Ch23b_Views
... Maintenance policy: Controls when we do refresh. Immediate: As part of the transaction that modifies the underlying data tables. (+ Materialized view is always consistent; - updates are slowed) Deferred: Some time later, in a separate transaction. (- View becomes inconsistent; + can scale to mai ...
... Maintenance policy: Controls when we do refresh. Immediate: As part of the transaction that modifies the underlying data tables. (+ Materialized view is always consistent; - updates are slowed) Deferred: Some time later, in a separate transaction. (- View becomes inconsistent; + can scale to mai ...
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
... AVL-tree and the T-tree. While the disk-oriented indices are designed primarily to minimize the number of disk block accesses and to minimize disk space, the memory-resident indices aim to reduce computation time while using as little memory as possible. For real-time applications, the memory-reside ...
... AVL-tree and the T-tree. While the disk-oriented indices are designed primarily to minimize the number of disk block accesses and to minimize disk space, the memory-resident indices aim to reduce computation time while using as little memory as possible. For real-time applications, the memory-reside ...
Data Modeling
... Create user views Identify data elements in each user view and put into a structure called a normal form Normalize user views Integrate set of entities from normalization into one description Normalization – process of creating simple data structures from more complex ones © 2005 Pearson Pre ...
... Create user views Identify data elements in each user view and put into a structure called a normal form Normalize user views Integrate set of entities from normalization into one description Normalization – process of creating simple data structures from more complex ones © 2005 Pearson Pre ...
R - Department of Computer Science
... 1. r, s must have the same arity (same number of attributes) 2. The attribute domains must be compatible (e.g., 2nd column of r deals with the same type of values as does the 2nd column of s) E.g. to find all customers with either an account or a loan ...
... 1. r, s must have the same arity (same number of attributes) 2. The attribute domains must be compatible (e.g., 2nd column of r deals with the same type of values as does the 2nd column of s) E.g. to find all customers with either an account or a loan ...
Introduction (cont.)
... the basic SOM A hybrid clustering algorithm that fully exploit the online learning and multi-resolution characteristics of SOTT is devised. A new linkage metric is proposed which can be updated online to accelerate the time consuming agglomerative hierarchical clustering stage. ...
... the basic SOM A hybrid clustering algorithm that fully exploit the online learning and multi-resolution characteristics of SOTT is devised. A new linkage metric is proposed which can be updated online to accelerate the time consuming agglomerative hierarchical clustering stage. ...
Flexible Query Answering over Graph-modeled Data
... can be made transparent to the designer and to the user of the target database. However, the database instance is not forced to conform the template in a rigid way (i.e. graph databases are schema-less). It is rather the initial structure of the graph database that can be extended or refined later. ...
... can be made transparent to the designer and to the user of the target database. However, the database instance is not forced to conform the template in a rigid way (i.e. graph databases are schema-less). It is rather the initial structure of the graph database that can be extended or refined later. ...
Ch23b_Views
... Maintenance policy: Controls when we do refresh. Immediate: As part of the transaction that modifies the underlying data tables. (+ Materialized view is always consistent; - updates are slowed) Deferred: Some time later, in a separate transaction. (- View becomes inconsistent; + can scale to mai ...
... Maintenance policy: Controls when we do refresh. Immediate: As part of the transaction that modifies the underlying data tables. (+ Materialized view is always consistent; - updates are slowed) Deferred: Some time later, in a separate transaction. (- View becomes inconsistent; + can scale to mai ...
SQL_Saturday_#600_
... Engine prepares a hash table for the smaller relation by applying a hash function to the join attribute of each row (sort of like creating a temporary index on the fly) Scans the larger relation and finds the relevant rows by looking at the hash table ...
... Engine prepares a hash table for the smaller relation by applying a hash function to the join attribute of each row (sort of like creating a temporary index on the fly) Scans the larger relation and finds the relevant rows by looking at the hash table ...
essbase aso tuning and optimization for mere mortals
... Which dimensions should be stored versus dynamic versus enabled for multiple hierarchies? Does it matter? Yes! If you tagged every dimension dynamic, you would probably have a very slow database. Tag dimensions as stored whenever possible. Definitely use stored hierarchies for your really big dimens ...
... Which dimensions should be stored versus dynamic versus enabled for multiple hierarchies? Does it matter? Yes! If you tagged every dimension dynamic, you would probably have a very slow database. Tag dimensions as stored whenever possible. Definitely use stored hierarchies for your really big dimens ...
Databases 2003 - Carnegie Mellon University
... One row for each tuple in the relation Easier to draw than a graph Table has implicit order (of rows and columns) – But: a relation has no ordering, either of tuples or attributes • The cardinality C(R) of a relation R is the number of tuples it contains = # of rows in its table • Relational model r ...
... One row for each tuple in the relation Easier to draw than a graph Table has implicit order (of rows and columns) – But: a relation has no ordering, either of tuples or attributes • The cardinality C(R) of a relation R is the number of tuples it contains = # of rows in its table • Relational model r ...
Fundamentals of Designing a Data Warehouse
... Difficult to handle new & unpredictable or exploratory scenarios Increasing volumes of data Reducing windows of time for data loads (near real-time is challenging) Data quality issues are often surfaced in the reporting layer ...
... Difficult to handle new & unpredictable or exploratory scenarios Increasing volumes of data Reducing windows of time for data loads (near real-time is challenging) Data quality issues are often surfaced in the reporting layer ...
MCITP Administrator: Microsoft SQL Server 2005 Database
... • If upgrading from SQL Server 7.0 the upgraded instance must be a default instance. • If only one instance is planned it should be a default instance • If supporting slinet connectiosn from SQL server 7.0 use a default instance • Any application installing SQL Servr Express Edition should do so as ...
... • If upgrading from SQL Server 7.0 the upgraded instance must be a default instance. • If only one instance is planned it should be a default instance • If supporting slinet connectiosn from SQL server 7.0 use a default instance • Any application installing SQL Servr Express Edition should do so as ...
P*TIME
... hardware capability. Recent research on L2-cacheconscious database structures and algorithms such as [3][4][5][6][7] addresses a crucial aspect of this mismatch that was not taken into consideration when existing RDBMS implementations, whether disk-centric or inmemory, were architected and implement ...
... hardware capability. Recent research on L2-cacheconscious database structures and algorithms such as [3][4][5][6][7] addresses a crucial aspect of this mismatch that was not taken into consideration when existing RDBMS implementations, whether disk-centric or inmemory, were architected and implement ...
Database Programming Languages (DBPL-5)
... This paper therefore proposes a suitable database manipulation interface for statically typed, non-strict, purely functional programming languages. The primary target here is Haskell, a standardized non-strict, purely functional programming language [7]. Although Haskell is a standardized language, ...
... This paper therefore proposes a suitable database manipulation interface for statically typed, non-strict, purely functional programming languages. The primary target here is Haskell, a standardized non-strict, purely functional programming language [7]. Although Haskell is a standardized language, ...
cos346day20
... Indexes • Indexes are special data structures used to improve database performance • SQL Server automatically creates an index on all primary and foreign keys • Additional indexes may be assigned on other columns that are: – Frequently used in WHERE clauses – Used for sorting data ...
... Indexes • Indexes are special data structures used to improve database performance • SQL Server automatically creates an index on all primary and foreign keys • Additional indexes may be assigned on other columns that are: – Frequently used in WHERE clauses – Used for sorting data ...
Default Temporary Tablespace
... A collection of the most recently used definitions in the database Includes information about database files, tables, indexes, columns, users, privileges, and other database objects During the parse phase, the server process looks at the data dictionary for information to resolve object names and va ...
... A collection of the most recently used definitions in the database Includes information about database files, tables, indexes, columns, users, privileges, and other database objects During the parse phase, the server process looks at the data dictionary for information to resolve object names and va ...
- IJSRCSEIT
... In this paper I will give an overview about important subfield of data mining. Frequent Itemset Mining (FIM) is an important branch of data mining. It mainly focuses on observing the sequence of actions. In Frequent Itemset Mining, data takes the form of set of transactions called as transaction dat ...
... In this paper I will give an overview about important subfield of data mining. Frequent Itemset Mining (FIM) is an important branch of data mining. It mainly focuses on observing the sequence of actions. In Frequent Itemset Mining, data takes the form of set of transactions called as transaction dat ...
STIG - THE NEW ENGLAND DB2 USERS GROUP
... • are hardened - minimum of eight chars, upper/lower case, digits, special char. • don’t contain personal information, dictionary words, etc. • are changed every 90 days or more frequently. • Are different from previous ones by at least 4 characters • not reused within 10 passwords and within a year ...
... • are hardened - minimum of eight chars, upper/lower case, digits, special char. • don’t contain personal information, dictionary words, etc. • are changed every 90 days or more frequently. • Are different from previous ones by at least 4 characters • not reused within 10 passwords and within a year ...
Database Security
... Ensure that only authenticated users can access the system And can access (read/update) only data/interfaces that they are authorized to access ...
... Ensure that only authenticated users can access the system And can access (read/update) only data/interfaces that they are authorized to access ...
Data Modeling - Temple Fox MIS
... • The only required field is CustomerID – the rest can be left blank. • CustomerID is defined as the primary key. ...
... • The only required field is CustomerID – the rest can be left blank. • CustomerID is defined as the primary key. ...
Performance evaluation of parallel transaction processing in shared
... to a global LRU (Least Recently Used) replacement strategy. For update propagation to disk, either a FORCE or NOFORCE strategy [HR83] can be selected. FORCE requires to write out all pages modified by a transaction at EOT, while NOFORCE only incurs logging 1/0. Logging is modelled by writing a singl ...
... to a global LRU (Least Recently Used) replacement strategy. For update propagation to disk, either a FORCE or NOFORCE strategy [HR83] can be selected. FORCE requires to write out all pages modified by a transaction at EOT, while NOFORCE only incurs logging 1/0. Logging is modelled by writing a singl ...
Design Document
... allows the user to choose the color of hair, the skin color, the overall size and the face of the mannequin. The colors or hair and skin are predefined and allow the user to set the option by selecting a radio button. The overall size option will be a set of predefined sizes that will be implemente ...
... allows the user to choose the color of hair, the skin color, the overall size and the face of the mannequin. The colors or hair and skin are predefined and allow the user to set the option by selecting a radio button. The overall size option will be a set of predefined sizes that will be implemente ...
Relational model
The relational model for database management is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by Edgar F. Codd. In the relational model of a database, all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.The purpose of the relational model is to provide a declarative method for specifying data and queries: users directly state what information the database contains and what information they want from it, and let the database management system software take care of describing data structures for storing the data and retrieval procedures for answering queries.Most relational databases use the SQL data definition and query language; these systems implement what can be regarded as an engineering approximation to the relational model. A table in an SQL database schema corresponds to a predicate variable; the contents of a table to a relation; key constraints, other constraints, and SQL queries correspond to predicates. However, SQL databases deviate from the relational model in many details, and Codd fiercely argued against deviations that compromise the original principles.