Database system concepts By Abraham Silberschatz; Henry F Korth; S Sudarshan

By:

Silberschatz, Abraham Korth, Henry F & S Sudarshan

Material type: Text

TextPublication details: India: McGrawHill Education, c2020.Edition: 7th EdDescription: i-xxviii+1344PISBN:

9789390727506

Subject(s):

https://www.worldcat.org/search?q=su%3ADatabase+management.&qt=hot_subject

DDC classification:

005.74 SIL-D;5

Contents:

Part one : Relational languages -- Part two : Database design -- Part three : Application design and development -- Part four : Big data analytics -- Part five : Storage management and indexing -- Part six : Query processing and optimization -- Part seven : Transaction management -- Part eight : Parallel and distributed databases -- Part nine : Advanced topics.

Summary: Extensive coverage of Big Data systems, from the user perspective (Chapter 10), as well as from an internal perspective (Chapters 20 through 23).Updates to all the internal chapters to reflect current-generation technology, such as solid-state disks, main-memory databases, multi-core systems, and parallel and distributed databases.Coverage of semi-structured data management using JSON, RDF, and Updated coverage of temporal data, data analytics, and advanced indexing techniques such as write-optimized indices.Reorganization and update 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.New chapter on Blockchain Databases (Chapter 26) that introduces blockchain technology and its growing role in enterprise applications."

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	005.74 SIL-D;5 (Browse shelf(Opens below))	Available		DCB4070

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Part one : Relational languages --
Part two : Database design --
Part three : Application design and development --
Part four : Big data analytics --
Part five : Storage management and indexing --
Part six : Query processing and optimization --
Part seven : Transaction management --
Part eight : Parallel and distributed databases --
Part nine : Advanced topics.

Extensive coverage of Big Data systems, from the user perspective (Chapter 10), as well as from an internal perspective (Chapters 20 through 23).Updates to all the internal chapters to reflect current-generation technology, such as solid-state disks, main-memory databases, multi-core systems, and parallel and distributed databases.Coverage of semi-structured data management using JSON, RDF, and Updated coverage of temporal data, data analytics, and advanced indexing techniques such as write-optimized indices.Reorganization and update 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.New chapter on Blockchain Databases (Chapter 26) that introduces blockchain technology and its growing role in enterprise applications."

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