Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark - Sandy Ryza,Sean Owen,Josh Wills,Akash Tandon,Uri Laserson
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"The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices ... Pilns apraksts
Aprašymas
"The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming"--Back cover.
Vairāk informācijas
| Autors | Sandy Ryza, Sean Owen, Josh Wills, Akash Tandon, Uri Laserson |
|---|---|
| Izdevējs | O'Reilly Media |
| Izlaides gads | 2022 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781098103651 |