Titlebook: Beginning Apache Pig; Big Data Processing Balaswamy Vaddeman Book 2016 Balaswamy Vaddeman 2016 Apache Pig.Grunt.Pig Latin.HCatalogue.HCata

消音器

陳腐的人

Fay Huang,Bo-Hui Wu,Bo-Ru HuangIn this chapter, you will learn how to write macros in Pig Latin.

ANA

M. Hedayati,M. J. Cree,J. ScottIn this chapter, you will learn how to write user-defined functions (UDFs) in Pig Latin.

租約

Yuanyuan Liu,Zhong Xie,Xi Gong,Fang FangIn the previous chapter, you learned how to write user-defined functions. In this chapter, you will learn in detail how to write Eval functions using Java and how to access MapReduce features and Pig features inside Eval functions.

Simulate

Limousine

Xin Li,Han Lyu,Jiehan Zhou,Shuai Cao,Xin LiuMany times you might get stuck both while developing applications and while running applications. So, it is important to know how to troubleshoot Pig scripts. Pig provides features and operators for troubleshooting. You will learn about some of them in this chapter.

進(jìn)步

Lecture Notes in Computer ScienceStoring and maintaining a huge amount data is one of the problems created by big data. In this chapter, you will learn how to store data efficiently using a few different data formats and compression algorithms.

陳列

Lecture Notes in Computer ScienceIn big data processing, performance is important so that people can make quicker decisions based on the available reports. You should not be happy with just having output; you should also check how much time you have taken for that output and should try decreasing the running time.

剛開(kāi)始

Thyroid-Gland

MapReduce and Its Abstractions,In this chapter, you will learn about the technologies that existed before Apache Hadoop, about how Hadoop has addressed the limitations of those technologies, and about the new developments since Hadoop was released.