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Apache HADOOP Overview & Introduction
HADOOP Architecture
Eco System Components
Apache Pig
Apache Pig Frame work
Apache Pig Data Processing
1. Schema on Read policy
2. No Meta Store
3. Processing control
4. Set Mappers
5. Integrations
6. File Formats
7. User defined functions
8. Script execution plan
9. Data set splitting
PIG Supports
Apache Pig Script Creation
Apache Pig Features
1. Data Types
2. Data Sets
3. Data Set Joins
4. Foreach
5. Joins
6. Grouping
7. Filtering
8. Storing
9. Union
10.CoGroup
Apache Pig Sample Script
Apache Pig First Script
A = LOAD '/user/mapr/training/pig/emp.csv' USING
PigStorage(',') AS (id, firstname, lastname, designation,
city);
STORE A INTO '/user/mapr/training/pig/output';
DUMP A INTO '/user/mapr/training/pig/output';
Apache Pig Example Scripts
X = LOAD '/user/mapr/training/pig/emp_pig1.csv' USING PigStorage(',') AS
(id, firstname, lastname, designation, city);
Y = LOAD '/user/mapr/training/pig/emp_pig2.csv' USING PigStorage(',') AS
(id, firstname, lastname, designation, city);
Z = JOIN X by (designation), Y BY (designation);
final = FILTER Z by X::designation MATCHES 'Manager';
A = GROUP X BY city;
B = FOREACH X GENERATE id, designation;
STORE final INTO '/user/mapr/training/pig/output';
PIG – More Samples
Apache Pig Advanced Scripts
PIG – Advanced
Apache Pig Functions
PIG – User Defined Functions
Apache Pig Storage
Apache Pig Interfaces and Connections
1.PIG Grunt
2.Java Client API
3.Python API
4.Hive connectors
5.HBase Connectors
6.Alternatives
7.Cascading
Learn HADOOP
Contact:
USA: +1 732 325 1626
India: +91 800 811 4040
Mail: info@bigclasses.com
/bigclasses /bigclasses /bigclasses
http://bigclasses.com/hadoop-online-training.html
Watch HADOOP DEMO Videos On YouTube
www.youtube.com/user/bigclassescom

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Apache hadoop pig overview and introduction

  • 1. Apache HADOOP Overview & Introduction
  • 5. Apache Pig Data Processing 1. Schema on Read policy 2. No Meta Store 3. Processing control 4. Set Mappers 5. Integrations 6. File Formats 7. User defined functions 8. Script execution plan 9. Data set splitting PIG Supports
  • 6. Apache Pig Script Creation
  • 7. Apache Pig Features 1. Data Types 2. Data Sets 3. Data Set Joins 4. Foreach 5. Joins 6. Grouping 7. Filtering 8. Storing 9. Union 10.CoGroup
  • 9. Apache Pig First Script A = LOAD '/user/mapr/training/pig/emp.csv' USING PigStorage(',') AS (id, firstname, lastname, designation, city); STORE A INTO '/user/mapr/training/pig/output'; DUMP A INTO '/user/mapr/training/pig/output';
  • 10. Apache Pig Example Scripts X = LOAD '/user/mapr/training/pig/emp_pig1.csv' USING PigStorage(',') AS (id, firstname, lastname, designation, city); Y = LOAD '/user/mapr/training/pig/emp_pig2.csv' USING PigStorage(',') AS (id, firstname, lastname, designation, city); Z = JOIN X by (designation), Y BY (designation); final = FILTER Z by X::designation MATCHES 'Manager'; A = GROUP X BY city; B = FOREACH X GENERATE id, designation; STORE final INTO '/user/mapr/training/pig/output'; PIG – More Samples
  • 11. Apache Pig Advanced Scripts PIG – Advanced
  • 12. Apache Pig Functions PIG – User Defined Functions
  • 14. Apache Pig Interfaces and Connections 1.PIG Grunt 2.Java Client API 3.Python API 4.Hive connectors 5.HBase Connectors 6.Alternatives 7.Cascading
  • 15. Learn HADOOP Contact: USA: +1 732 325 1626 India: +91 800 811 4040 Mail: info@bigclasses.com /bigclasses /bigclasses /bigclasses http://bigclasses.com/hadoop-online-training.html
  • 16. Watch HADOOP DEMO Videos On YouTube www.youtube.com/user/bigclassescom