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عنوان
PySpark SQL Recipes :

پدید آورنده
Raju Kumar Mishra and Sundar Rajan Raman.

موضوع
Big data.,Python (Computer program language),SPARK (Computer program language),Big data.,COMPUTERS-- General.,Python (Computer program language),SPARK (Computer program language)

رده
QA76
.
73
.
P98

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
1484243358
(Number (ISBN
1484243366
(Number (ISBN
9781484243350
(Number (ISBN
9781484243367
Erroneous ISBN
148424334X
Erroneous ISBN
9781484243343

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
PySpark SQL Recipes :
General Material Designation
[Book]
Other Title Information
with HiveQL, Dataframe and Graphframes /
First Statement of Responsibility
Raju Kumar Mishra and Sundar Rajan Raman.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
[Berkeley, California] :
Name of Publisher, Distributor, etc.
Apress,
Date of Publication, Distribution, etc.
[2019]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource

CONTENTS NOTE

Text of Note
Introduction to PySpark SQL -- Installation -- 10 in PySpark SQL -- Operations on PySpark SQL DataFrames -- Data merging and data aggregation using PySparkSQL -- SQL, NoSQL, and PySparkSQL -- Optimizing PySpark SQL -- Structured streaming -- GraphFrames.
0

SUMMARY OR ABSTRACT

Text of Note
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code. "PySpark SQL recipes" starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You'll also discover how to solve problems in graph analysis using graphframes. On completing this book, you'll have ready-made code for all your PySpark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
OverDrive, Inc.
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
9405E00A-B13F-4FB7-99BC-9DA6AAA79623
Stock Number
com.springer.onix.9781484243350

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9781484243343
International Standard Book Number
9781484243367

TOPICAL NAME USED AS SUBJECT

Big data.
Python (Computer program language)
SPARK (Computer program language)
Big data.
COMPUTERS-- General.
Python (Computer program language)
SPARK (Computer program language)

(SUBJECT CATEGORY (Provisional

COM-- 000000
UN
UN

DEWEY DECIMAL CLASSIFICATION

Number
005
.
13/3
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
73
.
P98

PERSONAL NAME - PRIMARY RESPONSIBILITY

Mishra, Raju Kumar

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Raman, Sundar Rajan

ORIGINATING SOURCE

Date of Transaction
20200823032712.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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