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Englisch
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Beschreibung
"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.
"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.
Über den Autor
Akash Tandon is an independent consultant and experienced full-stack data engineer. Previously, he was a senior data engineer at Atlan, where he built software for enterprise data science teams. In another life, he had worked on data science projects for governments, and built risk assessment tools at a FinTech startup. As a student, he wrote open source software with the R project for statistical computing and Google. In his free time, he researches things for no good reason.
Details
Erscheinungsjahr: | 2022 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781098103651 |
ISBN-10: | 1098103653 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Tandon, Akash
Ryza, Sandy Laserson, Uri Owen, Sean Wills, Josh |
Hersteller: | O'Reilly Media |
Maße: | 230 x 173 x 14 mm |
Von/Mit: | Akash Tandon (u. a.) |
Erscheinungsdatum: | 19.07.2022 |
Gewicht: | 0,418 kg |
Über den Autor
Akash Tandon is an independent consultant and experienced full-stack data engineer. Previously, he was a senior data engineer at Atlan, where he built software for enterprise data science teams. In another life, he had worked on data science projects for governments, and built risk assessment tools at a FinTech startup. As a student, he wrote open source software with the R project for statistical computing and Google. In his free time, he researches things for no good reason.
Details
Erscheinungsjahr: | 2022 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781098103651 |
ISBN-10: | 1098103653 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Tandon, Akash
Ryza, Sandy Laserson, Uri Owen, Sean Wills, Josh |
Hersteller: | O'Reilly Media |
Maße: | 230 x 173 x 14 mm |
Von/Mit: | Akash Tandon (u. a.) |
Erscheinungsdatum: | 19.07.2022 |
Gewicht: | 0,418 kg |
Warnhinweis