東華大學圖書館 |

語系: 繁體中文

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

SQL and NoSQL databases = modeling, ...

Kaufmann, Michael.

FindBook

Google Book

Amazon

博客來

SQL and NoSQL databases = modeling, languages, security and architectures for big data management /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	SQL and NoSQL databases/ by Michael Kaufmann, Andreas Meier.
其他題名:	modeling, languages, security and architectures for big data management /
作者:	Kaufmann, Michael.
其他作者:	Meier, Andreas.
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xiv, 254 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Non-relational databases. -
電子資源:	https://doi.org/10.1007/978-3-031-27908-9
ISBN:	9783031279089

SQL and NoSQL databases = modeling, languages, security and architectures for big data management /
Kaufmann, Michael.

SQL and NoSQL databasesmodeling, languages, security and architectures for big data management /[electronic resource] :by Michael Kaufmann, Andreas Meier. - Second edition. - Cham :Springer Nature Switzerland :2023. - xiv, 254 p. :ill. (some col.), digital ;24 cm.

This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques and examine upcoming innovations. In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained. This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases. The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.

ISBN: 9783031279089

Standard No.: 10.1007/978-3-031-27908-9doiSubjects--Topical Terms:

2045847
Non-relational databases.

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.758

SQL and NoSQL databases = modeling, languages, security and architectures for big data management /
LDR:03049nmm a2200325 a 4500 001 2332044
003 DE-He213
005 20230629194410.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031279089 $q (electronic bk.)
020 $a 9783031279072 $q (paper)
024 7 $a 10.1007/978-3-031-27908-9 $2 doi
035 $a 978-3-031-27908-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D32
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.D32 $b K21 2023
100 1 $a Kaufmann, Michael. $3 858255
245 1 0 $a SQL and NoSQL databases $h [electronic resource] : $b modeling, languages, security and architectures for big data management / $c by Michael Kaufmann, Andreas Meier.
250 $a Second edition.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xiv, 254 p. : $b ill. (some col.), digital ; $c 24 cm.
520 $a This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques and examine upcoming innovations. In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained. This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases. The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.
650 0 $a Non-relational databases. $3 2045847
650 0 $a SQL (Computer program language) $3 606987
650 1 4 $a Database Management. $3 891010
650 2 4 $a Data Science. $3 3538937
650 2 4 $a Data Storage Representation. $3 892664
700 1 $a Meier, Andreas. $3 1002943
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-27908-9
950 $a Computer Science (SpringerNature-11645)