INSTRUCTOR-LED COURSE
Cloudera Administrator Training For Apache Hadoop (HADOOP-ADMIN)
Course Information
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ALL DATES GUARANTEED
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
COURSE DELIVERY OPTIONS
- Live Classroom
Train face-to-face with the live instructor.
- Established HD-ILT Location
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you.
- Virtual Remote
Attend the live class from the comfort of your home or office.
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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.
Prerequisites:
There are no prerequisites for this course.
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.
Course Objectives:
Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:
- Cloudera Manager features that make managing your clusters easier, such as aggregated logging, configuration management, resource management, reports, alerts, and service management
- Configuring and deploying production-scale clusters that provide key Hadoop-related services, including YARN, HDFS, Impala, Hive, Spark, Kudu, and Kafka
- Determining the correct hardware and infrastructure for your cluster
- Proper cluster configuration and deployment to integrate with the data center
- Ingesting, storing, and accessing data in HDFS, Kudu, and cloud object stores such as Amazon S3
- How to load file-based and streaming data into the cluster using Kafka and Flume
- Configuring automatic resource management to ensure service-level agreements are met for multiple users of a cluster
- Best practices for preparing, tuning, and maintaining a production cluster
- Troubleshooting, diagnosing, and solving cluster issues
Course Outine:
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