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- You, This Course and Us
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 1,799
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
You, This Course and Us
Where does Pig fit in?
- Pig and the Hadoop ecosystem
- Install and set up
- How does Pig compare with Hive?
- Pig Latin as a data flow language
- Pig with HBase
Pig Basics
- Operating modes, running a Pig script, the Grunt shell
- Loading data and creating our first relation
- Scalar data types
- Complex data types - The Tuple, Bag and Map
- Partial schema specification for relations
- Displaying and storing relations - The dump and store commands
Pig Operations And Data Transformations
- Selecting fields from a relation
- Built-in functions
- Evaluation functions
- Using the distinct, limit and order by keywords
- Filtering records based on a predicate
Advanced Data Transformations
- Group by and aggregate transformations
- Combining datasets using Join
- Concatenating datasets using Union
- Generating multiple records by flattening complex fields
- Using Co-Group, Semi-Join and Sampling records
- The nested Foreach command
- Debug Pig scripts using Explain and Illustrate
Optimizing Data Transformations
- Parallelize operations using the Parallel keyword
- Join Optimizations: Multiple relations join, large and small relation join
- Join Optimizations: Skew join and sort-merge join
- Common sense optimizations
A real-world example
- Parsing server logs
- Summarizing error logs
Installing Hadoop in a Local Environment
- Hadoop Install Modes
- Hadoop Standalone mode Install
- Hadoop Pseudo-Distributed mode Install
Appendix
- [For Linux/Mac OS Shell Newbies] Path and other Environment Variables
- Setup a Virtual Linux Instance (For Windows users)
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