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Data Algorithms by Mahmoud Parsian (35 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.85.
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Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.85.
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Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Published by O'Reilly Media (edition 1), 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
Paperback. Condition: Fair. 1. Heavy wear. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Published by O'Reilly Media (edition 1), 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
Paperback. Condition: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up Using Pyspark (Paperback or Softback)
Published by O'Reilly Media 5/17/2022, 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
Paperback or Softback. Condition: New. Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up Using Pyspark 1.55. Book.
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Data Algorithms with Spark
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 59.96
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: 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 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 solutionsExplore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions()Understand data partitioning for optimized queriesBuild and apply a model using PySpark design patternsApply motif-finding algorithms to graph dataAnalyze graph data by using the GraphFrames APIApply PySpark algorithms to clinical and genomics dataLearn how to use and apply feature engineering in ML algorithmsUnderstand and use practical and pragmatic data design patterns.
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Data Algorithms with Spark (Paperback)
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
Paperback. Condition: 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.
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Data Algorithms With Spark : Recipes and Design Patterns for Scaling Up Using Pyspark
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data Algorithms with Spark
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 209.
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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up Using Pyspark
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Data Algorithms With Spark : Recipes and Design Patterns for Scaling Up Using Pyspark
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 69.79
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Data Algorithms with Spark
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 4 out of 5 stars
US$ 93.48
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Add to basketPaperback. Condition: 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 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 solutionsExplore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions()Understand data partitioning for optimized queriesBuild and apply a model using PySpark design patternsApply motif-finding algorithms to graph dataAnalyze graph data by using the GraphFrames APIApply PySpark algorithms to clinical and genomics dataLearn how to use and apply feature engineering in ML algorithmsUnderstand and use practical and pragmatic data design patterns.
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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up Using Pyspark
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
Condition: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Data Algorithms With Spark: Recipes and Design Patterns for Scaling Up Using Pyspark
Published by Oreilly & Associates Inc, 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
US$ 92.01
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Add to basketPaperback. Condition: Brand New. 500 pages. 9.19x7.00x1.10 inches. In Stock.
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Add to basketPaperback. Condition: 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 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 solutionsExplore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions()Understand data partitioning for optimized queriesBuild and apply a model using PySpark design patternsApply motif-finding algorithms to graph dataAnalyze graph data by using the GraphFrames APIApply PySpark algorithms to clinical and genomics dataLearn how to use and apply feature engineering in ML algorithmsUnderstand and use practical and pragmatic data design patterns.
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Data Algorithms with Spark : Recipes and Design Patterns for Scaling Up Using Pyspark
Published by O'reilly Media Mai 2022, 2022
ISBN 10: 1492082384 ISBN 13: 9781492082385
Language: English
US$ 98.39
Convert currencyUS$ 37.46 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: 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.
