語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Practical Hadoop Migration = How to ...
~
Lakhe, Bhushan.
Practical Hadoop Migration = How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Practical Hadoop Migration/ by Bhushan Lakhe.
其他題名:
How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL /
作者:
Lakhe, Bhushan.
面頁冊數:
XXIV, 305 p. 99 illus., 61 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Database management. -
電子資源:
https://doi.org/10.1007/978-1-4842-1287-5
ISBN:
9781484212875
Practical Hadoop Migration = How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL /
Lakhe, Bhushan.
Practical Hadoop Migration
How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL /[electronic resource] :by Bhushan Lakhe. - 1st ed. 2016. - XXIV, 305 p. 99 illus., 61 illus. in color.online resource.
Chapter 1: RDBMS Meets Hadoop: Integrating, Re-Architecting, and Transitioning -- Part I: Relational Database Management Systems: A Review of Design Principles, Models, and Best Practices -- Chapter 2: Understanding RDBMS Design Principles -- Chapter 3: Using SSADM for Relational Design -- Chapter 4: RDBMS Design and Implementation Tools.-Part II: Hadoop: A Review of the Hadoop Ecosystem, NoSQL Design Principles and Best Practices -- Chapter 5: The Hadoop Ecosystem -- Chapter 6: Re-Architecting for NoSQL Design Principles, Models, and Best Practices.-Part III: Integrating Relational Database Management Systems with the Hadoop Distributed File System -- Chapter 7: Data Lake Integration Design Principles -- Chapter 8: Implementing SQOOP and Flume-based Data Transfers.-Part IV: Transitioning from Relational to NoSQL Design Models -- Chapter 9: Lambda Architecture for Real-time Hadoop Applications -- Chapter 10: Implementing and Optimizing the Transition -- Part V: Case Study for Designing and Implementing a Hadoop-based Solution -- Chapter 11: Case Study: Implementing Lambda Architecture.
Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to optimize concurrency, security, denormalization, and performance. Winner of IBM’s 2012 Gerstner Award for his implementation of big data and data warehouse initiatives and author of Practical Hadoop Security, author Bhushan Lakhe walks you through the entire transition process. First, he lays out the criteria for deciding what blend of re-architecting, migration, and integration between RDBMS and HDFS best meets your transition objectives. Then he demonstrates how to design your transition model. Lakhe proceeds to cover the selection criteria for ETL tools, the implementation steps for migration with SQOOP- and Flume-based data transfers, and transition optimization techniques for tuning partitions, scheduling aggregations, and redesigning ETL. Finally, he assesses the pros and cons of data lakes and Lambda architecture as integrative solutions and illustrates their implementation with real-world case studies. Hadoop/NoSQL solutions do not offer by default certain relational technology features such as role-based access control, locking for concurrent updates, and various tools for measuring and enhancing performance. Practical Hadoop Migration shows how to use open-source tools to emulate such relational functionalities in Hadoop ecosystem components. What You'll Learn Decide whether you should migrate your relational applications to big data technologies or integrate them Transition your relational applications to Hadoop/NoSQL platforms in terms of logical design and physical implementation Discover RDBMS-to-HDFS integration, data transformation, and optimization techniques Consider when to use Lambda architecture and data lake solutions Select and implement Hadoop-based components and applications to speed transition, optimize integrated performance, and emulate relational functionalities Who This Book Is For Database developers, database administrators, enterprise architects, Hadoop/NoSQL developers, and IT leaders. Its secondary readership is project and program managers and advanced students of database and management information systems.
ISBN: 9781484212875
Standard No.: 10.1007/978-1-4842-1287-5doiSubjects--Topical Terms:
557799
Database management.
LC Class. No.: QA76.9.D3
Dewey Class. No.: 005.74
Practical Hadoop Migration = How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL /
LDR
:04984nam a22004095i 4500
001
980510
003
DE-He213
005
20200706082611.0
007
cr nn 008mamaa
008
201211s2016 xxu| s |||| 0|eng d
020
$a
9781484212875
$9
978-1-4842-1287-5
024
7
$a
10.1007/978-1-4842-1287-5
$2
doi
035
$a
978-1-4842-1287-5
050
4
$a
QA76.9.D3
072
7
$a
UN
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
072
7
$a
UN
$2
thema
072
7
$a
UMT
$2
thema
082
0 4
$a
005.74
$2
23
100
1
$a
Lakhe, Bhushan.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1113078
245
1 0
$a
Practical Hadoop Migration
$h
[electronic resource] :
$b
How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL /
$c
by Bhushan Lakhe.
250
$a
1st ed. 2016.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2016.
300
$a
XXIV, 305 p. 99 illus., 61 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Chapter 1: RDBMS Meets Hadoop: Integrating, Re-Architecting, and Transitioning -- Part I: Relational Database Management Systems: A Review of Design Principles, Models, and Best Practices -- Chapter 2: Understanding RDBMS Design Principles -- Chapter 3: Using SSADM for Relational Design -- Chapter 4: RDBMS Design and Implementation Tools.-Part II: Hadoop: A Review of the Hadoop Ecosystem, NoSQL Design Principles and Best Practices -- Chapter 5: The Hadoop Ecosystem -- Chapter 6: Re-Architecting for NoSQL Design Principles, Models, and Best Practices.-Part III: Integrating Relational Database Management Systems with the Hadoop Distributed File System -- Chapter 7: Data Lake Integration Design Principles -- Chapter 8: Implementing SQOOP and Flume-based Data Transfers.-Part IV: Transitioning from Relational to NoSQL Design Models -- Chapter 9: Lambda Architecture for Real-time Hadoop Applications -- Chapter 10: Implementing and Optimizing the Transition -- Part V: Case Study for Designing and Implementing a Hadoop-based Solution -- Chapter 11: Case Study: Implementing Lambda Architecture.
520
$a
Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to optimize concurrency, security, denormalization, and performance. Winner of IBM’s 2012 Gerstner Award for his implementation of big data and data warehouse initiatives and author of Practical Hadoop Security, author Bhushan Lakhe walks you through the entire transition process. First, he lays out the criteria for deciding what blend of re-architecting, migration, and integration between RDBMS and HDFS best meets your transition objectives. Then he demonstrates how to design your transition model. Lakhe proceeds to cover the selection criteria for ETL tools, the implementation steps for migration with SQOOP- and Flume-based data transfers, and transition optimization techniques for tuning partitions, scheduling aggregations, and redesigning ETL. Finally, he assesses the pros and cons of data lakes and Lambda architecture as integrative solutions and illustrates their implementation with real-world case studies. Hadoop/NoSQL solutions do not offer by default certain relational technology features such as role-based access control, locking for concurrent updates, and various tools for measuring and enhancing performance. Practical Hadoop Migration shows how to use open-source tools to emulate such relational functionalities in Hadoop ecosystem components. What You'll Learn Decide whether you should migrate your relational applications to big data technologies or integrate them Transition your relational applications to Hadoop/NoSQL platforms in terms of logical design and physical implementation Discover RDBMS-to-HDFS integration, data transformation, and optimization techniques Consider when to use Lambda architecture and data lake solutions Select and implement Hadoop-based components and applications to speed transition, optimize integrated performance, and emulate relational functionalities Who This Book Is For Database developers, database administrators, enterprise architects, Hadoop/NoSQL developers, and IT leaders. Its secondary readership is project and program managers and advanced students of database and management information systems.
650
0
$a
Database management.
$3
557799
650
0
$a
Computer science.
$3
573171
650
0
$a
Data structures (Computer science).
$3
680370
650
0
$a
Logic design.
$3
561473
650
1 4
$a
Database Management.
$3
669820
650
2 4
$a
Computer Science, general.
$3
669807
650
2 4
$a
Data Structures.
$3
669824
650
2 4
$a
Logic Design.
$3
670915
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484212882
776
0 8
$i
Printed edition:
$z
9781484212899
776
0 8
$i
Printed edition:
$z
9781484227626
856
4 0
$u
https://doi.org/10.1007/978-1-4842-1287-5
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入