Database system concepts
Silberschatz, Abraham
Database system concepts - 7th ed. - Chennai: McGraw Hill Education (India) Pvt. Ltd, c2020. - xxviii, 1344p. : ill, pbk. ; 23cm
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.
9789390727506 = Computer Sciences
Computer Sciences
Computer Programming, Programs, Data
Data files and Databases.
005.74 / SIL
Database system concepts - 7th ed. - Chennai: McGraw Hill Education (India) Pvt. Ltd, c2020. - xxviii, 1344p. : ill, pbk. ; 23cm
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.
9789390727506 = Computer Sciences
Computer Sciences
Computer Programming, Programs, Data
Data files and Databases.
005.74 / SIL