Hadoop Online Training Demo On 19Th Jan At 8.30 Pm(Ist)

[training4u]

[color=#FF0000][font=helvetica, arial, sans-serif][size=6]Email : [email protected][/size][/font][/color]
[color=#FF0000][font=helvetica, arial, sans-serif][size=6]Contact No : +91 9036298699[/size][/font][/color]

[color=#0000FF][font=helvetica, arial, sans-serif][font=arial, helvetica, sans-serif][size=6]Hadoop Demo on 19th Jan at 8.30 PM(IST) || 1[/size][size=6]9th Jan at 10 AM(EST).[/size][/font][/font][/color]



[color=#282828][font=helvetica, arial, sans-serif][center][b][u]HADOOP Online Training Course Content (Duration::30-35 hours)[/u][/b][/center][/font][/color]


[b]Overview[/b][list]
[*]Move computation not data
[*]Hadoop performance and data scale facts
[*]Hadoop in the context of other data stores
[*]The Apache Hadoop Project
[*]The Hadoop Ecosystem
[/list]
[b]MapReduce Map and Reduce[/b][list]
[*]Java Map Reduce
[*]Running a Distributed Map
[*]Reduce Job Hadoop Streaming: Python
[/list]
[b]The Hadoop Distributed Filesystem[/b][list]
[*]HDFS Design & Concepts
[*]Blocks, Namenodes and Datanodes
[*]hadoop fs The Command-Line Interface
[*]Basic Filesystem Operations
[*]Reading Data from a Hadoop URL
[*]Reading Data Using the FileSystem API
[*]Data Flow Anatomy of a File Read
[*]Anatomy of a File Write Coherency Model
[/list]
[b]How MapReduce Works[/b][list]
[*]Anatomy of a MapReduce Job Run
[*]Job Submission Job Initialization, Task Assignment, Task Execution
[*]Progress and Status Updates
[*]Job Completion, Failures
[*]Job Scheduling
[*]Fair Scheduler
[*]Shuffle and Sort - Map Side, Reduce Side
[*]Configuration Tuning
[*]Task Execution, Speculative Execution, Task JVM Reuse, Skipping Bad Records
[*]The Task Execution Environment
[*]Distributed Cache
[/list]
[b]Hadoop Administrator[/b][list]
[*]Setting Up a Hadoop Cluster
[*]Cluster Specification
[*]Network Topology
[*]Cluster Setup and Installation
[*]SSH Configuration
[*]Hadoop Configuration
[*]Configuration Management
[*]Environment Settings
[*]Hadoop Daemon Addresses and Ports
[*]Benchmarking a Hadoop Cluster: TeraByte Sort on Apache
[*]Monitoring, Logging Routine Administration Procedures
[/list]
[b]Pig[/b][list]
[*]Installing and Running Pig
[*]Execution Types
[*]Running Pig Programs
[*]User-Defined Functions
[/list]
[b]Hive[/b][list]
[*]HiveQL.
[*]Serdes
[*]Metastore
[/list]
[b]HBase[/b][list]
[*]Concepts Data Model, Schema Design
[*]Test Drive
[*]REST and Thrift
[*]Metrics[b][u]HADOOP Online Training Course Content (Duration::30-35 hours)[/u][/b]


[b]Overview[/b]

[b]MapReduce Map and Reduce[/b]

[b]The Hadoop Distributed Filesystem[/b]

[b]How MapReduce Works[/b]

[b]Hadoop Administrator[/b]

[b]Pig[/b]

[b]Hive[/b]

[b]HBase[/b]
[list]
[*]Move computation not data
[*]Hadoop performance and data scale facts
[*]Hadoop in the context of other data stores
[*]The Apache Hadoop Project
[*]The Hadoop Ecosystem
[*]Java Map Reduce
[*]Running a Distributed Map
[*]Reduce Job Hadoop Streaming: Python
[*]HDFS Design & Concepts
[*]Blocks, Namenodes and Datanodes
[*]hadoop fs The Command-Line Interface
[*]Basic Filesystem Operations
[*]Reading Data from a Hadoop URL
[*]Reading Data Using the FileSystem API
[*]Data Flow Anatomy of a File Read
[*]Anatomy of a File Write Coherency Model
[*]Anatomy of a MapReduce Job Run
[*]Job Submission Job Initialization, Task Assignment, Task Execution
[*]Progress and Status Updates
[*]Job Completion, Failures
[*]Job Scheduling
[*]Fair Scheduler
[*]Shuffle and Sort - Map Side, Reduce Side
[*]Configuration Tuning
[*]Task Execution, Speculative Execution, Task JVM Reuse, Skipping Bad Records
[*]The Task Execution Environment
[*]Distributed Cache
[*]Setting Up a Hadoop Cluster
[*]Cluster Specification
[*]Network Topology
[*]Cluster Setup and Installation
[*]SSH Configuration
[*]Hadoop Configuration
[*]Configuration Management
[*]Environment Settings
[*]Hadoop Daemon Addresses and Ports
[*]Benchmarking a Hadoop Cluster: TeraByte Sort on Apache
[*]Monitoring, Logging Routine Administration Procedures
[*]Installing and Running Pig
[*]Execution Types
[*]Running Pig Programs
[*]User-Defined Functions
[*]HiveQL.
[*]Serdes
[*]Metastore
[*]Concepts Data Model, Schema Design
[*]Test Drive
[*]REST and Thrift
[*]Metrics
[/list]
[/list]

[training4u]

[color=#FF0000][font=helvetica, arial, sans-serif][size=6]Email : [email protected][/size][/font][/color]
[color=#FF0000][font=helvetica, arial, sans-serif][size=6]Contact No : +91 9036298699[/size][/font][/color]

[color=#0000FF][font=helvetica, arial, sans-serif][font=arial, helvetica, sans-serif][size=6]Hadoop Demo on 19th Jan at 8.30 PM(IST) || 1[/size][size=6]9th Jan at 10 AM(EST).[/size][/font][/font][/color]

[training4u]

[color=#FF0000][font=helvetica, arial, sans-serif][size=6]Email : [email protected][/size][/font][/color]
[color=#FF0000][font=helvetica, arial, sans-serif][size=6]Contact No : +91 9036298699[/size][/font][/color]

[color=#0000FF][font=helvetica, arial, sans-serif][font=arial, helvetica, sans-serif][size=6]Hadoop Demo on 19th Jan at 8.30 PM(IST) || 1[/size][size=6]9th Jan at 10 AM(EST).[/size][/font][/font][/color]