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Edité par O'Reilly Media (edition 1), 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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Edité par O'Reilly Media (edition 1), 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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Ajouter au panierPaperback or Softback. Etat : New. Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up Using Pyspark 1.55. Book.
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Edité par O'Reilly Media, Inc, USA, 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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Edité par O'Reilly Media, Inc, USA, 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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Ajouter au panierKartoniert / Broschiert. Etat : New. Apache Spark s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an intr.
Edité par O'Reilly Media, Inc, USA, 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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Ajouter au panierPaperback. Etat : Brand New. 500 pages. 9.19x7.00x1.10 inches. In Stock.
Edité par O'reilly Media Mai 2022, 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.
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Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Edité par O'Reilly Media, Sebastopol, 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
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EUR 65,35
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Ajouter au panierPaperback. Etat : new. Paperback. Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.With this book, you will:Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions() Understand data partitioning for optimized queries Build and apply a model using PySpark design patterns Apply motif-finding algorithms to graph data Analyze graph data by using the GraphFrames API Apply PySpark algorithms to clinical and genomics data Learn how to use and apply feature engineering in ML algorithms Understand and use practical and pragmatic data design patterns" With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par O'Reilly Media, Sebastopol, 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 99,41
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Ajouter au panierPaperback. Etat : new. Paperback. Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.With this book, you will:Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions() Understand data partitioning for optimized queries Build and apply a model using PySpark design patterns Apply motif-finding algorithms to graph data Analyze graph data by using the GraphFrames API Apply PySpark algorithms to clinical and genomics data Learn how to use and apply feature engineering in ML algorithms Understand and use practical and pragmatic data design patterns" With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par O'Reilly Media, Inc, USA, 2022
ISBN 10 : 1492082384 ISBN 13 : 9781492082385
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 64,88
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.