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Overview
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.
Target Audience
This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required.
Prerequisites
There are no prerequisites for this course.
Course Objectives
Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:
Full Course Outline
The Cloudera Enterprise Data Hub
- Cloudera Enterprise Data Hub
- CDH Overview
- Cloudera Manager Overview
- Hadoop Administrator Responsibilities
Installing Cloudera Manager and CDH
- Cluster Installation Overview
- Cloudera Manager Installation
- CDH Installation
- CDH Cluster Services
Configuring a Cloudera Cluster
- Overview
- Configuration Settings
- Modifying Service Configurations
- Configuration Files
- Managing Role Instances
- Adding New Services
- Adding and Removing Hosts
Hadoop Distributed File System
- Overview
- HDFS Topology and Roles
- Edit Logs and Checkpointing
- HDFS Performance and Fault Tolerance
- HDFS and Hadoop Security Overview
- Web User Interfaces for HDFS
- Using the HDFS Command Line Interface
- Other Command Line Utilities
HDFS Data Ingest
- Data Ingest Overview
- File Formats
- Ingesting Data using File Transfer or REST Interfaces
- Importing Data from Relational Databases with Apache Sqoop
- Ingesting Data From External Sources with Apache Flume
- Best Practices for Importing Data
Hive and Impala
- Apache Hive
- Apache Impala
YARN and MapReduce
- YARN Overview
- Running Applications on YARN
- Viewing YARN Applications
- YARN Application Logs
- MapReduce Applications
- YARN Memory and CPU Settings
Apache Spark
- Spark Overview
- Spark Applications
- How Spark Applications Run on YARN
- Monitoring Spark Applications
Planning Your Cluster
- General Planning Considerations
- Choosing the Right Hardware
- Network Considerations
- Virtualization Options
- Cloud Deployment Options
- Configuring Nodes
Advanced Cluster Configuration
- Configuring Service Ports
- Tuning HDFS and MapReduce
- Enabling HDFS High Availability
Managing Resources
- Configuring cgroups with Static Service Pools
- The Fair Scheduler
- Configuring Dynamic Resource Pools
- Impala Query Scheduling
Cluster Maintenance
- Checking HDFS Status
- Copying Data Between Clusters
- Rebalancing Data in HDFS
- HDFS Directory Snapshots
- Upgrading a Cluster
Monitoring Clusters
- Cloudera Manager Monitoring Features
- Health Tests
- Events and Alerts
- Charts and Reports
- Monitoring Recommendations
Cluster Troubleshooting
- Overview
- Troubleshooting Tools
- Misconfiguration Examples
- Essential Points
Installing and Managing Hue
- Overview
- Managing and Configuring Hue
- Hue Authentication and Authorization
Security
- Hadoop Security Concepts
- Hadoop Authentication Using Kerberos
- Hadoop Authorization
- Hadoop Encryption
- Securing a Hadoop Cluster
Apache Kudu
- Kudu Overview
- Architecture
- Installation and Configuration
- Monitoring and Management Tools
Apache Kafka
- What Is Apache Kafka?
- Apache Kafka Overview
- Apache Kafka Cluster Architecture
- Apache Kafka Command Line Tools
- Using Kafka with Flume
Object Storage in the Cloud
- Object Storage
- Connecting Hadoop to Object Storage