nach der Bestellung gedruckt Neuware - Printed after ordering - No need to spend hours ploughing through endless data - let Spark, one of the fastest big data processing engines available, do the hard work for you.Key Features: Get up and running with Apache Spark and Python Integrate Spark with AWS for real-time analytics Apply processed data streams to machine learning APIs of Apache SparkBook Description:Processing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. This book teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming.You'll begin by learning data processing fundamentals using Resilient Distributed Datasets (RDDs), SQL, Datasets, and Dataframes APIs. After grasping these fundamentals, you'll move on to using Spark Streaming APIs to consume data in real time from TCP sockets, and integrate Amazon Web Services (AWS) for stream consumption.By the end of this book, you'll not only have understood how to use machine learning extensions and structured streams but you'll also be able to apply Spark in your own upcoming big data projects.What You Will Learn: Write your own Python programs that can interact with Spark Implement data stream consumption using Apache Spark Recognize common operations in Spark to process known data streams Integrate Spark streaming with Amazon Web Services (AWS) Create a collaborative filtering model with the movielens dataset Apply processed data streams to Spark machine learning APIsWho this book is for:Data Processing with Apache Spark is for you if you are a software engineer, architect, or IT professional who wants to explore distributed systems and big data analytics. Although you don't need any knowledge of Spark, prior experience of working with Python is recommended.

N� de ref. del art�culo 9781789808810

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Big Data Processing with Apache Spark : Efficiently tackle large datasets and big data analysis with Spark and Python
Editor: Packt Publishing
Fecha de publicaci�n: 2018
Idioma: Ingl�s
ISBN 10: 1789808812
ISBN 13: 9781789808810
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 235�mil�metros de ancho por 191 de alto por 9 de largo
Peso: 280 gramos

Acerca de

Sinopsis

No need to spend hours ploughing through endless data - let Spark, one of the fastest big data processing engines available, do the hard work for you.

Key Features:

- Get up and running with Apache Spark and Python

- Integrate Spark with AWS for real-time analytics

- Apply processed data streams to machine learning APIs of Apache Spark

Book Description:

Processing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. This book teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming.

You'll begin by learning data processing fundamentals using Resilient Distributed Datasets (RDDs), SQL, Datasets, and Dataframes APIs. After grasping these fundamentals, you'll move on to using Spark Streaming APIs to consume data in real time from TCP sockets, and integrate Amazon Web Services (AWS) for stream consumption.

By the end of this book, you'll not only have understood how to use machine learning extensions and structured streams but you'll also be able to apply Spark in your own upcoming big data projects.

What You Will Learn:

- Write your own Python programs that can interact with Spark

- Implement data stream consumption using Apache Spark

- Recognize common operations in Spark to process known data streams

- Integrate Spark streaming with Amazon Web Services (AWS)

- Create a collaborative filtering model with the movielens dataset

- Apply processed data streams to Spark machine learning APIs

Who this book is for:

Data Processing with Apache Spark is for you if you are a software engineer, architect, or IT professional who wants to explore distributed systems and big data analytics. Although you don't need any knowledge of Spark, prior experience of working with Python is recommended.

Acerca del autor

Manuel Ignacio Franco Galeano is a computer scientist from Colombia. He works for Fender Musical Instruments as a lead engineer in Dublin, Ireland. He holds a master's degree in computer science from University College, Dublin UCD. His areas of interest and research are music information retrieval, data analytics, distributed systems, and blockchain technologies.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

Condiciones de venta y env�o

Condiciones de venta

T�rminos y Condiciones Generales e Informaci�n del Cliente / Pol�tica de Privacidad

I. T�rminos y Condiciones Generales

� 1 Disposiciones b�sicas

(1)Los siguientes t�rminos y condiciones se aplican a todos los contratos que celebre con nosotros como proveedor (AHA-BUCH GmbH) a trav�s de las plataformas de Internet AbeBooks y/o ZVAB. A menos que se acuerde lo contrario, se objetar� la inclusi�n de cualquiera de sus propios t�rminos y condiciones utilizados por usted.
(2)Un consumidor en el sentid...

M�s informaci�n

Derecho a cancelaci�n

Condiciones de env�o

Enviamos su pedido despu�s de recibirlos
para art�culos disponibles las �ltimas 24 horas,
para art�culos con suministro nocturno a m�s tardar 48 horas.
En caso de que necesitemos pedir un art�culo a nuestro proveedor, nuestro tiempo de env�o depende de la fecha de recepci�n de los art�culos, pero los art�culos se enviar�n el mismo d�a.

Nuestro objetivo es enviar los art�culos pedidos de la manera m�s r�pida, pero tambi�n m�s eficiente y segura a nuestros clientes.

Tarifas de env�o de Alemania a Estados Unidos de America

Tarifas de env�o de Alemania a Estados Unidos de America
Cantidad del pedido	De 30 a 40 d�as h�biles	De 7 a 14 d�as h�biles
Primer art�culo	EUR 61.40	EUR 71.40

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.

Informaci�n detallada sobre el vendedor