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عنوان
Data analytics with Spark using Python /

پدید آورنده
Jeffrey Aven.

موضوع
Spark (Electronic resource : Apache Software Foundation),Spark (Electronic resource : Apache Software Foundation),Big data.,Electronic data processing-- Distributed processing-- Management.,Python (Computer program language),Big data.,Electronic data processing-- Distributed processing-- Management.,Python (Computer program language)

رده
QA76
.
9
.
D343

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
0134844858
(Number (ISBN
9780134844855
Erroneous ISBN
9780134846019

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Data analytics with Spark using Python /
General Material Designation
[Book]
First Statement of Responsibility
Jeffrey Aven.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boston :
Name of Publisher, Distributor, etc.
Addison-Wesley,
Date of Publication, Distribution, etc.
[2018]
Date of Publication, Distribution, etc.
©2018

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (1 volume) :
Other Physical Details
illustrations.

SERIES

Series Title
Addison-Wesley data & analytics series

GENERAL NOTES

Text of Note
Includes index.

SUMMARY OR ABSTRACT

Text of Note
Spark for Data Professionals introduces and solidifies the concepts behind Spark 2.x, teaching working developers, architects, and data professionals exactly how to build practical Spark solutions. Jeffrey Aven covers all aspects of Spark development, including basic programming to SparkSQL, SparkR, Spark Streaming, Messaging, NoSQL and Hadoop integration. Each chapter presents practical exercises deploying Spark to your local or cloud environment, plus programming exercises for building real applications. Unlike other Spark guides, Spark for Data Professionals explains crucial concepts step-by-step, assuming no extensive background as an open source developer. It provides a complete foundation for quickly progressing to more advanced data science and machine learning topics. This guide will help you: Understand Spark basics that will make you a better programmer and cluster "citizen" Master Spark programming techniques that maximize your productivity Choose the right approach for each problem Make the most of built-in platform constructs, including broadcast variables, accumulators, effective partitioning, caching, and checkpointing Leverage powerful tools for managing streaming, structured, semi-structured, and unstructured data.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Safari Books Online
Stock Number
CL0500000970

TITLE USED AS SUBJECT

Spark (Electronic resource : Apache Software Foundation)
Spark (Electronic resource : Apache Software Foundation)

TOPICAL NAME USED AS SUBJECT

Big data.
Electronic data processing-- Distributed processing-- Management.
Python (Computer program language)
Big data.
Electronic data processing-- Distributed processing-- Management.
Python (Computer program language)

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
.
D343

PERSONAL NAME - PRIMARY RESPONSIBILITY

Aven, Jeffrey

ORIGINATING SOURCE

Date of Transaction
20200822085936.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

Proposal/Bug Report

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