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Learning PySpark. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
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Learning PySpark. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

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Артикул Маркета
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Год издания
Обложка
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Learning PySpark. Build data-intensive applications locally and deploy at scale ...
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Т8 Издательские Технологии
Т8 Издательские Технологии
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Доставка Маркета
15 июня, по клику  0 ₽
Москва
15 июня, пункт выдачи  0 ₽
Москва
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О товаре

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
Key Features
Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0
Develop and deploy efficient, scalable real-time Spark solutions
Take your understanding of using Spark with Python to the next level with this jump start guide
Book Description
Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark.
You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command.
By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications.
What you will learn
Learn about Apache Spark and the Spark 2.0 architecture
Build and interact with Spark DataFrames using Spark SQL
Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively
Read, transform, and understand data and use it to train machine learning models
Build machine learning models with MLlib and ML
Learn how to submit your applications programmatically using spark-submit
Deploy locally built applications to a cluster
Who this book is for
If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory.
Packt - это книги, написанные разработчиками для разработчиков, - экспертные знания, которые вы больше нигде не найдете в Интернете
Издательство Packt Publishing
Мягкий переплет
Объем - 274 стр.
Формат - 205x260 мм.
ISBN 9781786463708
Год издания: 2017
Артикул Маркета
102146872861
Бренд
Packt
ISBN
9781786463708
Год издания
2017
Обложка
мягкий
Перед покупкой уточняйте характеристики и комплектацию у продавца.
Возрастное ограничение 18+
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Вопросы о товаре
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Войдите в аккаунтИ тогда откроется корзина, а цены на Маркете могут стать ниже
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