Database system concepts

By:

Silberschatz, Abraham

Contributor(s):

Material type: Text

TextLanguage: ENG Publication details: Chennai: McGraw Hill Education (India) Pvt. Ltd, c2020.Edition: 7th edDescription: xxviii, 1344p. : ill, pbk. ; 23cmISBN:

9789390727506

Subject(s):

DDC classification:

005.74 SIL 23rd

Summary: Database System Concepts presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible. A familiarity with basic data structures, computer organization, and a high-level programming language are the only prerequisites. Important theoretical results are covered, but formal proofs are omitted. In place of proofs, figures and examples are used to suggest why a result is true. Extensive coverage of Big Data systems, from the user perspective, as well as from an internal perspective with extensive additions and modifications. A new chapter, Blockchain Databases that introduces blockchain technology and its growing role in enterprise applications. Updates in all chapters covering database internals to reflect current-generation technology, such as solid-state disks, main-memory databases, multi-core systems, and column-stores. Enhanced coverage of semi-structured data management using JSON, RDF, and SPARQL. Updated coverage of temporal data, data analytics, and advanced indexing techniques such as write-optimized indices. Reorganization and revision of chapters to better support courses with a significant hands-on component including use of current-generation application development tools and Big Data systems such as Apache Hadoop and Spark. Includes illustrations, appendices and index.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Vigyanpuri Campus	005.74 SIL (Browse shelf(Opens below))	Available		007163

Database System Concepts presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible. A familiarity with basic data structures, computer organization, and a high-level programming language are the only prerequisites. Important theoretical results are covered, but formal proofs are omitted. In place of proofs, figures and examples are used to suggest why a result is true.

Extensive coverage of Big Data systems, from the user perspective, as well as from an internal perspective with extensive additions and modifications.

A new chapter, Blockchain Databases that introduces blockchain technology and its growing role in enterprise applications.

Updates in all chapters covering database internals to reflect current-generation technology, such as solid-state disks, main-memory databases, multi-core systems, and column-stores.

Enhanced coverage of semi-structured data management using JSON, RDF, and SPARQL.

Updated coverage of temporal data, data analytics, and advanced indexing techniques such as write-optimized indices.

Reorganization and revision of chapters to better support courses with a significant hands-on component including use of current-generation application development tools and Big Data systems such as Apache Hadoop and Spark.

Includes illustrations, appendices and index.

There are no comments on this title.

to post a comment.