Database System Concepts
Language: English Publication details: New Delhi McGraw Hill Education pvt. ltd. 2021 Edition: 7th ed. EdDescription: xxviii,1344pISBN: 9789390727506Subject(s): COMPUTER SCIENCEDDC classification: 5.74 Summary: 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.| Item type | Home library | Call number | Status | Date due | Barcode |
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S. Vs Sridora Caculo College of Commerce & Management Studies, khorlim, Mapusa | 5.74 SIL/DAT (Browse shelf(Opens below)) | Available | SVS-CA966 | |
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Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora | 5.74 SIL/DAT (Browse shelf(Opens below)) | Available | SPE-3335 | |
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Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora | 5.74 SIL/DAT (Browse shelf(Opens below)) | Available | SPE-3336 |
Browsing Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora shelves Close shelf browser (Hides shelf browser)
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| 5.74 ELM-NAV FUNDAMENTALS OF DATABASE SYSTEMS | 5.74 ELM-NAV FUNDAMENTALS OF DATABASE SYSTEMS | 5.74 ELM-NAV FUNDAMENTALS OF DATABASE SYSTEMS | 5.74 SIL/DAT Database System Concepts | 5.74 SIL/DAT Database System Concepts | 5.8 BRI/COM COMPUTER FORENSICS AND CYBER CRIME :AN INTRODUCTION | 5.8 PFL-PFL SECURITY IN COMPUTING |
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.
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