Database System Concepts
Siliberschatz, Abraham
Database System Concepts - 7th ed. Ed. - New Delhi McGraw Hill Education pvt. ltd. 2021 - xxviii,1344p
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.
salient features:
1) extensive coverage of big data systems, from the user perspective, as well as from an internal perspective with extensive additions and modifications
2) a new Chapter, Blockchain databases that introduces Blockchain technology and its growing role in enterprise applications
3) 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
4) enhanced coverage of semi-structured data management Using JSON, rdf, and sparql
5) updated coverage of temporal data, data analytics, and Advanced indexing techniques such as write-optimized Indices
6) 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.
9789390727506
COMPUTER SCIENCE
5.74 / SIL/DAT
Database System Concepts - 7th ed. Ed. - New Delhi McGraw Hill Education pvt. ltd. 2021 - xxviii,1344p
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.
salient features:
1) extensive coverage of big data systems, from the user perspective, as well as from an internal perspective with extensive additions and modifications
2) a new Chapter, Blockchain databases that introduces Blockchain technology and its growing role in enterprise applications
3) 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
4) enhanced coverage of semi-structured data management Using JSON, rdf, and sparql
5) updated coverage of temporal data, data analytics, and Advanced indexing techniques such as write-optimized Indices
6) 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.
9789390727506
COMPUTER SCIENCE
5.74 / SIL/DAT