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Database Management System:

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Bibliographic Details
Main Authors:	Bhatia, Ashima Bhatnagar (Author), Bansal, Vaibhav (Author)
Format:	Book
Language:	English
Published:	Oxford Alpha Science Internat. 2015
Subjects:	Datenbankverwaltung
Online Access:	Inhaltsverzeichnis
Physical Description:	XIV, 458 S. 24 x 19 cm
ISBN:	9781842659205

Staff View

MARC


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Record in the Search Index

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adam_text	Contents Preface Introduction to Database Systems .1.1 Basic Concepts .I.I Data .I.I Reasons Why Your Organization Needs Data .I.I Information .1.2 Knowledge .1.2 Wisdom .1.3 Record .1.3 File .1.4 Data Dictionary .1.4 Introduction to Database Systems .1.4 Types of Databases .1.5 ι >breet-( )nented-databases .1.8 ( ompanson to Relational Databases .1.9 < )bieet Persistence .I» \Uien to 1 se ( >biect Databases .1.4 ( »hject Database Advantages over RDBMS .1.10 Object Database Disadvantages compared to RDBMS . I.N» ( łhject-Relational Database 1 W ( iTíiparisoíi between Object - < >nented database and ( )bject- RcLitional Database .1.10 .ι Components of DBMS .1.11 Characteristics of the Database Approach .1.13 Functions of DBMS .1.14 Classification of DBMS .1.17 Comparison of Traditional File-based Approach and Database Approach .1.17 File System Versus a DBMS . 1.20 Disadvantages of File System over DBMS .1.21 Advantages and Disadvantages of a DBMS .1.23 Advantages of Database Systems . 1.23 Disadvantages of using a DBMS .1.25 Definition of Describing and Storing Data in a DBMS .1.26 Types of DBMS Languages and Interfaces .1.27 Queries in a DBMS .1.31 Structure oía DBMS .1.31 People Who Deal vv ith Database . 1.33 DBA Responsibilities . 1.34 Architecture oi DBMS . 1.36 Mapping .1.36 2. Introduction to Data Models .2.1 Introduction .2. 1 Data Modelling Concept .21 viii (onici π 3. Record- Based Data Model .2.2 Types of Data Models .2.2 Network Hierarchy .2.5 Network Constraints .2.6 Relational Model .2.6 Object Relational Model .2.7 Object-Oriented Model .2.8 Semistructurcd Model .2.10 Associative Model .2.10 Entity-Attribute-Value (EAV) Data Model .2.11 Physical Data Models .2.13 Conceptual Modelling .2.14 Comparison of Network, Hierarchical and Relational Models .2.15 Hierarchical Database Model (HDBM) .2.15 Network Database Model (NDBM) .2.16 Relational Database Model (RDBM) .2.16 Différence between Three Models .2.16 Centralized and Distributed Daub«· System .3.1 Introduction .3.1 Ccntrah/cd Database .3.1 Distributed Database .3.1 Components of a Distributed DBMS .3.2 Overview of Centralized and Client Server Database Systems .3.2 Distributed Database vs Centralized Database .3.3 Difference between Distributed Database and Centralized Database .3.4 Parallel versus Distributed Computers .3.4 Shared-Memory Multiprocessors .3.6 Distributed-Memory Multicomputer .3.7 SIMD Machines .3.8 Distributed Computers .3.9 Query Processing in Distributed Database .3.10 Objectives of Distributed Query Processing .3.11 Phases in Distributed Query Processing .3.11 Advantages of Data Distribution .3.12 Data sharing and Distributed Control .3.12 Reliability and Availability .3.13 Speedup Query Processing .3.13 Data Fragmentation .3.13 Horizontal Fragmentation .3.14 Vertical Fragmentation .3.15 Data Replication and Allocation .3.16 Remote Backup Systems .3.17 Centralized Backup .3.19 Remote Backup Appliance .3.19 Disaster Recovery Technologies .3.20 Disaster Recovery Plan (DRP) .3.20 Date's 12 Objectives for Distributed Database Systems .3.21 Advantages and Disadvantages of Distributed DBMS .3.22 Some Objectives in Distributed Databases .3.23 Homogeneous and Heterogeneous Distributed DBMSs .3.24 Transaction Processing in a Distributed System .3.24 Evaluating Remote Data backup and Recovery Options .3.25 In-House Remote Data Backup .3.25 Cloud Data Backup Services .3.26 Data Replication and Disaster Recovery .3.26 Data Dedupl ¡cation and Remote Backup .3.26 Continuous Data Protection and Remote Backup .3.27 Entity Relationship Model .4.1 Overview of Database Design .4.1 Entity Relationship Model (Е -R Model) .4.2 Entities .4.3 5. (.onu 'lit IX Entity Types .4.3 Data Processing Activities .5.2 Strong Entity 4 3 Comparing .5.4 Weak Entity .4.4 The Data Processing Cycle .5.5 Recursive Entity .4.5 Computer Processing Operations .5.6 Entity Set .4.7 Data Processing System .5.6 Attributes .4.7 Data Organisation .5.7 Types of Attributes .4.7 Data Item .5.7 Simple and Composite Attribute .4.7 Field .5.7 Domain .4.9 Record .5.7 Null Values .4.9 File .5.8 Single-valued and Multi-valued Database .5.8 Attribute .4.10 Variable and Fixed Length Records .5.8 Stored and Derived Attributes .4.11 Fixed Length Records .5.8 Complex Attribute .4.12 Variable Length Records .5.8 Relationships .4.12 Logical Versus Physical Record .5.8 Relationship Type .4.12 6. File Organization .6.1 Relationship Set .4.13 Physical Database Design Issues .6.1 Degrees of Relationship (Cardinality) .4.13 Designing the Fields in the Database .6.1 Representing Relationship Types .4.15 Physical Records .6.2 Relationship Degrees .4.15 Storage of Database on Hard Disks .6.2 Should a Concept be Modeled as an Entity or an Attribute.' .4.16 File Organization and its Types 63 Heap Files (Unordered File) 65 Should a Concent be Modelled as I an Entity or a Relationship'.' .4.17 Sequential Access Method .6.5 Should we use Binary or Ternary Direct Access Files Organization .6.6 Relationships' .4.17 Indexed Sequential Access Organization. .6.7 (lass Hierarchies .4.19 Various Data Storage and Retrieval Inheritance .4.19 Methods .6.7 Specialization .4.20 Hashed File Organization .6.8 Generalization .4.20 Index and Tree Structure .6.8 Acurccation .4.21 Importance of File Organization in Database .6.9 Eniitv \ersu» Attribute .4.22 Entitv Versus Relationship .4.24 7. Relational Model .7.1 Limitations ol the ER Model .4.24 Introduction .7.1 Relation 7 1 Data Processing Concepts .5.1 Properties of a Relation .Л5 Introduction . .5.1 ■ · · · ^' »ł * · v A4 г\ . Keys of a Relation .7.6 Data .>. 1 Relational Schema .Λ7 Data Processing .5 1 Types of Constraints .7.8 Information .5.1 NOT NULL Constraints .7.9 t Contri» Unique Constraints Primary Key Constraints (Table) Check Constraints Informational Constraints Integrity Constraints General Integrity Constraints Referential Integrity Constraints Overlapping Primary Key and Foreign Key Constraints Preservation of Integrity Constraints Locking Integrity Constraints Specifying Integrity Constraints Indexes and Integrity Constraints Logical Database Design Destroying, Altering Tables and Views Tables ALTF.R TABLE Statement Removing Table Columns Views Codd's Rules .7.9 .7.10 .7.10 .7.11 .7.12 .7.12 .7.12 .7.13 .7.13 .7.14 .7.15 .7.15 .7.15 .7.16 .7.16 .7.16 .7.17 .7.17 .7.17 Schema Refinement and 9. Normal Forma .8.1 Introduction .8.1 View .8.1 Schema .8.1 Table .8.2 instance .8.2 Database .8.2 Need for Schema Refinement .8.3 Dements of Redundancy .8.3 Anomalies in Database .8.3 Examples Motivating Schema Refinement .8.4 Decomposition .8.4 Purpose of Decomposition .8.4 Problems Related lo Decomposition .8.4 Loosy Décomposition .8.4 Lotties* Decomposition .8.5 Dependency Preserving Decomposition .8.5 Algorithm to check for Dependency Preservation -8.5 Multi- Valued Dependencies .8.6 Functional Dependencies .8.6 Armstrong's Axioms -8.7 Example Functional Dependencies .8.7 Trivial Functional Dependency .8.8 FD Axioms -.8.8 Closure -8.8 Normal Forms -8.9 Un-Normalized Form (UNF) -8.9 First Normal Form (INF) -8.10 Second Normal Form (2NF) -8.10 Third Normal Form (3NF) .8.11 Boyce-Code Normal Form (BCNF) .8.12 Fourth Normal Form (4NF) -8.13 Fifth Normal Form (5NF) -8.15 Normalization vs Denormalization .8.16 Difference between Normalization and Denormalization .8.17 SQL Queries .9.1 The Form of a Basic SQL Query .9.1 What is SQL? .9.1 SELECT Statements .9.2 SQL Clauses .9.2 SQL Terms .9.2 Basic SQL Clauses: SELECT, FROM and WHERE .9.3 The SELECT Clause -9.3 Select all Fields -9.4 Select Distinct Values -9.4 Select by using an Expression -9.5 The FROM Clause .9.5 Specify Data Sources .9.5 Use Substitute Names for Data Sources .9.5 Join Related Data .9.6 Inner Joins .9.6 Outer Joins .9.7 Tbe WHERE Clause .9.7 Coturni xi Limit Results by using Criteria WHERE Clause Syntax Use the WHERE Clause to Combine Data Sources The ORDER BY Clause The GROUP BY and HAVING Clause . Conditions and Logic UNION What does a Union Query do? Union Query Requirements SQL Syntax of a Union Query SQL Aggregate Functions Avg Function Syntax Avg(expr) Count Function Syntax Count (expr) Min, Max Functions Syntax Min(expr) and Max(expr) StDev, StDevP Functions Syntax StDev(expr) and StDevP(expr) . Sum Function Syntax. Sum(expr) Var, VarP Functions Syntax Var(expr) and VarP(expr) Nested Queries Null Values 10. Relational Algebra and Calculus Relational Algebra Relational Calculus Comparison between Relational Algebra and Relational Calculus PROJECT Sequences oř Operations RENAME Operations from Set Theory Union R <cup> S Intersection R <cap> S Set Difference (MINUS) R-S Cartesian Product (Cross Product) R'S .9.8 Binary Relational Operations .10.5 .9.8 EQUIJOIN .10.5 Natural Join .10.5 .9.9 Complete Set of Relational Algebra .9.9 Operators .10.5 .9.10 Notation for Query Trees .10.6 .9.13 Relational Calculus .10.6 .9.14 Tuple Relational Calculus .10.6 .9.15 Domain Relational Calculus .10.6 .9.15 Tuple Oriented Relational Calculus .10.8 .9.16 Expressions and Formulas .10.9 .9.17 Examples in QUEL (based on Tuple .9.17 Calculus) .10.10 .9.17 Updation in QUEL .10.11 .9.18 Insertion in QUEL .10.11 .9.18 Deletion in QUEL .10.11 .9.19 Domain Oriented Relational .9.19 Calculus .10.11 .9.19 Free and Bound Variables .10.12 .9.19 Relational Algebra .10.13 .9.19 Set Operations on Relations .10.13 .9.20 Selection .10.13 .9.20 Projection .10.14 9.20 Join .10.14 9.20 Example Use of Project and Join .10.14 9.21 Implementing Set Operations .10.15 .10.1 Implementing Projection .10.15 10.1 Implementing Selection .10.16 10.1 Implementing Join with Nested Loops .10.16 .10.2 Index Join .10.16 .10.3 Sort Join .10.16 .10.4 Comparison of Join Implementations . .10.17 .10.4 Expressing Queries in Relational .10.4 Algebra .10.17 .10.4 Algebraic Laws for Join .10.17 .10.4 Algebraic Laws for Selection .10.18 .10.4 ProjectfselectOoiníjoiníjoinfCSG, SNAP), CDH ). CR). P). Room) .10.19 m j Algebraic Laws for Projection .10.20 lii Contrit! 11. Transaction Management .11.1 Introduction .11. 1 The hour Properties of Transactions _11-1 Transaction States .11.3 Concurrent hxecution .11.3 Serializability .11.5 Conflict Serializability .11.6 12. Concurrency Control .12.1 Introduction .12.1 Concurrency Issues .12.1 Concurrency Control in Federated Database Systems .12.2 Isolation Levels and Performance .12.2 Reneatable Read .12.3 Read Stability .12.3 Cursor Stability .I2.4 Uncommitted Read .12.4 Summan of Isolation Levels .12.5 Locks and Concurrency Control .12.6 Lock Attributes .12.7 Lock Conversion .12.9 Deadlocks .12.9 Default Deadlock ľvent Monitor .12.1! Concurrency Control based on Timcstamp Ordering .12.11 Time Stamp Ordering Algorithm .12.11 Basic Time Stamp Ordering .12.12 Stnct Time Stamp Ordering .12.13 Multi-version Concurrency Control Techniques .12.13 Multi-version Technique based on Timcsiamp Ordering .12.13 Multi-version Two-Phase Locking using Certify Locks .12.14 13. Database Recovery Techniques .13.1 Introduction .13.1 Recovery Techniques based on Deferred Update .13.1 Recovery Techniques based on Immediate Update .13.3 Shadow Paging Recovery Techniques .13.4 Database Backup and Recovery from Catastrophic Failures .13.7 14. Database Security -14.1 Introduction .14.1 Access Control Policies .14.3 Relational Databases and SQL .14.4 SQL Privileges -I4-5 Privilege Management .14.6 Views and Routines . 14.8 Integrity Constraints .14.9 Multilevel Secure Databases .14.12 Inference Problems .14.12 Database Security .14.14 Database Design .14.15 Designing Databases . 14.16 Connecting to Database .14.16 Encrypted Storage Model .14.16 SQL Injection .14.17 Top 10 Security Issues .14.17 15. Query Processing and Optimization .15.1 Introduction .15.1 Overview of Query Processing . 15.1 Using Heuristic in Query Optimization. 15.2 Transformation of Relational Expression .15.3 Equivalence Rules for Transforming Relational Expressions .15.3 Example of Transformation . 1 5.5 Heuristic Algebraic Optimization Algorithm .15.6 Converting Query Tree to Query Evaluation Plan . 15.7 Materialization .15.7 Pipelining .15.8 Cost Estimates in Query Optimization .15.8 Measure of Query Cost .15.8 Catalog Information for Cost Estimation .15.9 Example of Cost Functions for Selection .15.9 16. Data Warehousing and Data Mining .16.1 Data Warehousing . 1 6. 1 The Data Warehousing Process . 1 6.2 Data Warehousing is an Evolutionary Iterative Process that follows a Spiral Pattern .1 6.3 The Warehouse Populating Process . 1 6.4 Complexity of Transformation and Integration .1 6.4 OLTP (Online Transaction Processing). 1 6.5 OLTP vs. OLAP .16.6 Contrasting OLTP and Data Warehousing [Environments .16.7 Data Mart Concepts . 16.9 Different from a Data Warehouse .16.10 Dependent and Independent Data Marts .16.10 lhe Steps in Implementing a Data Mart .16.11 Criteria for a Data Warehouse DBMS Selection .I6 12 Data Mining .16. 13 Kinds of Information .16. 14 Data Mining and Know ledge Discovery .16. 15 Kind of Data can be Mined .16. 17 ( ategon/c of Data Mining Systems .16. 20 Isnucs in Data Mining .16 .21 Umidirli; a ІУліа Warehouse .16 .23 17. Concept of Objects .17.1 Table .I 7.1 Column Name I 7.1 Length от Preci>Jt>n . I - 1 Creating a Table by using the Table Wizard I - 1 Create a Form by using the lumi tool I ~> ţ Fine-tune your Fumi in Layout view I "S Fine-tune vour Form in Design v tew I ( ЛИ IK •111 XIII Query .17.9 The Result .1 7.11 Report .1 7.13 Choose a Record Source .] 7.13 Create a Report by using the Report Tool .1 7.13 Create a Report by using the Report Wizard .1 7.14 Create Labels by using the Label Wizard .1 7.14 Create a Report by using the Blank Report Tool .1 7.14 Understand the Report Sections .1 7.15 Understand Controls .1 7.15 Add fields from the Field List Pane .1 7.17 Add Controls to the Report .1 7. IS Determine the name of a tool .1 7. IS Display the Property Sheet .1 7. IS Save Your Work .1 7.19 Save your Report Design .1 7.19 Save Your Report Design Under a new Name .1 7.19 View. Print, or Send Your Report as an e-mail Message . .1 7.19 View Your Report .1 7.19 View your Report in Report View .1 7.19 Work with your Data in Report View .1 7.20 Show only the Rows you Want by using Fillers .1 7.20 Create a More Detailed Filter .1 7.20 Toggle a Filter ( )n and ( )fl' .1 7.20 Remove a Filter .1 7.20 Preview Your Report by using Print Prev îevs . .1 "21 Pnnt your Report .! 7.21 Change the Page Settings . I "21 Send your Report to a Printer .1 ^.22 Macro .1 Til Module .I "24 Creating a Module .1 7.25 Procedure .1 "26 liv Creating a Procedure .17.26 End Sub .17.27 Pages .17.28 Different Types of Data Access Pages .17.28 18. Emtrging Databas· Technologies and Applications .18.1 Internet Database .18.1 Mobile Databases .18.1 Mobile Computing Architecture .18.1 Wireless Communications .18.2 Client/Network Relationships .18.3 Characteristics of Mobile Environments .18.3 Data Management Issues .18.4 Application: Intermittently Synchronized Databases .18.5 Multimedia Databases .18.5 Data Management Issues .18.6 Multimedia Database Applications .18.7 Géographie Information Systems .18.7 GIS Applications -18.7 Data Management Requirements ofGIS .18.8 Specific GIS Data Operations .18.9 Genome Data Management .18.9 Characteristics of Biological Data .18.10 The Human Genome Project and Existing Biological Databases .18.11 GenBank .18.11 The Genome Database (GDB) .18.11 Online Mendelian Inheritance in Man .18.12 EcoCyc .18.12 Gene Ontology .18.13 World Wide Web Access . 18.14 Digital Libraries .18.14 Spatial Database System .18.15 19. Some ER Diagram Examples .19.1 20. Glossary .20.1 21. MCQ's .21.1 Index ƒ.ƒ
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author	Bhatia, Ashima Bhatnagar Bansal, Vaibhav
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spelling	Bhatia, Ashima Bhatnagar Verfasser (DE-588)1067090274 aut Database Management System Ashima Bhatnagar Bhatia ; Vaibhav Bansal Oxford Alpha Science Internat. 2015 XIV, 458 S. 24 x 19 cm txt rdacontent n rdamedia nc rdacarrier Datenbankverwaltung (DE-588)4389357-0 gnd rswk-swf Datenbankverwaltung (DE-588)4389357-0 s DE-604 Bansal, Vaibhav Verfasser (DE-588)1067090355 aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027729180&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Bhatia, Ashima Bhatnagar Bansal, Vaibhav Database Management System Datenbankverwaltung (DE-588)4389357-0 gnd
subject_GND	(DE-588)4389357-0
title	Database Management System
title_auth	Database Management System
title_exact_search	Database Management System
title_full	Database Management System Ashima Bhatnagar Bhatia ; Vaibhav Bansal
title_fullStr	Database Management System Ashima Bhatnagar Bhatia ; Vaibhav Bansal
title_full_unstemmed	Database Management System Ashima Bhatnagar Bhatia ; Vaibhav Bansal
title_short	Database Management System
title_sort	database management system
topic	Datenbankverwaltung (DE-588)4389357-0 gnd
topic_facet	Datenbankverwaltung
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027729180&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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