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Database system concepts

By: Silberschatz, Abraham.
Contributor(s): Korth, Henry F | Sudarshan, S.
Publisher: Chennai : McGraw Hill India, 2020Edition: 7th ed.Description: xxviii, 1344 p. ; ill., 24 cm.ISBN: 9789390727506.Subject(s): Database management | Aborted transactions | Aggregate functions | Bigtable | Binary relationship set | Blockchain data bases | Bloom filters | B+trees | Distributed query processing | Django framework | Entity-relqationship (E-R) model | Ethereum | Five minute rule | Intermediate SQL | Kafka system | Leaf nodes | Max function | Markle tree | MongoDB | NoSQL systems | Paxos protocol | Persistent messaging | Public blockchains | Queueing theory | Relational database design | R-trees | Shared nothing- architecture | Tamper resistance | Throughput test | Weak entity sets | Performance tuning | Big data analysisDDC classification: 005.74 Summary: What's new in the 7th edition?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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Includes bibliographical references and index.

What's new in the 7th edition?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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