
  • DevOps engineers
  • Big Data professionals
  • Anyone interested in learning how to manage and administer a Cloudera environment
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Prerequisite:

  • Basic knowledge of Linux command-line interface
  • Basic knowledge of SQL
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Benefits of the course:

  • Gain in-depth knowledge of Cloudera Manager and CDP Private Cloud
  • Hands-on experience with real-world scenarios
  • Learn best practices for administering Cloudera clusters
  • 24/7 access to expert trainers and support
  • Enhance your career prospects as a Cloudera Administrator
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Exam details to pass the course:

  • There is no exam to pass the course. However, learners are expected to complete all the modules and assignments to receive a certificate of completion.
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Certification path:

  • Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Cloudera Certified Administrator for Apache Hadoop CDH4 (CCAH-410)
  • Cloudera Certified Administrator for Apache Hadoop CDH5 (CCAH-500)
  • Cloudera Certified Administrator for Apache Hadoop CDH6 (CCAH-606)
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Career options after doing the course:

  • Cloudera Administrator
  • Hadoop Administrator
  • Big Data Administrator
  • DevOps Engineer

Why should you take this course from Skillzcafe:

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Why should you take this course from Skillzcafe:
  • Bullet Icon Comprehensive course content
  • Bullet Icon Hands-on experience with real-world scenarios
  • Bullet Icon Expert trainers with years of experience in the industry
  • Bullet Icon 24/7 support and access to trainers
  • Bullet Icon Flexible learning options with self-paced learning and instructor-led training

FAQs

Basic knowledge of Linux command-line interface and SQL is recommended.

Yes, you will receive a certificate of completion after finishing all the modules and assignments.

You can pursue a career as a Cloudera Administrator, Hadoop Administrator, Big Data Administrator, or DevOps Engineer.

You will have access to expert trainers and 24/7 support throughout the course.

No, there is no exam to pass the course. However, you are expected to complete all the modules and assignments to receive a certificate of completion.

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