Hadoop Admin Online TrainingNIT Manager
About Hadoop Admin Online Training
Hadoop Admin Course Objectives
After completion of the Hadoop Course at Naresh I technologies, you will be expertise and eligible for:
- Complete knowledge of Hadoop Architecture and End-to-End flow using multiple components.
- Understand the fundamental concept.
- Installation and Configuration of Hadoop.
- Understand maintenance.
- Understand HDFS features.
- Able to do Cluster management with Hive, Pig, Sqoop, Flume, Impala, etc.
Who should go for this course
- Any IT experienced Professional who are interested to build their career in Big data Analysts.
- Any B.E/ B.Tech/ BSC/ M.C.A/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
- Fresh Graduates
The course can learn from any IT professional having basic knowledge of :
- Linux Basics
- SQL Data Base System Administrator
- Why Hadoop?
- Fundamental Concepts
- Core Hadoop Components
- Rationale for a Cluster Management Solution
- Cloudera Manager Features
- Cloudera Manager Installation
- Hadoop (CDH) Installation
- HDFS Features
- Writing and Reading Files
- NameNode Memory Considerations
- Overview of HDFS Security
- Web UIs for HDFS
- Using the Hadoop File Shell
- 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
- Ingesting Data From External Sources With Flume
- Ingesting Data From Relational Databases With Sqoop
- REST Interfaces
- Best Practices for Importing Data
- General Planning Considerations
- Choosing the Right Hardware
- Virtualization Options
- Network Considerations
- Configuring Nodes
- Advanced Configuration Parameters
- Configuring Hadoop Ports
- Configuring HDFS for Rack Awareness
- Configuring HDFS High Availability
- 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
- Configuring cgroups with Static Service Pools
- The Fair Scheduler
- Configuring Dynamic Resource Pools
- YARN Memory and CPU Settings
- Impala Query Scheduling
- Checking HDFS Status
- Copying Data Between Clusters
- Adding and Removing Cluster Nodes
- Rebalancing the Cluster
- Directory Snapshots
- Cluster Upgrading
- Cloudera Manager Monitoring Features
- Monitoring Hadoop Clusters
- Troubleshooting Hadoop Clusters
- Common Misconfiguration
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