PySpark SQL Recipes With HiveQL, Dataframe and Graphframes /

• Κύριοι συγγραφείς: Mishra, Raju Kumar (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Raman, Sundar Rajan (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Big data.; Open source software.; Computer programming.; Python (Computer program language).; Programming languages (Electronic computers).; Big Data.; Open Source.; Python.; Programming Languages, Compilers, Interpreters.

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 gra...

Πίνακας περιεχομένων:

• Chapter 1: Introduction to PySparkSQL
• Chapter 2: Some time with Installation
• Chapter 3: IO in PySparkSQL
• Chapter 4 : Operations on PySparkSQL DataFrames
• Chapter 5 : Data Merging and Data Aggregation using PySparkSQL
• Chapter 6: SQL, NoSQL and PySparkSQL
• Chapter 7: Structured Streaming
• Chapter 8 : Optimizing PySparkSQL
• Chapter 9 : GraphFrames.