Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Practical Apache Sparkusing the Scal...
~
Chellappan, Subhashini.
Practical Apache Sparkusing the Scala API /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Practical Apache Sparkby Subhashini Chellappan, Dharanitharan Ganesan.
Reminder of title:
using the Scala API /
Author:
Chellappan, Subhashini.
other author:
Ganesan, Dharanitharan.
Published:
Berkeley, CA :Apress :2018.
Description:
xvi, 280 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Scala (Computer program language)
Online resource:
https://doi.org/10.1007/978-1-4842-3652-9
ISBN:
9781484236529$q(electronic bk.)
Practical Apache Sparkusing the Scala API /
Chellappan, Subhashini.
Practical Apache Spark
using the Scala API /[electronic resource] :by Subhashini Chellappan, Dharanitharan Ganesan. - Berkeley, CA :Apress :2018. - xvi, 280 p. :ill., digital ;24 cm.
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You'll follow a learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you'll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage. You will: Discover the functional programming features of Scala Understand the complete architecture of Spark and its components Integrate Apache Spark with Hive and Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts and libraries using Spark's MLlib packages.
ISBN: 9781484236529$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3652-9doiSubjects--Uniform Titles:
Spark (Electronic resource : Apache Software Foundation)
Subjects--Topical Terms:
716124
Scala (Computer program language)
LC Class. No.: QA76.9.D3 / C445 2018
Dewey Class. No.: 005.758
Practical Apache Sparkusing the Scala API /
LDR
:02148nmm a2200313 a 4500
001
546936
003
DE-He213
005
20190514115316.0
006
m d
007
cr nn 008maaau
008
190627s2018 cau s 0 eng d
020
$a
9781484236529$q(electronic bk.)
020
$a
9781484236512$q(paper)
024
7
$a
10.1007/978-1-4842-3652-9
$2
doi
035
$a
978-1-4842-3652-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.D3
$b
C445 2018
072
7
$a
UN
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
005.758
$2
23
090
$a
QA76.9.D3
$b
C516 2018
100
1
$a
Chellappan, Subhashini.
$3
772570
245
1 0
$a
Practical Apache Spark
$h
[electronic resource] :
$b
using the Scala API /
$c
by Subhashini Chellappan, Dharanitharan Ganesan.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
xvi, 280 p. :
$b
ill., digital ;
$c
24 cm.
520
$a
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You'll follow a learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you'll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage. You will: Discover the functional programming features of Scala Understand the complete architecture of Spark and its components Integrate Apache Spark with Hive and Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts and libraries using Spark's MLlib packages.
630
0 0
$a
Spark (Electronic resource : Apache Software Foundation)
$3
750546
630
0 0
$a
SPARK (Electronic resource)
$3
347394
650
0
$a
Scala (Computer program language)
$3
716124
650
1 4
$a
Big Data.
$3
760530
650
2 4
$a
Open Source.
$3
758930
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
274102
700
1
$a
Ganesan, Dharanitharan.
$3
826049
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-1-4842-3652-9
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
000000163303
電子館藏
1圖書
電子書
EB QA76.9.D3 C516 2018 2018
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-1-4842-3652-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login