Introduction
... Instances and Schemas Similar to types and variables in programming languages Schema – the logical structure of the database Analogous to type information of a variable in a program Physical schema: database design at the physical level Logical schema: database design at the logical level View sche ...
... Instances and Schemas Similar to types and variables in programming languages Schema – the logical structure of the database Analogous to type information of a variable in a program Physical schema: database design at the physical level Logical schema: database design at the logical level View sche ...
The Database Environment
... • Repository–centralized storehouse of metadata • Database Management System (DBMS) –software for managing the database • Database–storehouse of the data • Application Programs–software using the data • User Interface–text and graphical displays to users • Data/Database Administrators–personnel resp ...
... • Repository–centralized storehouse of metadata • Database Management System (DBMS) –software for managing the database • Database–storehouse of the data • Application Programs–software using the data • User Interface–text and graphical displays to users • Data/Database Administrators–personnel resp ...
Quick Tutorial - Using the Database Object
... Modifying records in a database requires a query to specify what records need to be modified. It uses the SetQueryParam() method to set the parameter (if necessary) and UpdateRecords() with the query name in order to do this. Any modify expression with an invalid parameter or one which is not specif ...
... Modifying records in a database requires a query to specify what records need to be modified. It uses the SetQueryParam() method to set the parameter (if necessary) and UpdateRecords() with the query name in order to do this. Any modify expression with an invalid parameter or one which is not specif ...
Hello
... The questions listed here in the guideline may change their values and format when appear on the exam. I reserve my rights to make further modification, add, and eliminate any part of the exam. Each question also can be moved from one section to another. You are allowed to bring a piece of paper (2 ...
... The questions listed here in the guideline may change their values and format when appear on the exam. I reserve my rights to make further modification, add, and eliminate any part of the exam. Each question also can be moved from one section to another. You are allowed to bring a piece of paper (2 ...
Spatial Database Engine
... • Multiple versions are allowed – Versions can be based upon location (north edits, south edits), projects (sub-divisions), or other logic decided upon my the GIS ...
... • Multiple versions are allowed – Versions can be based upon location (north edits, south edits), projects (sub-divisions), or other logic decided upon my the GIS ...
4902RecoveryCh19
... •All modified main memory buffers are written to disk •A checkpoint record is force-written to the log (i.e. written immediately) ...
... •All modified main memory buffers are written to disk •A checkpoint record is force-written to the log (i.e. written immediately) ...
Module 1 Highlights
... • Is a very handy application • In Exercise 1a you will see that a shapefile is composed of 3-~8 files • And thus is hard to move because you always leave something behnid • In ArcCatalog, however, it appears as one file and you can move, rename, etc much easier ...
... • Is a very handy application • In Exercise 1a you will see that a shapefile is composed of 3-~8 files • And thus is hard to move because you always leave something behnid • In ArcCatalog, however, it appears as one file and you can move, rename, etc much easier ...
PPT
... Cost of finding qualifying data entries (typically small) plus cost of retrieving records (could be large w/o clustering). In example, assuming uniform distribution of names, about 10% of tuples qualify (100 pages, 10000 tuples). With a clustered index, cost is little more than 100 I/Os; if uncluste ...
... Cost of finding qualifying data entries (typically small) plus cost of retrieving records (could be large w/o clustering). In example, assuming uniform distribution of names, about 10% of tuples qualify (100 pages, 10000 tuples). With a clustered index, cost is little more than 100 I/Os; if uncluste ...
Websense Enterprise Explorer Log Database Maintenance
... An effective Log Database maintenance plan is crucial for preserving the performance of any large and/or busy Log Database. The design, implementation, and monitoring of a maintenance plan are a few of the vital tasks of the database administrator (DBA) responsible for your Websense Enterprise Repor ...
... An effective Log Database maintenance plan is crucial for preserving the performance of any large and/or busy Log Database. The design, implementation, and monitoring of a maintenance plan are a few of the vital tasks of the database administrator (DBA) responsible for your Websense Enterprise Repor ...
Introduction
... • There exists a one to many relationship between ‘departments’ and ‘employees’ • A Foreign Key of the ‘many’ table has values in it that must be in the Primary Key column of the ‘one’ table • This concept is known as Referential Integrity (RI) • We tell the RDBMS how to enforce this integrity in CR ...
... • There exists a one to many relationship between ‘departments’ and ‘employees’ • A Foreign Key of the ‘many’ table has values in it that must be in the Primary Key column of the ‘one’ table • This concept is known as Referential Integrity (RI) • We tell the RDBMS how to enforce this integrity in CR ...
SQL
... • The difference between a view and a table is that views are definitions built on top of other tables (or views), and do not hold data themselves • If a data item is changing in the underlying table, the same change is reflected in the view • A view can be built on top of a single table or multiple ...
... • The difference between a view and a table is that views are definitions built on top of other tables (or views), and do not hold data themselves • If a data item is changing in the underlying table, the same change is reflected in the view • A view can be built on top of a single table or multiple ...
Designing for Performance - General Database
... FOR ALL rows from which to start If any other transaction(s) have ANY of these rows locked we will wait until ALL locks have been acquired before we can proceed. In the case of this update (because it’s highly selective and because indexes exist to make this possible) SQL Server will use row level l ...
... FOR ALL rows from which to start If any other transaction(s) have ANY of these rows locked we will wait until ALL locks have been acquired before we can proceed. In the case of this update (because it’s highly selective and because indexes exist to make this possible) SQL Server will use row level l ...
CS3311 – Advanced Database Systems
... Do not contain all relevant material. You need to do additional reading. ...
... Do not contain all relevant material. You need to do additional reading. ...
database - OneTick
... OneTick Database collects and processes millions of ticks per second on a single server and archives billions of ticks per day globally. It comfortably tackles rapidly rising data volumes and real-time data rates, while servicing multiple concurrent user queries on data sets stretching back over yea ...
... OneTick Database collects and processes millions of ticks per second on a single server and archives billions of ticks per day globally. It comfortably tackles rapidly rising data volumes and real-time data rates, while servicing multiple concurrent user queries on data sets stretching back over yea ...
How In-Memory Affects Database Design
... • In-Mem data structures coexist in the database alongside On-Disk ones • Data is housed in RAM, and backed up in Delta Files and Transaction Logs –Delta files are stored as filestream storage –The transaction log is the same one as you are used to (with lighter utilization) ...
... • In-Mem data structures coexist in the database alongside On-Disk ones • Data is housed in RAM, and backed up in Delta Files and Transaction Logs –Delta files are stored as filestream storage –The transaction log is the same one as you are used to (with lighter utilization) ...
Chapter 1
... Same data is held by different programs. Wasted space and potentially different values and/or different formats for the same item. ...
... Same data is held by different programs. Wasted space and potentially different values and/or different formats for the same item. ...
Macromolecular Structure Database group
... We used myIsam compressed tables without any indexes The configuration that required the less disk space Faster to download Once the data are local users can uncompress the data and build the recommended or any other indexes locally ...
... We used myIsam compressed tables without any indexes The configuration that required the less disk space Faster to download Once the data are local users can uncompress the data and build the recommended or any other indexes locally ...
File and Database Management Systems
... A file management system, usually within the operating system, is used to efficiently access physical files stored in the secondary storage devices. Functions: create, updates, retrieval Criterion: efficiency Key consideration: high speed RAM access vs. low speed disk access ...
... A file management system, usually within the operating system, is used to efficiently access physical files stored in the secondary storage devices. Functions: create, updates, retrieval Criterion: efficiency Key consideration: high speed RAM access vs. low speed disk access ...
SistemManajemenMutuKonstruksi
... Object-oriented Key technology of multimedia web-based applications Good for complex, high-volume applications ...
... Object-oriented Key technology of multimedia web-based applications Good for complex, high-volume applications ...
WebFOCUS Hyperstage - Information Builders
... Cube technology has limited scalability Number of dimensions is limited Amount of data is limited Cube technology is difficult to update (add Dimension) Usually requires a complete rebuild Cube builds are typically slow New design results in a new cube ...
... Cube technology has limited scalability Number of dimensions is limited Amount of data is limited Cube technology is difficult to update (add Dimension) Usually requires a complete rebuild Cube builds are typically slow New design results in a new cube ...
Overview of Storage and Indexing
... records. So, better than Alternative 1 with large data records, especially if search keys are small. (Portion of index structure used to direct search, which depends on size of data entries, is much smaller than with Alternative 1.) Alternative 3 more compact than Alternative 2, but leads to variabl ...
... records. So, better than Alternative 1 with large data records, especially if search keys are small. (Portion of index structure used to direct search, which depends on size of data entries, is much smaller than with Alternative 1.) Alternative 3 more compact than Alternative 2, but leads to variabl ...
COURSE OUTLINE HCS 206- MODELS OF DATABASE AND
... Definition of key terms i.e. entity sets, relationship sets, attributes Constraints of an ER model: mapping cardinalities; participation constraints Keys: definition of different keys; super key; candidate key; primary key Constructing the Entity Relationship Diagram Unified Modeling Langu ...
... Definition of key terms i.e. entity sets, relationship sets, attributes Constraints of an ER model: mapping cardinalities; participation constraints Keys: definition of different keys; super key; candidate key; primary key Constructing the Entity Relationship Diagram Unified Modeling Langu ...