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.

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

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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.

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