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Hadoop eco system-first class
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2. Introduction to Distributed Programming
› Sequential Programming
› Asynchronous Programming
› Concurrent Programming
› Distributed Programming
› Sequential Programming vs Asynchronous Programming
› Concurrent Programming vs Distributed Programming
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5. › Open Source Framework for writing and running
distributed applications.
› Suited for applications that process large amounts of
data.
› Accessible - eg; EC2 cloud OR commodity hardware
› Robust - Easy to recover from hardware failures.
› Scalable - Scales linearly to handle larger
data by adding more nodes.
› Simple - Enables to quickly write efficient parallel
code.
› Used in Data-Intensive applications such as telecom ,
finance , account overview pages.
› SCALE-OUT instead of SCALE-UP.
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9. SCALE-OUT Vs SCALE-UP
Key-Value Pair instead of relational DB.
Functional Programming – instead of
Declarative SQL statements.
Offline Batch Processing Vs Online
Transactions
10. How Hadoop Works
› Cluster of Nodes
› Type of Nodes
Computation Nodes
Job Tracker
Task Tracker
Storage Nodes
Name Node
Data Nodes
Secondary Name Node
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33. UnderStanding MapReduce
› Scaling a simple program Manually
Example – Word Count – A single document
Scaling Word Count for multiple documents
Front End - Map Program
Back End – Reduce Program
› How Hadoop Helps
One Central Storage Server vs Distributed
Storage
Phase 2 distributed processing
34. Installing Hadoop
Setting up Environment Variables
Hadoop Usage
Execution of Sample WordCount
program on Hadoop.
Setting up the Cluster
› Local Mode
› Pseudo-Distributed Mode
› Fully-Distributed Mode
Monitoring the output
› Web-based Cluster UI
35. Working with Files in HDFS
› Basic File Commands
Adding Files and Directories
Removing Files and Directories
› Reading and Writing to HDFS programmatically
Sample program
› Anatomy of a Map-Reduce Program
Hadoop Data-Types
Mapper
Reducer
Partitioner
Combiner - Local Reduce
36. Working with Files in HDFS
› Reading and Writing
InputFormat
TextInputFormat
KeyValueTextInputFormat
Creating a custom InputFormat
InputSplit
RecordReader
OutputFormat
Types of OutputFormat
