Hadoop admin online training

Hadoop admin online training

Enrollmytraining provide Hadoop   adminonline training by real time experts in  IT industry  .We provide Hadoop  Admin online Training in across the World like India,USA, UK, Singapore, UAE, Australia, Europe, Japan, South Africa,Malaysia, Dubai .The student who had taken Hadoop Admin training got placed in top MNC’s .

Introduction to Data Storage and Processing
Installing the Hadoop Distributed File System (HDFS)
Defining key design assumptions and architecture
Configuring and setting up the file system
Issuing commands from the console
Reading and writing files
Setting the stage for MapReduce
Reviewing the MapReduce approach
Introducing the computing daemons
Dissecting a MapReduce job
Defining Hadoop Cluster Requirements
Planning the architecture
Selecting appropriate hardware
Designing a scalable cluster
Building the cluster
Installing Hadoop daemons
Optimizing the network architecture
Configuring a Cluster
Preparing HDFS
Setting basic configuration parameters
Configuring block allocation, redundancy and replication
Deploying MapReduce
Installing and setting up the MapReduce environment
Delivering redundant load balancing via Rack Awareness
Maximizing HDFS Robustness
Creating a fault–tolerant file system
Isolating single points of failure
Maintaining High Availability
Triggering manual failover
Automating failover with Zookeeper
Leveraging NameNode Federation
Extending HDFS resources
Managing the namespace volumes
Introducing YARN
Critiquing the YARN architecture
Identifying the new daemons
Managing Resources and Cluster Health
Allocating resources
Setting quotas to constrain HDFS utilization
Prioritizing access to MapReduce using schedulers
Maintaining HDFS
Starting and stopping Hadoop daemons
Monitoring HDFS status
Adding and removing data nodes
Administering MapReduce
Managing MapReduce jobs
Tracking progress with monitoring tools
Commissioning and decommissioning compute nodes
Maintaining a Cluster
Employing the standard built–in tools
Managing and debugging processes using JVM metrics
Performing Hadoop status checks
Tuning with supplementary tools
Assessing performance with Ganglia
Benchmarking to ensure continued performance
Extending Hadoop
Simplifying information access
Enabling SQL–like querying with Hive
Installing Pig to create MapReduce jobs
Integrating additional elements of the ecosystem
Imposing a tabular view on HDFS with HBase
Configuring Oozie to schedule workflows
Implementing Data Ingress and Egress
Facilitating generic input/output
Moving bulk data into and out of Hadoop
Transmitting HDFS data over HTTP with WebHDFS
Acquiring application–specific data
Collecting multi–sourced log files with Flume
Importing and exporting relational information with Sqoop
Planning for Backup, Recovery and Security
Coping with inevitable hardware failures
Securing your Hadoop cluster

Hadoop admin online training

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