Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Beginning Apache Spark 2with resilie...
~
Luu, Hien.
Beginning Apache Spark 2with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Beginning Apache Spark 2by Hien Luu.
Reminder of title:
with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
Author:
Luu, Hien.
Published:
Berkeley, CA :Apress :2018.
Description:
xi, 393 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Distributed databases.
Online resource:
http://dx.doi.org/10.1007/978-1-4842-3579-9
ISBN:
9781484235799$q(electronic bk.)
Beginning Apache Spark 2with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
Luu, Hien.
Beginning Apache Spark 2
with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /[electronic resource] :by Hien Luu. - Berkeley, CA :Apress :2018. - xi, 393 p. :ill., digital ;24 cm.
1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark.
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library.
ISBN: 9781484235799$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3579-9doiSubjects--Corporate Names:
822609
Spark (Electronic resource : Apache Software Foundation)
Subjects--Topical Terms:
184457
Distributed databases.
LC Class. No.: QA76.9.D3 / L884 2018
Dewey Class. No.: 005.758
Beginning Apache Spark 2with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
LDR
:02239nmm a2200289 a 4500
001
544107
003
DE-He213
005
20190306105912.0
006
m d
007
cr nn 008maaau
008
190430s2018 cau s 0 eng d
020
$a
9781484235799$q(electronic bk.)
020
$a
9781484235782$q(paper)
024
7
$a
10.1007/978-1-4842-3579-9
$2
doi
035
$a
978-1-4842-3579-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.D3
$b
L884 2018
082
0 4
$a
005.758
$2
23
090
$a
QA76.9.D3
$b
L975 2018
100
1
$a
Luu, Hien.
$3
822608
245
1 0
$a
Beginning Apache Spark 2
$h
[electronic resource] :
$b
with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
$c
by Hien Luu.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
xi, 393 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark.
520
$a
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library.
610
2 0
$a
Spark (Electronic resource : Apache Software Foundation)
$3
822609
650
0
$a
Distributed databases.
$3
184457
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Big Data.
$3
760530
650
2 4
$a
Java.
$3
763312
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
275288
650
2 4
$a
Open Source.
$3
758930
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-3579-9
950
$a
Professional and Applied Computing (Springer-12059)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000161752
電子館藏
1圖書
電子書
EB QA76.9.D3 L975 2018 2018
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-1-4842-3579-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login