Artículos relacionados a Data Algorithms with Spark: Recipes and Design Patterns...
Sinopsis
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
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Mahmoud Parsian, Ph.D. in Computer Science, is a practicing software professional with 30 years of experience as a developer, designer, architect, and author. For the past 15 years, he has been involved in Java server-side, databases, MapReduce, Spark, PySpark, and distributed computing.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 47,61
EUR 3,40 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoResultados de la búsqueda para Data Algorithms with Spark: Recipes and Design Patterns...
Imagen de archivo
Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Nº de ref. del artículo: OTF-S-9781492082385
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Data Algorithms With Spark : Recipes and Design Patterns for Scaling Up Using Pyspark
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 42901489-n
Cantidad disponible: 12 disponibles
Imagen de archivo
Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9781492082385
Cantidad disponible: 1 disponibles
Imagen de archivo
Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar2716030177804
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Data Algorithms with Spark
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781492082385
Cantidad disponible: 8 disponibles
Imagen del vendedor
Data Algorithms With Spark : Recipes and Design Patterns for Scaling Up Using Pyspark
Publicado por
O'Reilly Media, 2022
ISBN 10: 1492082384
ISBN 13: 9781492082385
Antiguo o usado
Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 42901489
Cantidad disponible: 12 disponibles
Imagen de archivo
Data Algorithms with Spark
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781492082385
Gastos de envío:
EUR 6,74
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 7 disponibles
Imagen de archivo
Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781492082385
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Data Algorithms with Spark
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: LU-9781492082385
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Data Algorithms with Spark (Paperback)
Publicado por
O'Reilly Media, Sebastopol, 2022
ISBN 10: 1492082384
ISBN 13: 9781492082385
Nuevo
Paperback
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9781492082385
Cantidad disponible: 1 disponibles