Cloudera Training for Apache Hive and Pig
Course Summary
Hive and Pig are higher-level abstractions on top of MapReduce that allow those without Java programming knowledge to manage and manipulate data in a Hadoop cluster.
Cloudera's two-day course on Apache Hive and Pig is designed for people with a basic understanding of how Hadoop works and who want to use these languages for analysis of their data.
Download the full agenda for Cloudera's Training for Apache Hive and Pig.
Duration
2 days.
You Will Learn
- How Hive augments MapReduce
- How to create and manipulate tables using Hive
- Hive's basic and advanced data types
- Partitioning and bucketing data with Hive
- Advanced features of Hive
- How to load and manipulate data using Pig
- Features of the PigLatin programming language
- Solving real-world problems with Pig
Prerequisites
This course is suitable for developers, data analysts and business analysts. Experience with SQL and scripting languages is recommended, but is not required. No pre‐existing knowledge of Hadoop is required.
Outline
- Introduction
- Introduction to Hadoop and Hive
- Getting Data into Hive
- Manipulating Data with Hive
- Partitioning and Bucketing Data
- Advanced Hive Features
- Hive Best Practices
- Introduction to Pig
- Pig's Architecture
- Reading and Writing Data with Pig
- Pig Latin Basics
- Advanced Pig Latin
- Debugging Pig Scripts
- Pig Best Practices
- Bringing it All Together
- Appendix: Hive and HBase
Training Schedule
| United States | May 2013 | Jun 2013 | Jul 2013 | Aug 2013 |
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| Chicago, IL |
Jun 6 - Jun 7
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| Phoenix, AZ |
Jun 13 - Jun 14
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| Sacramento, CA |
Jun 13 - Jun 14
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| San Francisco Bay Area, CA |
Jun 13 - Jun 14
Jun 3 - Jun 4 |
| Online | May 2013 | Jun 2013 | Jul 2013 | Aug 2013 |
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| Virtual Classroom |
Jun 13 - Jun 14
Jun 27 - Jun 28 |
| International | May 2013 | Jun 2013 | Jul 2013 | Aug 2013 |
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| Amsterdam, Netherlands |
May 28 - May 29
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| Madrid, Spain |
Jun 26 - Jun 27
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| Shanghai, China |
Jun 28 - Jun 29
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| Warsaw, Poland |
Jul 10 - Jul 11
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