Database Cracking
... The relational operations are grouped into modules, e.g. algebra, aggr and bat. The modules represent a logical grouping and they provide a name space to differentiate similar operations. The actual implementation consists of several tens of relational primitive implementations, but they are ignored ...
... The relational operations are grouped into modules, e.g. algebra, aggr and bat. The modules represent a logical grouping and they provide a name space to differentiate similar operations. The actual implementation consists of several tens of relational primitive implementations, but they are ignored ...
Chapter 2: Relational Model
... 2. The attribute domains must be compatible (example: 2nd column of r deals with the same type of values as does the 2nd column of s) ■ Example: to find all customers with either an account or a loan ...
... 2. The attribute domains must be compatible (example: 2nd column of r deals with the same type of values as does the 2nd column of s) ■ Example: to find all customers with either an account or a loan ...
Cognos Tutorial (PDF Version)
... Data Warehouse ─ Overview .................................................................................................................... 2 Features of a Data Warehouse ......................................................................................................................... 3 Ar ...
... Data Warehouse ─ Overview .................................................................................................................... 2 Features of a Data Warehouse ......................................................................................................................... 3 Ar ...
SQL in the Real World
... • Interactive SQL: SQL statements input from terminal; DBMS outputs to screen – Inadequate for most uses • It may be necessary to process the data before output • Amount of data returned not known in advance • SQL has very limited expressive power (not Turingcomplete) ...
... • Interactive SQL: SQL statements input from terminal; DBMS outputs to screen – Inadequate for most uses • It may be necessary to process the data before output • Amount of data returned not known in advance • SQL has very limited expressive power (not Turingcomplete) ...
Database Administration: The Complete Guide to
... “I’ve forgotten how many times I’ve recommended this book to people. It’s well written, to the point, and covers the topics that you need to know to become an effective DBA.” —Scott Ambler, Thought Leader, Agile Data Method “This is a well-written, well-organized guide to the practice of database ad ...
... “I’ve forgotten how many times I’ve recommended this book to people. It’s well written, to the point, and covers the topics that you need to know to become an effective DBA.” —Scott Ambler, Thought Leader, Agile Data Method “This is a well-written, well-organized guide to the practice of database ad ...
PersistenceHibernate
... • Meet in the middle (good for existing JDBC to Hibernate switch) – start with an existing data model and existing Java classes – write a mapping document to adapt between the two models ...
... • Meet in the middle (good for existing JDBC to Hibernate switch) – start with an existing data model and existing Java classes – write a mapping document to adapt between the two models ...
Chapter 5: Other Relational Languages
... average account balance is more than $1,200, we simply add the condition box: ...
... average account balance is more than $1,200, we simply add the condition box: ...
PPT - United Nations Statistics Division
... The type of analysis you plan to do depends on the type of attributes you are working with. ...
... The type of analysis you plan to do depends on the type of attributes you are working with. ...
transformation - Program
... 8. Transformational modeling of database engineering processes 9. Conclusions and perspectives (A. Schema transformations in CASE tools) ...
... 8. Transformational modeling of database engineering processes 9. Conclusions and perspectives (A. Schema transformations in CASE tools) ...
Instant Loading for Main Memory Databases
... tuples into the storage backend can be sped up and how index creation can efficiently be interleaved with parallelized bulk loading using merge-able index structures (e.g., hashing with chaining and the adaptive radix tree (ART) [20]). To prove the feasibility of our generic Instant Loading approach ...
... tuples into the storage backend can be sped up and how index creation can efficiently be interleaved with parallelized bulk loading using merge-able index structures (e.g., hashing with chaining and the adaptive radix tree (ART) [20]). To prove the feasibility of our generic Instant Loading approach ...
Data Mining - Lyle School of Engineering
... – Apply Next() once to get to the first tuple. – Next() returns FALSE if there are no more tuples. ...
... – Apply Next() once to get to the first tuple. – Next() returns FALSE if there are no more tuples. ...
Database Notes (full version) - The ELCHK Yuen Long Lutheran
... Persistent data can be stored in file(s). However there are potential problems with that. 1. Since files are designed to fit individual application needs, a data element may appear in several files if that piece of data is needed in several applications. For example, a bank customer may open a savi ...
... Persistent data can be stored in file(s). However there are potential problems with that. 1. Since files are designed to fit individual application needs, a data element may appear in several files if that piece of data is needed in several applications. For example, a bank customer may open a savi ...
Query From Examples: An Iterative, Data-Driven
... πname (σpi (Employee)), with p1 = ‘gender = “M”’, p2 = ‘salary > 4000’, and p3 = ‘dept = “IT”’. To help identify the user’s target query among these three candidates, our approach will first present to the user a modified database1 D1 and two possible query results, R1 and R2 , on D1 : ...
... πname (σpi (Employee)), with p1 = ‘gender = “M”’, p2 = ‘salary > 4000’, and p3 = ‘dept = “IT”’. To help identify the user’s target query among these three candidates, our approach will first present to the user a modified database1 D1 and two possible query results, R1 and R2 , on D1 : ...
CAMEO DATA MODELER PLUGIN
... database and XML schema modeling features. This plugin enables you to draw entity-relationship diagrams (using the crow's foot notation). This is a fullfeatured variant of ER diagram (including extended entity-relationship concepts - like generalization), providing a spectrum of capabilities for log ...
... database and XML schema modeling features. This plugin enables you to draw entity-relationship diagrams (using the crow's foot notation). This is a fullfeatured variant of ER diagram (including extended entity-relationship concepts - like generalization), providing a spectrum of capabilities for log ...
Zephyr: Live Migration in Shared Nothing Databases for Elastic
... destination access those pages. The index structures are replicated at the source and destination and are immutable during migration. Lightweight synchronization between the source and the destination, only during the short dual mode, guarantees serializability, while obviating the need for two phas ...
... destination access those pages. The index structures are replicated at the source and destination and are immutable during migration. Lightweight synchronization between the source and the destination, only during the short dual mode, guarantees serializability, while obviating the need for two phas ...
FrontBase® Users Guide
... FrontBase copyright ©2000 by FrontBase Inc. and its licensors. All rights reserved. Documentation within these pages may be printed by licensee for personal use. Except for the foregoing, no part of this documentation may be reproduced or transmitted in any form by any means, electronic or mechanic ...
... FrontBase copyright ©2000 by FrontBase Inc. and its licensors. All rights reserved. Documentation within these pages may be printed by licensee for personal use. Except for the foregoing, no part of this documentation may be reproduced or transmitted in any form by any means, electronic or mechanic ...
Using Databases – OpenOffice.org Base
... A table is organized in horizontal rows and vertical columns: Field – contains information about a table object; fields form table columns. Fields are normally given a name in the column header, indicating what kind of data they contain. A particular data type can be assigned to fields, e.g., number ...
... A table is organized in horizontal rows and vertical columns: Field – contains information about a table object; fields form table columns. Fields are normally given a name in the column header, indicating what kind of data they contain. A particular data type can be assigned to fields, e.g., number ...
... Here, the query can be implemented for fuzzy linguistic variables query via an interface to Microsoft ASP.NET. It is being applied to an realistic instance i.e. questions could be expressed by fuzzy linguistic values such as young age, high blood pressure, average heart beat etc in Patients’ relatio ...
Proceedings of USITS ’03: 4th USENIX Symposium on Internet Technologies and Systems
... Second, the computational cost of read queries is typically much larger than that of update queries. A typical update query consists of updating a single record selected by an equality test on a customer name or a product identifier. In contrast, read queries may involve complex search criteria invo ...
... Second, the computational cost of read queries is typically much larger than that of update queries. A typical update query consists of updating a single record selected by an equality test on a customer name or a product identifier. In contrast, read queries may involve complex search criteria invo ...
Telerik School Academy
... sample database in MS SQL Server all product categories and the names of the products in each category. Use SqlDataReader and a query to the Categories and Products tables. Write a method that adds a new product in the products table in the Northwind database. To accomplish this use a parameterized ...
... sample database in MS SQL Server all product categories and the names of the products in each category. Use SqlDataReader and a query to the Categories and Products tables. Write a method that adds a new product in the products table in the Northwind database. To accomplish this use a parameterized ...
ORACLE DBA HANDBOOK
... table, column names against data dictionary • Determines whether user has privilege to execute the statement • Determines optimal execution plans for statement • Finds a shared SQL area for the statement • In execution stage, for UPDATE and DELETE statement, Oracle locks the affected rows, looks for ...
... table, column names against data dictionary • Determines whether user has privilege to execute the statement • Determines optimal execution plans for statement • Finds a shared SQL area for the statement • In execution stage, for UPDATE and DELETE statement, Oracle locks the affected rows, looks for ...
InfoFlex User Management and Audit Trail User Guide
... The User Management module is used for creating users and for controlling system and account policies within InfoFlex. These policies enable tight control over users’ accounts and enhance the security of InfoFlex. The functionality is divided into 2 distinct areas: Individual user settings and Syste ...
... The User Management module is used for creating users and for controlling system and account policies within InfoFlex. These policies enable tight control over users’ accounts and enhance the security of InfoFlex. The functionality is divided into 2 distinct areas: Individual user settings and Syste ...
Answer sets for consistent query answering in
... datawarehouse, (4) integration of heterogeneous databases, in particular with duplicated information; (5) inconsistency with respect to soft integrity constraints, where transactions in violation of their conditions are not prevented from executing; (6) legacy data on which one wants to impose seman ...
... datawarehouse, (4) integration of heterogeneous databases, in particular with duplicated information; (5) inconsistency with respect to soft integrity constraints, where transactions in violation of their conditions are not prevented from executing; (6) legacy data on which one wants to impose seman ...