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Advanced Analytics with PySpark
Patterns for Learning from Data at Scale Using Python and Spark
Taschenbuch von Akash Tandon (u. a.)
Sprache: 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.

Sandy Ryza is software engineer at Elementl. Previously, he developed algorithms for public transit at Remix and was a senior data scientist at Cloudera and Clover Health. He is an Apache Spark committer, Apache Hadoop PMC member, and founder of the Time Series for Spark project.

Uri Laserson is founder & CTO of Patch Biosciences. Previously, he worked on big data and genomics at Cloudera.

Sean Owen is a principal solutions architect focusing on machine learning and data science at Databricks. He is an Apache Spark committer and PMC member, and co-author Advanced Analytics with Spark. Previously, he was director of Data Science at Cloudera and an engineer at Google.

Josh Wills is an independent data science and engineering consultant, the former head of data engineering at Slack and data science at Cloudera, and wrote a tweet about data scientists once.

Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 275
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098103651
ISBN-10: 1098103653
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Tandon, Akash
Wills, Josh
Ryza, Sandy
Owen, Sean
Laserson, Uri
Hersteller: O'Reilly Media
Maße: 230 x 173 x 14 mm
Von/Mit: Akash Tandon (u. a.)
Erscheinungsdatum: 24.06.2022
Gewicht: 0,418 kg
preigu-id: 120691474
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.

Sandy Ryza is software engineer at Elementl. Previously, he developed algorithms for public transit at Remix and was a senior data scientist at Cloudera and Clover Health. He is an Apache Spark committer, Apache Hadoop PMC member, and founder of the Time Series for Spark project.

Uri Laserson is founder & CTO of Patch Biosciences. Previously, he worked on big data and genomics at Cloudera.

Sean Owen is a principal solutions architect focusing on machine learning and data science at Databricks. He is an Apache Spark committer and PMC member, and co-author Advanced Analytics with Spark. Previously, he was director of Data Science at Cloudera and an engineer at Google.

Josh Wills is an independent data science and engineering consultant, the former head of data engineering at Slack and data science at Cloudera, and wrote a tweet about data scientists once.

Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 275
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098103651
ISBN-10: 1098103653
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Tandon, Akash
Wills, Josh
Ryza, Sandy
Owen, Sean
Laserson, Uri
Hersteller: O'Reilly Media
Maße: 230 x 173 x 14 mm
Von/Mit: Akash Tandon (u. a.)
Erscheinungsdatum: 24.06.2022
Gewicht: 0,418 kg
preigu-id: 120691474
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