BIG DATA – HADOOP ADMIN COURSE IN JAIPUR
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What is BIG DATA – HADOOP ADMIN COURSE IN JAIPUR?
A Big Data – Hadoop Admin Course in Jaipur is a specialized training program designed to equip individuals with the skills required to manage and administer Hadoop clusters. Hadoop is a framework used for processing and storing large datasets in a distributed computing environment. This course is ideal for IT professionals who want to advance their careers in big data and Hadoop administration.
The Motivation & Limitation for Hadoop
- Problems with Traditional Large-Scale Systems
- Motivation & Limitation of Hadoop
- Available version Hadoop 1.x & 2.x
- Available Distributions of Hadoop (Cloudera, Hortonworks)
- Hadoop Projects & Components
- The Hadoop Distributed File System
(HDFS)
Hadoop Ecosystem & Cluster
Hadoop Ecosystem projects &
Components overview
- HDFS – File System
- HBase – The Hadoop Database
- Cassandra – No SOL Database
- Hive – SQL Engine
- Mahout
Hadoop Architecture overview Cluster
Daemons & Its Functions
- Name Node
- Secondary Node
- Data Nodes
Planning Hadoop Cluster& Initial
Configuration
- General Planning Considerations
- Choosing the Right Hardware
- Network Considerations
- Planning for Cluster & Its Management
- Types of Deployment
- Cloudera Manager
Installation & Deployment of Hadoop
- Installing Hadoop (Cloudera)
- Installation – Pig, Hive, HBase, Cassandra etc
- Specifying the Hadoop Configuration
- Performing Initial HDFS
- Configuration
- Performing Initial YARN and
- MapReduce Configuration
- Hadoop Logging&Cluster Monitoring
Load Data and Run Application
- Ingesting Data from External Sources withFlume
- Ingesting Data from Relational
Databaseswith Sqoop - REST Interfaces
- Best Practices for Importing Data
Manage, Maintain, Monitor, and troubleshoot of cluster
- General System Monitoring
- Monitoring Hadoop Clusters
- Common Troubleshooting Hadoop Clusters
- Common Misconfigurations
- Managing Running Jobs
- Scheduling Hadoop Jobs
Upgrade, Rolling and Backup
- Cluster Upgrading
Checking HDFS Status- Adding and Removing Cluster Nodes
- Name Node Meta Data Backup
- Data Backup
- Distributed Copy
- Parallel Data Ingestion
Conclusion & FAQs…
Placements of Thirdeye
