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Chapter 4
Chapter 4

... A data management system must be able to carry out the following operations: Create: accept new data and create entries in the database.  Retrieve: find and read the data that the information system and its users require.  Update: allow existing data to be changed.  Delete: permit unneeded data t ...
Data Management for P2P Computing: A Vision
Data Management for P2P Computing: A Vision

... of possible relation extensions (CWA).  Define relational multi-context system as a family of relational languages (one per database) with a generalized relational theory (in T) and a set of coordination formulas (in R) for each one.  Prove that for any relational multi-context system, there ...
Creating Databases
Creating Databases

... – Governs the size of the large portion of the SGA and can have profound effect on performance – Size of each buffer is determined by DB_BLOCK_SIZE ...
cos346day6
cos346day6

... DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall ...
Data Management for P2P Computing: A Vision
Data Management for P2P Computing: A Vision

... of possible relation extensions (CWA).  Define relational multi-context system as a family of relational languages (one per database) with a generalized relational theory (in T) and a set of coordination formulas (in R) for each one.  Prove that for any relational multi-context system, there ...
Technical Note
Technical Note

... only options were list or hash sub-partition it. So we chose to sub-partition each range partition in to 16 hash-subpartitions. We use 16 concurrent instances of TL_TIMEADMIN to process this data and we distribute employees to processes by the same hash function so that each partition is only refere ...
sql database server architectures
sql database server architectures

... The benchmarks are from our book; Client/Server Programming with OS/2, Third Edition (Wiley, 1993). The book contains about 100 pages of code for running these benchmarks. The benchmarks were run on a slow .488-class machine; they do not represent best-case performance. ...
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xml

... – How are we going to model XML? (graphs). – How are we going to query XML? (XML-QL) – How are we going to store XML (in a relational database? object-oriented?) – How are we going to process XML efficiently? ...
Narration Script: Slide 1: Oracle Database 11g Express Edition
Narration Script: Slide 1: Oracle Database 11g Express Edition

... Oracle Database Express Edition groups related information into logical structures called schemas. The logical structures are called schema objects. When you connect to the database by providing your user name and password, you specify the schema and indicate that you are its owner. In Oracle Datab ...
Introductory slides for JDBC & Java Servlets
Introductory slides for JDBC & Java Servlets

... – E.g., results page from search engines and orderconfirmation pages at on-line stores • The Web page is derived from data that changes frequently ...
On Designing a Database for Integrated User Management: Pitfalls and Possibilities
On Designing a Database for Integrated User Management: Pitfalls and Possibilities

... such as which employees have access rights on a specific system. Employees may also have different user account names on different systems. Organizations have often chosen not to deal with this problem, as they understand it to be vicious cycle. If the organization could track all of its IT users a ...
KorthDB6_ch2
KorthDB6_ch2

... Example: {ID} is a candidate key for Instructor  One of the candidate keys is selected to be the primary key. ...
bachelor of computer science (database management) - FTMK
bachelor of computer science (database management) - FTMK

... Whitten, J., Bentley L. & Dittman, K. 2001. Systems Analysis and Design Methods, McGraw-Hill. Masrek, M. N., Abdul Rahman, S. & Abdul Jalil, K. 2001. Analisis & Rekabentuk Sistem Maklumat. McGraw-Hill. Kendall, K. E. & Kendall, J. E. 2002. System Analysis and Design. Prentice Hall. Shelly, G., Cashm ...
Big data as the new enabler in business and other
Big data as the new enabler in business and other

... • appropriate implementations and execution environments for these programming models and paradigms. Regarding hardware solutions for processing big data, we refer the reader to [20]. Also relevant in this context is a revival of main memory or in-memory database technology, a development that was f ...
BCS THE CHARTERED INSTITUTE FOR IT DATABASE SYSTEMS BCS HIGHER EDUCATION QUALIFICATIONS
BCS THE CHARTERED INSTITUTE FOR IT DATABASE SYSTEMS BCS HIGHER EDUCATION QUALIFICATIONS

... UNION as the combination of all sets, INTERSECT as the ‘overlap’ of sets and MINUS as what is in one set but not another. The role of duplicate removal from the final results set. CARTESIAN PRODUCT (TIMES) should also be covered. Suitable notation and clear use of Venn diagrams to highlight the univ ...
Access Tutorial 1: Introduction to Microsoft Access
Access Tutorial 1: Introduction to Microsoft Access

... it is up to you as a developer to pick and choose the best approach to implementing your application. Since there are often several vastly different ways to implement a particular feature in Access, recognizing the different personalities and exploiting the best features (and avoiding the pitfalls) ...
The Essentials of Clinical Data Management
The Essentials of Clinical Data Management

... Once the data structure or back-end of the database is developed, the interface or front-end of the database will need to be developed. This should also be included in the design document ƒ The design of the interface will depend on the use of the data management system. ...
Estimating the  Robustness of  Discovered Knowledge*
Estimating the Robustness of Discovered Knowledge*

... database schemas and transaction logs. No domainspecific information is required. However, if it is available, the approach can exploit it. ...
Mining Positive and Negative Sequential Pattern in
Mining Positive and Negative Sequential Pattern in

... patterns. Positive sequential patterns states that these items were occur with one and another. Actually the absence of certain itemset may imply the appearance of other itemsets as well. The absence of itemsets thus is becoming measurable in many applications. Negative sequential patterns could ass ...
- ShareStudies.com
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... (Attribute; specifies characteristics at that location (what, how much, when). Descriptive data can be stored in a database table or obtained from reports, statistical outcomes, etc. ...
ppt
ppt

... Vertically partition relations to isolate the data that is accessed most often -- only fetch needed information.  E.g., split account into two, (account-number, branch-name) and (account-number, balance). – Branch-name need not be fetched unless required  Improve performance by storing a denormali ...
PRTG Data Extractor
PRTG Data Extractor

... inconvenient for a standard solution in PRTG, so our possibilities at Paessler were limited to fulfill all specific user requests. We developed the Data Extractor to meet these manifold user requirements. If you have higher demands on your reporting system than the available standard reports in PRTG ...
Using Oracle Data Guard to protect your database.
Using Oracle Data Guard to protect your database.

... Data Guard and RAC  RAC: high availability and scalability solution within a data center, implemented on a single set of storage  Data Guard: Disaster Recovery and Data Protection solution that can span data centers, implemented on multiple storage systems  Data Guard and RAC are complementary ...
Winisis 1 - CIDBIMENA
Winisis 1 - CIDBIMENA

... pluginDLL. The DLL will automatically check for incompatibilities. For instance, if DLL version 3 does not support version 1 commands, it returns a plugin registration error. But eventually version 4 does support version 1 commands and proceeds with the registration successfully. The following are t ...
Precision Considerations for Analysis Services Users
Precision Considerations for Analysis Services Users

... Usually, you want values that are both accurate and consistent; but this is not always possible. The scenario in this paper is an example of inaccuracy and inconsistency that can be seen by querying an Analysis Services database. Please note that this is not caused by SQL Server™ 2005 Analysis Servi ...
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Functional Database Model

The functional database model is used to support analytics applications such as Financial Planning and Performance Management. The functional database model, or the functional model for short, is different from but complementary to, the relational model. The functional model is also distinct from other similarly named concepts, including the DAPLEX functional database model, and functional language databases.The functional model is part of the online analytical processing (OLAP) category since it comprises multidimensional hierarchical consolidation. But it goes beyond OLAP by requiring a spreadsheet-like cell orientation, where cells can be input or calculated as functions of other cells. Also as in spreadsheets, it supports interactive calculations where the values of all dependent cells are automatically up to date whenever the value of a cell is changed.
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