Description
Prerequisites
Description
Take your knowledge to the next level with Cloudera’s Apache Hadoop Training
Cloudera University’s four-day administrator training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster using Cloudera Manager. From installation and configuration through load balancing and tuning, Cloudera’s training course is the best preparation for the real-world challenges faced by Hadoop administrators.
Prerequisites
Prerequisites
This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required.
Key Features
- LIVE Instructor-led Classes
- 24x7 on-demand technical support for assignments, queries, quizzes, project, etc.
- Flexibility to attend the class at your convenient time.
- Server Access to Massive's Tech Management System until you get into your dream carrier.
- A huge database of Interview Questions
- Professional Resume Preparation
- Earn a Skill Certificate
- Enroll today and get the advantage.
Curriculum
The Case for Apache Hadoop
- Why Hadoop?
- Fundamental Concepts
- Core Hadoop Components
Hadoop Cluster Installation
- Rationale for a Cluster Management Solution
- Cloudera Manager Features
- Cloudera Manager Installation
- Hadoop (CDH) Installation
The Hadoop Distributed File System (HDFS)
- HDFS Features
- Writing and Reading Files
- NameNode Memory Considerations
- Overview of HDFS Security
- Web UIs for HDFS
- Using the Hadoop File Shell
MapReduce and Spark on YARN
- The Role of Computational Frameworks
- YARN: The Cluster Resource Manager
- MapReduce Concepts
- Apache Spark Concepts
- Running Computational Frameworks on YARN
- Exploring YARN Applications Through the Web UIs, and the Shell
- YARN Application Logs
Hadoop Configuration and Daemon Logs
- Cloudera Manager Constructs for Managing Configurations
- Locating Configurations and Applying Configuration Changes
- Managing Role Instances and Adding Services
- Configuring the HDFS Service
- Configuring Hadoop Daemon Logs
- Configuring the YARN Service
Getting Data Into HDFS
- Ingesting Data From External Sources With Flume
- Ingesting Data From Relational Databases With Sqoop
- REST Interfaces
- Best Practices for Importing Data
Planning Your Hadoop Cluster
- General Planning Considerations
- Choosing the Right Hardware
- Virtualization Options
- Network Considerations
- Configuring Nodes
Installing and Configuring Hive, Impala, and Pig
- Hive
- Impala
- Pig
Hadoop Clients Including Hue
- What Are Hadoop Clients?
- Installing and Configuring Hadoop Clients
- Installing and Configuring Hue
- Hue Authentication and Authorization
Advanced Cluster Configuration
- Advanced Configuration Parameters
- Configuring Hadoop Ports
- Configuring HDFS for Rack Awareness
- Configuring HDFS High Availability
Hadoop Security
- Why Hadoop Security Is Important
- Hadoop’s Security System Concepts
- What Kerberos Is and how it Works
- Securing a Hadoop Cluster With Kerberos
- Other Security Concepts
Managing Resources
- Configuring cgroups with Static Service Pools
- The Fair Scheduler
- Configuring Dynamic Resource Pools
- YARN Memory and CPU Settings
- Impala Query Scheduling
Cluster Maintenance
- Checking HDFS Status
- Copying Data Between Clusters
- Adding and Removing Cluster Nodes
- Rebalancing the Cluster
- Directory Snapshots
- Cluster Upgrading Cluster Monitoring and Troubleshooting
- Cloudera Manager Monitoring Features
- Monitoring Hadoop Clusters
- Troubleshooting Hadoop Clusters
- Common Misconfigurations
Have Any Questions?
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