Data Merging and Data Aggregation Using PySparkSQL

  • Mishra R
  • Raman S
N/ACitations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Data merging and data aggregation are an essential part of the day-to-day activities of PySparkSQL users. This chapter will discuss and describe the following recipes.

Cite

CITATION STYLE

APA

Mishra, R. K., & Raman, S. R. (2019). Data Merging and Data Aggregation Using PySparkSQL. In PySpark SQL Recipes (pp. 167–206). Apress. https://doi.org/10.1007/978-1-4842-4335-0_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free