Beginning Apache Pig Big Data Processing Made Easy
Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to d...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berkeley, CA
Apress
2016, 2016
|
| Edition: | 1st ed. 2016 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1 - Introduction
- Chapter 2 - Data types
- Chapter 3 - Grunt
- Chapter 4 - Introduction to Pig Latin
- Chapter 5 - Joins and Functions
- Chapter 6 - Pig Latin using Oozie
- Chapter 7 - Introduction to HCatalog
- Chapter 8 - Submitting Pig jobs using Hue
- Chapter 9 - Role of Pig in Apache Falcon
- Chapter 10 - Macros
- Chapter 11 - User defined Functions
- Chapter 12 - Writing your own eval and Filter Functions
- Chapter 13 - Writing your own Load and Store Functions
- Chapter 14 - Know Your Pig latin scripts
- Chapter 15 - Data formats
- Chapter 16 - Optimization
- Chapter 17 - Other Hadoop tools
- Appendix A - Builtin Functions
- Appendix B - Apache Pig in Apache Ambari
- Appendix C - HBaseStorage and ORCSTorage options