語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Practical data science = a guide to ...
~
Vermeulen, Andreas Francois.
FindBook
Google Book
Amazon
博客來
Practical data science = a guide to building the technology stack for turning data lakes into business assets /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Practical data science/ by Andreas Francois Vermeulen.
其他題名:
a guide to building the technology stack for turning data lakes into business assets /
作者:
Vermeulen, Andreas Francois.
出版者:
Berkeley, CA :Apress : : 2018.,
面頁冊數:
xxv, 805 p. :ill. (some col.), digital ;24 cm.
內容註:
Chapter 1: Data Science Technology Stack -- Chapter 2: Vermeulen - Krennwallner - Hillman - Clark -- Chapter 3: Layered Framework -- Chapter 4: Business Layer -- Chapter 5: Utility Layer -- Chapter 6: Three Management Layers -- Chapter 7: Retrieve Super Step -- Chapter 8: Assess Super Step -- Chapter 9: Process Super Step -- Chapter 10: Transform Super Step -- Chapter 11: Organize and Report Super Step.
Contained By:
Springer eBooks
標題:
Data structures (Computer science) -
電子資源:
http://dx.doi.org/10.1007/978-1-4842-3054-1
ISBN:
9781484230541
Practical data science = a guide to building the technology stack for turning data lakes into business assets /
Vermeulen, Andreas Francois.
Practical data science
a guide to building the technology stack for turning data lakes into business assets /[electronic resource] :by Andreas Francois Vermeulen. - Berkeley, CA :Apress :2018. - xxv, 805 p. :ill. (some col.), digital ;24 cm.
Chapter 1: Data Science Technology Stack -- Chapter 2: Vermeulen - Krennwallner - Hillman - Clark -- Chapter 3: Layered Framework -- Chapter 4: Business Layer -- Chapter 5: Utility Layer -- Chapter 6: Three Management Layers -- Chapter 7: Retrieve Super Step -- Chapter 8: Assess Super Step -- Chapter 9: Process Super Step -- Chapter 10: Transform Super Step -- Chapter 11: Organize and Report Super Step.
Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results.
ISBN: 9781484230541
Standard No.: 10.1007/978-1-4842-3054-1doiSubjects--Topical Terms:
527210
Data structures (Computer science)
LC Class. No.: QA76.9.D35
Dewey Class. No.: 005.73
Practical data science = a guide to building the technology stack for turning data lakes into business assets /
LDR
:02387nmm a2200325 a 4500
001
2134219
003
DE-He213
005
20180222142444.0
006
m d
007
cr nn 008maaau
008
181005s2018 cau s 0 eng d
020
$a
9781484230541
$q
(electronic bk.)
020
$a
9781484230534
$q
(paper)
024
7
$a
10.1007/978-1-4842-3054-1
$2
doi
035
$a
978-1-4842-3054-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.D35
072
7
$a
UNF
$2
bicssc
072
7
$a
UYQE
$2
bicssc
072
7
$a
COM021030
$2
bisacsh
082
0 4
$a
005.73
$2
23
090
$a
QA76.9.D35
$b
V524 2018
100
1
$a
Vermeulen, Andreas Francois.
$3
3302454
245
1 0
$a
Practical data science
$h
[electronic resource] :
$b
a guide to building the technology stack for turning data lakes into business assets /
$c
by Andreas Francois Vermeulen.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
xxv, 805 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
Chapter 1: Data Science Technology Stack -- Chapter 2: Vermeulen - Krennwallner - Hillman - Clark -- Chapter 3: Layered Framework -- Chapter 4: Business Layer -- Chapter 5: Utility Layer -- Chapter 6: Three Management Layers -- Chapter 7: Retrieve Super Step -- Chapter 8: Assess Super Step -- Chapter 9: Process Super Step -- Chapter 10: Transform Super Step -- Chapter 11: Organize and Report Super Step.
520
$a
Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn: Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results.
650
0
$a
Data structures (Computer science)
$3
527210
650
0
$a
Database management.
$3
527442
650
1 4
$a
Computer Science.
$3
626642
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
898250
650
2 4
$a
Big Data/Analytics.
$3
2186785
650
2 4
$a
Big Data.
$3
3134868
650
2 4
$a
Data Storage Representation.
$3
892664
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-3054-1
950
$a
Professional and Applied Computing (Springer-12059)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9342954
電子資源
11.線上閱覽_V
電子書
EB QA76.9.D35
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入