Hadoop Instructor
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Post a project like this$100
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- Proposals: 1
- Remote
- #902539
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Description
Experience Level: Expert
We are in need of instructor for teaching 30 to 40 hrs Online Course on Hadoop. This course will be delivered online using web conferencing.
1. Faculty has freedom to modify the curriculum based on industry requirement
2. Apart from delivery of the course faculty need to assess participants though assignments, projects and online lab/ hands on
sample course content: (instructor have freedom to modify the course content)
Modules Content
Module-I
Virtual Box/VM Ware
Basics, Installations, Backups, Snapshots
ClouderaVM
Installations
Hadoop
Why Hadoop, Scaling, Distributed Framework, Hadoop v/s RDBMS, Brief history of Hadoop, Problems with traditional large-scale systems, Requirements for a new approach, Anatomy of a Hadoop cluster, Other Hadoop Ecosystem components
Setup Hadoop
Pseudo mode, Cluster mode, Installation of Java, Hadoop, Configurations of Hadoop, Hadoop Processes ( NN, SNN, JT, DN, TT), Temporary directory, UI, Common errors when running Hadoop cluster, Solutions
Module-II
HDFS- Hadoop Distributed File System-
HDFS design and architecture, HDFS concepts, Interacting HDFS using command line,Dataflow, Blocks, Replica
Hadoop Processes
Name node, Secondary name node, Job tracker, Task tracker, Data node
Module-III
MapReduce
Developing MapReduce application, Phases in MapReduce framework, MapReduce input and output formats, Advanced concepts, Sample applications, Combiner
Writing a MapReduce Program
The MapReduce flow, Examining a sample MapReduce program, Basic MapReduce API concepts, Driver code, Mapper, Reducer, Hadoop’s streaming API, Using Eclipse for rapid development, Hands-on exercise, New MapReduce API
Common MapReduce Algorithms
Sorting and Searching, Indexing, Term Frequency – Inverse Document Frequency, Word Co-occurrence, Hands-on exercise
Writing advance map reduce programs
Building multivalue writable data, Accessing and using counters,Partitioner - Hashpartitioner,Hands on Exercises .
Module-IV
Hadoop Programming Languages
HIVE: Introduction, Installation, Configuration, Interacting HDFS using HIVE, MapReduce programs through HIVE, HIVE commands, Loading, Filtering, Grouping, Data types, Operators, Joins, Groups, Sample programs in HIVE
PIG: Basics, Configuration, Commands,Loading, Filtering, Grouping, Data types, Operators, Joins, Groups, Sample programs in PIG
HBase
What is HBase, HBase architecture, HBase API, Managing large data sets with HBase, Using HBase in Hadoop applications.
Module-V
Integrating Hadoop into the Enterprise Workflow
Integrating Hadoop into an Existing Enterprise, Loading Data from an RDBMS into HDFS by Using Sqoop, Managing Real-Time Data Using Flume.
1. Faculty has freedom to modify the curriculum based on industry requirement
2. Apart from delivery of the course faculty need to assess participants though assignments, projects and online lab/ hands on
sample course content: (instructor have freedom to modify the course content)
Modules Content
Module-I
Virtual Box/VM Ware
Basics, Installations, Backups, Snapshots
ClouderaVM
Installations
Hadoop
Why Hadoop, Scaling, Distributed Framework, Hadoop v/s RDBMS, Brief history of Hadoop, Problems with traditional large-scale systems, Requirements for a new approach, Anatomy of a Hadoop cluster, Other Hadoop Ecosystem components
Setup Hadoop
Pseudo mode, Cluster mode, Installation of Java, Hadoop, Configurations of Hadoop, Hadoop Processes ( NN, SNN, JT, DN, TT), Temporary directory, UI, Common errors when running Hadoop cluster, Solutions
Module-II
HDFS- Hadoop Distributed File System-
HDFS design and architecture, HDFS concepts, Interacting HDFS using command line,Dataflow, Blocks, Replica
Hadoop Processes
Name node, Secondary name node, Job tracker, Task tracker, Data node
Module-III
MapReduce
Developing MapReduce application, Phases in MapReduce framework, MapReduce input and output formats, Advanced concepts, Sample applications, Combiner
Writing a MapReduce Program
The MapReduce flow, Examining a sample MapReduce program, Basic MapReduce API concepts, Driver code, Mapper, Reducer, Hadoop’s streaming API, Using Eclipse for rapid development, Hands-on exercise, New MapReduce API
Common MapReduce Algorithms
Sorting and Searching, Indexing, Term Frequency – Inverse Document Frequency, Word Co-occurrence, Hands-on exercise
Writing advance map reduce programs
Building multivalue writable data, Accessing and using counters,Partitioner - Hashpartitioner,Hands on Exercises .
Module-IV
Hadoop Programming Languages
HIVE: Introduction, Installation, Configuration, Interacting HDFS using HIVE, MapReduce programs through HIVE, HIVE commands, Loading, Filtering, Grouping, Data types, Operators, Joins, Groups, Sample programs in HIVE
PIG: Basics, Configuration, Commands,Loading, Filtering, Grouping, Data types, Operators, Joins, Groups, Sample programs in PIG
HBase
What is HBase, HBase architecture, HBase API, Managing large data sets with HBase, Using HBase in Hadoop applications.
Module-V
Integrating Hadoop into the Enterprise Workflow
Integrating Hadoop into an Existing Enterprise, Loading Data from an RDBMS into HDFS by Using Sqoop, Managing Real-Time Data Using Flume.
Sathya R.
100% (1)Projects Completed
1
Freelancers worked with
1
Projects awarded
0%
Last project
7 Dec 2015
India
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