Hadoop Administration Certification Training provides you with proficiency in all the steps required to operate and sustain a Hadoop Cluster which includes Planning, Installation, and Configuration through load balancing, Security, and Tuning. In this training will provide hands-on preparation for the real-world challenges faced by Hadoop Administrators. The course curriculum follows Apache Hadoop distribution.
Course content
Understanding Big Data and Hadoop
- Introduction to big data
- Common big data domain scenarios
- Limitations of traditional solutions
- What is Hadoop?
- Hadoop 1.0 ecosystem and its Core Components
- Hadoop 2.x ecosystem and its Core Components
- Application submission in YARN
Hadoop Cluster and its Architecture
- Hadoop Cluster Architecture
- Replication rules
- Hadoop Cluster Modes
- Rack awareness theory
- Hadoop cluster administrator responsibilities
- Understand working of HDFS
- NTP server
- Initial configuration required before installing Hadoop
- Deploying Hadoop in a pseudo-distributed mode
Hadoop Cluster Setup and Working
- OS Tuning for Hadoop Performance
- Pre-requisite for installing Hadoop
- Hadoop Configuration Files
- Stale Configuration
- RPC and HTTP Server Properties
- Properties of Namenode, Datanode and Secondary Namenode
- Log Files in Hadoop
- Deploying a multi-node Hadoop cluster
Hadoop Cluster Administration and Maintenance
- Commisioning and Decommissioning of Node
- HDFS Balancer
- Namenode Federation in Hadoop
- High Availabilty in Hadoop
- .Trash Functionality
- Checkpointing in Hadoop
- Distcp
- Disk balancer
Computational Frameworks, Managing Resources and Scheduling
- Different Processing Frameworks
- Different phases in Mapreduce
- Spark and its Features
- Application Workflow in YARN
- YARN Metrics
- YARN Capacity Scheduler and Fair Scheduler
- Service Level Authorization (SLA)
Hadoop 2.x Cluster: Planning and Management
- Planning a Hadoop 2.x cluster
- Cluster sizing
- Hardware, Network and Software considerations
- Popular Hadoop distributions
- Workload and usage patterns
- Industry recommendations
Hadoop Security and Cluster Monitoring
- Monitoring Hadoop Clusters
- Hadoop Security System Concepts
- Securing a Hadoop Cluster With Kerberos
- Common Misconfigurations
- Overview on Kerberos
- Checking log files to understand Hadoop clusters for troubleshooting
Cloudera Hadoop 2.x and its Features
- Visualize Cloudera Manager
- Features of Cloudera Manager
- Build Cloudera Hadoop cluster using CDH
- Installation choices in Cloudera
- Cloudera Manager Vocabulary
- Cloudera terminologies
- Different tabs in Cloudera Manager
- What is HUE?
- Hue Architecture
- Hue Interface
- Hue Features
Pig, Hive Installation and Working
- Explain Hive
- Hive Setup
- Hive Configuration
- Working with Hive
- Setting Hive in local and remote metastore mode
- Pig setup
- Working with Pig
HBase, Zookeeper Installation and Working (Self-paced)
- What is NoSQL Database
- HBase data model
- HBase Architecture
- MemStore, WAL, BlockCache
- HBase Hfile
- Compactions
- HBase Read and Write
- HBase balancer and hbck
- HBase setup
- Working with HBase
- Installing Zookeeper
Understanding Oozie
- Oozie overview
- Oozie Features
- Oozie workflow, coordinator and bundle
- Start, End and Error Node
- Action Node
- Join and Fork
- Decision Node
- Oozie CLI
- Install Oozie
Data Ingestion using Sqoop and Flume
- Types of Data Ingestion
- HDFS data loading commands
- Purpose and features of Sqoop
- Perform operations like, Sqoop Import, Export and Hive Import
- Sqoop 2
- Install Sqoop
- Import data from RDBMS into HDFS
- Flume features and architecture
- Types of flow
- Install Flume
- Ingest Data From External Sources With Flume
- Best Practices for Importing Data
Ambari
- Introduction to Ambari
- Installing and starting Ambari Server
- Configuring and Deploying the cluster
- Choosing and Customizing services
- Assigning Masters, Slaves and Clients
- Troubleshootig Ambari deployments
Ganglia
- Introduction to ganglia
- Components of Ganglia – Gmond, Gmetad, RRDtool
- Installation and Configuration – Gmond Configuration, Gmetad Configuration, PHP Web Frontend Configuration
- Setup Monitoring for Hadoop Cluster – Commandline Tools, Gmetric, Gstat
- How to automate deploys in your infrastructure
Amazon Web Services – AWS
- Introduction to AWS
- Different Instance types
- Get familiar with AWS
- Components of Hadoop on AWS
- Deploy Hadoop cluster on AWS
- Explore scalability options
To see the full course content Download now
Course Prerequisites
- Basic knowledge of Linux command line interface will be considered beneficial
Who can attend
The market for Big Data analytics is constantly growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals with the required skills. Hadoop Admin Certification Training helps you to grab this opportunity and accelerate your career. It is best suited for:
- Linux / Unix Administrators
- Data Engineers & Database Administrators
- Windows Administrators
- Infrastructure Administrators
- System Administrators
- Data Analytics Administrators
- Cloud Systems Administrators
- Web Engineers
- Individuals who intend to design, deploy and maintain Hadoop clusters
Number of Hours: 40hrs
Certification
Key features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
DASVM Technologies offers 300+ IT training courses with 10+ years of Experienced Expert level Trainers.
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Materials
- Preparing for Certification
Call now: +91-99003 49889 and know the exciting offers available for you!
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