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Thread: Hadoop Admin Online Training Hadoop Admin, Hadoop Admin Training, Hadoop Admin | Hado

  1. #1
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    Hadoop Admin Online Training Hadoop Admin, Hadoop Admin Training, Hadoop Admin | Hado

    Big Data (Hadoop) Developer Online Training

    Click Here For Enquiry
    Understanding Big Data
    Introduction/Installation - Hadoop Custom VM(Single Node)
    Understanding Big Data
    3V (Volume-Variety-Velocity) Characteristics
    Structured and Unstructured Data
    Application and use cases of Big Data
    Limitations of Traditional Large Scale Systems
    How a distributed way of computing is superior (cost and scale)
    HDFS
    HDFS Overview and Architecture
    Data Replication
    Safe Mode
    Name Node
    Checkpoint Node
    Backup Node
    Configuration Files
    HDFS Data Flows
    Read
    Write
    HDFS Commands
    File System
    Administrative
    Advanced HDFS Features
    HDFS Federation
    HDFS High Availability
    MapReduce Overview
    Functional Programming Paradigms
    Input and Output Formats
    Hadoop Data Types
    MapReduce Overview
    Input Splits
    Shuffling
    Sorting
    Partitioning
    Configuration Files
    Distributed Cache
    MR Alogrithm and Data Flow
    WordCount
    MapReduce Architecture
    Legacy MR
    Next Generation MapReduce (aka YARN/MRV2)
    Developing and Deploying MR Programs
    Standalone Mode
    Hadoop Streaming
    Optimizers
    Combiners
    JVM Reuse
    Compression
    MR Best Practice and Debugging
    Fundamental MR Algorithms (Non-Graph)
    Student Database
    Max Temperature
    Higher Level Abstractions for MapReduce 1
    Pig Introduction
    Pig Latin Language Constructs
    Pig User Defined Functions
    Pig Use Cases
    Higher Level Abstractions for MapReduce - 2
    Hive - Introduction
    Hive QL
    Hive User Defined Functions
    Hive Use Cases
    NOSQL Databases
    NoSQL Concepts
    Review of RDBMS
    Need for NOSQL
    Brewers CAP Theorem
    ACID vs BASE
    Different Types of NoSQL Databases
    Key Value
    Columnar
    Document
    Graph
    Columnar Databases
    Hadoop Ecosystem
    HBASE vs Cassandra
    HBASE Architecture
    HBASE Data Modeling
    HBASE Commands
    HBASE Coprocessors - Endpoints
    HBASE Coprocessors - Observers
    SQOOP
    Flume & OOZIE..
    HADOOP ADMINISTRATION
    Click Here For ENQUIRY
    Module 1 HADOOP CLUSTER ADMINISTRATION
    Learning Objectives: In this module, you will understand what is Big Data and Apache Hadoop, How Hadoop solves the Big Data problems, Hadoop Cluster Architecture, Introduction to MapReduce framework, Hadoop Data Loading techniques, and Role of a Hadoop Cluster Administrator.
    Introduction to Big Data
    Use cases where Big Data is used
    Introduction to Hadoop framework
    Companies using Hadoop
    HDFS File system
    Hadoop Architecture
    MapReduce Framework
    A typical Hadoop Cluster
    Hadoop Cluster Administrator: Roles and Responsibilities
    Current Job Market
    Module 2 HADOOP ARCHITECTURE AND CLUSTER SETUP
    Learning Objectives: After this module, you will understand Multiple Hadoop Server roles such as NameNode and DataNode, and MapReduce data processing. You will also understand the Hadoop 1.0 Cluster setup and configuration, Setting up Hadoop Clients using Hadoop 1.0, and important Hadoop configuration files and parameters.
    Hadoop server roles and their usage
    Hadoop Installation and Initial Configuration
    Understand Namenode and Datanodes Communication channels
    Setup a Single Node Cluster
    Namenode Metadata's details
    Setup a Multi Node Cluster Deploying Hadoop in pseudodistributed mode
    Setup Pass phraseless Access
    Rack Awareness
    Anatomy of Write and Read
    Replication Pipeline, Data Processing
    Installing Hadoop Clients
    Module 3: HADOOP CLUSTER: PLANNING AND MANAGING
    Learning Objectives: In this module, you will understand Planning and Managing a Hadoop Cluster, Hadoop Cluster Monitoring and Troubleshooting, Analysing logs, and Auditing. You will also understand Scheduling and Executing MapReduce Jobs, and different Schedulers.
    List Planning the Hadoop Cluster
    Cluster Sizing
    Hardware considerations
    Software considerations
    Managing Jobs
    Scheduling Jobs
    Types of schedulers in Hadoop FIFO
    Types of schedulers in Hadoop FAIR
    Types of schedulers in Hadoop SCHEDULER
    Setup Queues and Pools for Jobs
    Configuring the schedulers and run MapReduce jobs
    Cluster Monitoring
    Cluster Troubleshooting
    Module 4: BACKUP, RECOVERY AND MAINTENANCE
    Learning Objectives: In this module, you will understand day to day Cluster Administration tasks such as adding and Removing Data Nodes, NameNode recovery, configuring Backup and Recovery in Hadoop, Diagnosing the Node Failures in the Cluster, Hadoop Upgrade etc.
    Configure Rack awareness
    Hadoop Balancer
    Setting up Secondary Namenode
    Hadoop Backup
    How to Whitelist and Blacklist data nodes in a Cluster
    Add Storage to Datanodes
    Setup Users and Quota's
    Setup Trash for Hadoop
    Understand Safemode of cluster
    Details on fsck
    Namenode Recovery using checkpoint
    Upgrade Hadoop cluster
    Copy data across clusters using distcp
    Diagnostics and Recovery, Cluster Maintenance
    Module 5: HADOOP 2.0 AND HIGH AVAILABILITY
    Learning Objectives: In this module, you will understand Secondary NameNode setup and check pointing, Hadoop 2.0 New Features, HDFS High Availability, YARN framework, MRv2, and Hadoop 2.0 Cluster setup in pseudo distributed and distributed mode.
    Introduction to Hadoop 2.0
    Understand YARN framework
    Understand High Availability for Namenode
    Understand Federation
    Introduction to Quorum Manager and Automatic failover methods
    Hadoop 2.0 Cluster setup
    Deploying Hadoop 2.0 in pseudodistributed mode
    Deploying a multinode Hadoop 2.0 Cluster
    Module 6: CONFIGURING MAPREDUCE, CAPACITY SCHEDULER, HDFS
    Learning Objectives: In this module, you will understand the YARN execution and workflow. You will also learn to configure MapReduce jobs, configure capacity scheduler and HDFS.
    YARN Execution
    YARN Workflow
    MapReduce Job Configuration
    Configure Capacity Scheduler
    Configuring HDFS HA
    Hadoop Log Management
    Hadoop Auditing and Alerts
    Module 7: GETTING ADVANCED TOPICS: QJM, HDFS FEDERATION AND SECURITY
    Learning Objectives: In this module, you will understand basics of Hadoop security, Managing security with Kerberos, HDFS Federation setup and Log Management. You will also understand HDFS High Availability using Quorum Journal Manager (QJM).
    Configure Hadoop Federation
    Basics of Hadoop Platform Security
    Securing the Platform
    Understand Kerberos
    Configuring Kerberos on the Cluster
    Module 8: OOZIE, PIG CONFIGURATION AND EXAMPLES
    Learning Objectives: In this module, you will understand Setting up Apache Oozie Workflow Scheduler for Hadoop Jobs, Pig Scripting.
    Introdution to Oozie/Configure Oozie
    Introduction to Pig Scripting
    Write Pig Scripts / Process Web logs using Pig
    Introduction to Hive and Hbase
    Introduction to NoSql
    Introduction To MongoDB
    Understand Indexes
    Module 9: HIVE, HBASE ADMINISTRATION
    Learning Objectives: Hcatalog/Hive Administration, deploying HBase with other Hadoop components, Using HBase effectively to load data, writing to and reading from Hbase.
    Hive Administration
    HBase Architecture
    HBase setup
    HBase and Hive Integration
    HBase performance optimization and tools
    Module 10: CLOUDERA SETUP AND PERFORMANCE TUNING
    Learning Objectives: In this module, you will understand how to configure Hadoop Cluster using Cloudera Maanger. We will also look into performance tuning parameters and other intermediate phases of MapReduce.
    Look at the important performance tuning parameters
    Intermediate phases of MapReduce
    Details of tuning the intermediate phases
    Hadoop Cluster installation using Cloudera Manager
    Introduction to alternatives to the Hadoop HDFS and MapReduce
    Module 11: GANGLIA
    Learning Objectives: In this module, you will understand how to configure Ganglia for monitoring your Hadoop Cluster.
    Introduction to ganglia
    Why 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
    Module 12: PUPPET
    Learning Objectives: In this module, you will understand how to use Puppet to automate repetitive tasks
    Introduction to Puppet
    How does Puppet work
    Puppet components Puppet Master, Puppet Agents
    Puppet Manifests and Classes
    Puppet installation and Configuration
    Deploy configuration for Nodes
    Module 13: AMBARI
    Learning Objectives: You will understand how to use Ambari for managing, provisioning & monitoring your clusters.
    Introduction to Ambari
    Installing and starting Ambari Server
    Configuring and Deploying the cluster
    Choosing and Customizing services
    Assigning Masters, Slaves and Clients
    Troubleshooting Ambari deployments
    Module 14: AMAZON WEB SERVICES AWS
    Learning Objectives: In this module, you will understand how to deploy your Hadoop cluster on AWS.
    Introduction to AWS
    Different Instance types
    Get familiar with Common terms on AWS
    Components of Hadoop on AWS
    Deploy Hadoop cluster on AWS
    Explore scalability options
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  2. #2
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    thanks for sharing the article hadoop online training

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