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Bitemporal Data

Bitemporal Data
Theory and Practice

by Tom Johnston,Jeremy Faircloth

  • Publisher : Morgan Kaufmann
  • Release : 2014-08-20
  • Pages : 400
  • ISBN : 9780124080676
  • Language : En, Es, Fr & De
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Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL standard that supported it. Currently, among major DBMS vendors, Oracle, IBM and Teradata now provide at least some bitemporal functionality in their flagship products. But to use these products effectively, someone in your IT organization needs to know more than how to code bitemporal SQL statements. Perhaps, in your organization, that person is you. To correctly interpret business requests for temporal data, to correctly specify requirements to your IT development staff, and to correctly design bitemporal databases and applications, someone in your enterprise needs a deep understanding of both the theory and the practice of managing bitemporal data. Someone also needs to understand what the future may bring in the way of additional temporal functionality, so their enterprise can plan for it. Perhaps, in your organization, that person is you. This is the book that will show the do-it-yourself IT professional how to design and build bitemporal databases and how to write bitemporal transactions and queries, and will show those who will direct the use of vendor-provided bitemporal DBMSs exactly what is going on "under the covers" of that software. Explains the business value of bitemporal data in terms of the information that can be provided by bitemporal tables and not by any other form of temporal data, including history tables, version tables, snapshot tables, or slowly-changing dimensions. Provides an integrated account of the mathematics, logic, ontology and semantics of relational theory and relational databases, in terms of which current relational theory and practice can be seen as unnecessarily constrained to the management of nontemporal and incompletely temporal data. Explains how bitemporal tables can provide the time-variance and nonvolatility hitherto lacking in Inmon historical data warehouses. Explains how bitemporal dimensions can replace slowly-changing dimensions in Kimball star schemas, and why they should do so. Describes several extensions to the current theory and practice of bitemporal data, including the use of episodes, "whenever" temporal transactions and queries, and future transaction time. Points out a basic error in the ISO's bitemporal SQL standard, and warns practitioners against the use of that faulty functionality. Recommends six extensions to the ISO standard which will increase the business value of bitemporal data. Points towards a tritemporal future for bitemporal data, in which an Aristotelian ontology and a speech-act semantics support the direct management of the statements inscribed in the rows of relational tables, and add the ability to track the provenance of database content to existing bitemporal databases. This book also provides the background needed to become a business ontologist, and explains why an IT data management person, deeply familiar with corporate databases, is best suited to play that role. Perhaps, in your organization, that person is you.

Bitemporal Data

Bitemporal Data
Theory and Practice

by Tom Johnston

  • Publisher : Newnes
  • Release : 2014-08-19
  • Pages : 400
  • ISBN : 0124080553
  • Language : En, Es, Fr & De
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Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL standard that supported it. Currently, among major DBMS vendors, Oracle, IBM and Teradata now provide at least some bitemporal functionality in their flagship products. But to use these products effectively, someone in your IT organization needs to know more than how to code bitemporal SQL statements. Perhaps, in your organization, that person is you. To correctly interpret business requests for temporal data, to correctly specify requirements to your IT development staff, and to correctly design bitemporal databases and applications, someone in your enterprise needs a deep understanding of both the theory and the practice of managing bitemporal data. Someone also needs to understand what the future may bring in the way of additional temporal functionality, so their enterprise can plan for it. Perhaps, in your organization, that person is you. This is the book that will show the do-it-yourself IT professional how to design and build bitemporal databases and how to write bitemporal transactions and queries, and will show those who will direct the use of vendor-provided bitemporal DBMSs exactly what is going on "under the covers" of that software. Explains the business value of bitemporal data in terms of the information that can be provided by bitemporal tables and not by any other form of temporal data, including history tables, version tables, snapshot tables, or slowly-changing dimensions. Provides an integrated account of the mathematics, logic, ontology and semantics of relational theory and relational databases, in terms of which current relational theory and practice can be seen as unnecessarily constrained to the management of nontemporal and incompletely temporal data. Explains how bitemporal tables can provide the time-variance and nonvolatility hitherto lacking in Inmon historical data warehouses. Explains how bitemporal dimensions can replace slowly-changing dimensions in Kimball star schemas, and why they should do so. Describes several extensions to the current theory and practice of bitemporal data, including the use of episodes, "whenever" temporal transactions and queries, and future transaction time. Points out a basic error in the ISO’s bitemporal SQL standard, and warns practitioners against the use of that faulty functionality. Recommends six extensions to the ISO standard which will increase the business value of bitemporal data. Points towards a tritemporal future for bitemporal data, in which an Aristotelian ontology and a speech-act semantics support the direct management of the statements inscribed in the rows of relational tables, and add the ability to track the provenance of database content to existing bitemporal databases. This book also provides the background needed to become a business ontologist, and explains why an IT data management person, deeply familiar with corporate databases, is best suited to play that role. Perhaps, in your organization, that person is you.

Bitemporal Data

Bitemporal Data
A Book

by Tom Johnston

  • Publisher : Unknown Publisher
  • Release : 2014
  • Pages : 400
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL standard that supported it. Currently, among major DBMS vendors, Oracle, IBM and Teradata now provide at least some bitemporal functionality in their flagship products. But to use these products effectively, someone in your IT organization needs to know more than how to code bitemporal SQL statements. Perhaps, in your organization, that person is you. To correctly interpret business requests for temporal data, to correctly specify requirements to your IT development staff, and to correctly design bitemporal databases and applications, someone in your enterprise needs a deep understanding of both the theory and the practice of managing bitemporal data. Someone also needs to understand what the future may bring in the way of additional temporal functionality, so their enterprise can plan for it. Perhaps, in your organization, that person is you. This is the book that will show the do-it-yourself IT professional how to design and build bitemporal databases and how to write bitemporal transactions and queries, and will show those who will direct the use of vendor-provided bitemporal DBMSs exactly what is going on "under the covers" of that software. Explains the business value of bitemporal data in terms of the information that can be provided by bitemporal tables and not by any other form of temporal data, including history tables, version tables, snapshot tables, or slowly-changing dimensions Provides an integrated account of the mathematics, logic, ontology and semantics of relational theory and relational databases, in terms of which current relational theory and practice can be seen as unnecessarily constrained to the management of nontemporal and incompletely temporal data Explains how bitemporal tables can provide the time-variance and nonvolatility hitherto lacking in Inmon historical data warehouses Explains how bitemporal dimensions can replace slowly-changing dimensions in Kimball star schemas, and why they should do so Describes several extensions to the current theory and practice of bitemporal data, including the use of episodes, "whenever" temporal transactions and queries, and future transaction time Points out a basic error in the ISO's bitemporal SQL standard, and warns practitioners against the use of that faulty functionality. Recommends six extensions to the ISO standard which will increase the business value of bitemporal data Poi ...

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings

by Yahiko Kambayashi,Mukesh Mohania,Czech Republic) Dawak 200 (2003 Prague

  • Publisher : Springer Science & Business Media
  • Release : 2003-08-21
  • Pages : 432
  • ISBN : 354040807X
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification.

Managing Time in Relational Databases

Managing Time in Relational Databases
How to Design, Update and Query Temporal Data

by Tom Johnston,Randall Weis

  • Publisher : Morgan Kaufmann
  • Release : 2010-08-19
  • Pages : 512
  • ISBN : 9780080963372
  • Language : En, Es, Fr & De
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Managing Time in Relational Databases: How to Design, Update and Query Temporal Data introduces basic concepts that will enable businesses to develop their own framework for managing temporal data. It discusses the management of uni-temporal and bi-temporal data in relational databases, so that they can be seamlessly accessed together with current data; the encapsulation of temporal data structures and processes; ways to implement temporal data management as an enterprise solution; and the internalization of pipeline datasets. The book is organized into three parts. Part 1 traces the history of temporal data management and presents a taxonomy of bi-temporal data management methods. Part 2 provides an introduction to Asserted Versioning, covering the origins of Asserted Versioning; core concepts of Asserted Versioning; the schema common to all asserted version tables, as well as the various diagrams and notations used in the rest of the book; and how the basic scenario works when the target of that activity is an asserted version table. Part 3 deals with designing, maintaining, and querying asserted version databases. It discusses the design of Asserted Versioning databases; temporal transactions; deferred assertions and other pipeline datasets; Allen relationships; and optimizing Asserted Versioning databases. Integrates an enterprise-wide viewpoint with a strong conceptual model of temporal data management allowing for realistic implementation of database application development. Provides a true practical guide to the different possible methods of time-oriented databases with techniques of using existing funtionality to solve real world problems within an enterprise data architecture environment. Written by IT professionals for IT professionals, this book employs a heavily example-driven approach which reinforces learning by showing the results of puting the techniques discussed into practice.

Very Large Data Bases

Very Large Data Bases
Proceedings

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Data Engineering

Data Engineering
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1999
  • Pages : 648
  • ISBN : 9780780355811
  • Language : En, Es, Fr & De
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Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data

Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data
SIGMOD '99, Philadelphia, PA, USA, June 1-3, 1999

by Alex Delis,Christos Faloutsos,Shahram Ghandeharizadeh

  • Publisher : Unknown Publisher
  • Release : 1999
  • Pages : 602
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data

Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data
A Book

by Laura Haas,Ashutosh Tiwary

  • Publisher : Assn for Computing Machinery
  • Release : 1998
  • Pages : 599
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Dissertation Abstracts International

Dissertation Abstracts International
The sciences and engineering. B

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2008
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Indexing of Now-relative Bitemporal Data

Indexing of Now-relative Bitemporal Data
A Book

by Rasa Bliujute,Simonas Saltenis,Giedrius Slivinskas

  • Publisher : Unknown Publisher
  • Release : 1998
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2003
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Proceedings of the Twenty-fourth International Conference on Very Large Databases, New York, NY, USA, 24-27 August, 1998

Proceedings of the Twenty-fourth International Conference on Very Large Databases, New York, NY, USA, 24-27 August, 1998
A Book

by Ashish Gupta,Oded Shmueli,Jennifer Widom

  • Publisher : Morgan Kaufmann Pub
  • Release : 1998
  • Pages : 708
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Acta forestalia fennica

Acta forestalia fennica
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1991
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Data Mining, Data Warehousing and Client/Server Databases

Data Mining, Data Warehousing and Client/Server Databases
Proceedings of the 8th International Hong Kong Computer Society Database Workshop

by Joseph Fong

  • Publisher : Springer
  • Release : 1997-10
  • Pages : 332
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Data Mining is used to discover patterns, clusters and models from data which are then rendered in operational forms that are easy for people to visualize and understand, and also to automate knowledge discovery in databases. Data Warehousing is a continual process which enables a corporation to assemble operational and other data from a variety of internal and external sources, and transform that data into consistent, high-quality, business information, distribute that information to the points of maximum value within the organizations, and provide easy, flexible and fast access for busy non-technical users. A client/server database system increases processing power by separating the database management system from the application; the client as the front-end system handling the user interface and the server as the back-end system accessing the database, which cooperate to run an application. The Program Committee have selected 21 papers to be presented in the Academic Program at the Workshop. The papers cover all three themes and address both theoretical issues and practical applications. A special track devoted to industrial applications has been included in the Workshop to reflect the strong interest from representatives of commerce and industry.

Data & Knowledge Engineering

Data & Knowledge Engineering
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1995
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Managing Time in a Data Warehouse

Managing Time in a Data Warehouse
A Book

by Dirk Lerner

  • Publisher : Unknown Publisher
  • Release : 2020
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Recorded live at Data Modeling Zone! Follow along with data modeling expert Dirk Lerner and learn the approaches for managing time and history in a data warehouse. "Over time, things change - things like customers, products, accounts, and so forth. But most of the data we keep about things describes what they are like currently, not what they used to be like. When things change, we update the data that describes them so that the description remains current. But all these things have a history, and many of them have a future as well, and often data about their past or about their future is also important." - Tom Johnston Today, most data warehouses already store the history of the data. But what about events that took place at a different time than what the data warehouse represents to us? Or data that will be valid in the future? For example, generally planned prices for products and goods in the future or special prices for discount battles around "Black Friday". The speaker will focus in this session on the method and techniques for storing temporal and bitemporal data in a Data Warehouse. He will show bitemporal basics for a better understanding of loading data as well as the concepts to develop SQL Queries to insert and update temporal data within a Data Warehouse. What attendees will learn in this session: Basic bitemporal concepts Examples of data modeling a bitemporal Database Object Load bitemporal data into a Data Warehouse Examples of SQL Queries to insert and update temporal data.

On the Use of Spatial Indexing for Now-relative Bitemporal Data

On the Use of Spatial Indexing for Now-relative Bitemporal Data
A Book

by Sankalp Khanna

  • Publisher : Unknown Publisher
  • Release : 2003
  • Pages : 286
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Recent Advances in Temporal Databases

Recent Advances in Temporal Databases
Proceedings of the International Workshop on Temporal Databases, Zurich, Switzerland, 17–18 September 1995

by James Clifford,Alexander Tuzhilin

  • Publisher : Springer
  • Release : 1995-09-29
  • Pages : 360
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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This volume contains papers presented at the International Workshop on Temporal Databases, held in Zurich, Switzerland, from 17-18 September 1995. The papers cover a wide range of topics from the highly theoretical through to reports on how temporal data bases can be used to solve real problems. In addition to the technical papers, there are also summaries of two panel discussions which assess the recently-completed TSQL2 Language Design, and examine the need for additional research into the development of TSQL3. Together these papers provide a comprehensive overview of the latest research work into the area of temporal databases. They will provide invaluable reading for researchers, postgraduate students and practitioners.

Conceptual Modeling--ER ...

Conceptual Modeling--ER ...
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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