文件名称：PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes
文件大小：4.6MB
文件格式：PDF
更新时间：2022-04-09 17:00:33
PySpar HiveQL graphf
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code. PySpark SQL Recipes starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You’ll also discover how to solve problems in graph analysis using graphframes.