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. On completing this book
you'll have ready-made code for all your PySpark SQL tasks including creating dataframes using
data from different file formats as well as from SQL or NoSQL databases. What You Will Learn
Understand PySpark SQL and its advanced features Use SQL and HiveQL with PySpark SQL Work with
structured streaming Optimize PySpark SQL Master graphframes and graph processing Who This Book
Is ForData scientists Python programmers and SQL programmers.
