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Cloudera Administrator Training for Apache Hadoop Training In Hyderabad India


Cloudera Administrator Training for Apache Hadoop



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.


Duration: 30-35hrs

Course Content:


  • 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 Storag