Database system concepts
- 7th ed.
- Chennai : McGraw Hill India, 2020
- xxviii, 1344 p. ; ill., 24 cm
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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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 analysis