
dl/i calls - Mainframes Online Training
... DB PCB - DEFINES PROGRAM’S VIEW OF A IMS DATABASE WHENEVER A DATABASE VIEW DEFINED BY THE PCB IS ACCESSED BY A CALL, THE RESULTS OF CALL ARE PASSED THROUGH THE PCB TO PROGRAM PSB IS GENERATED BY PSBGEN MACRO ...
... DB PCB - DEFINES PROGRAM’S VIEW OF A IMS DATABASE WHENEVER A DATABASE VIEW DEFINED BY THE PCB IS ACCESSED BY A CALL, THE RESULTS OF CALL ARE PASSED THROUGH THE PCB TO PROGRAM PSB IS GENERATED BY PSBGEN MACRO ...
09 LINQ old
... Auto-Typed Variables • var x = 7; // x will be of type int • var q = from … select new {…}; // q will be an array of the anonymous type Console.WriteLine(q[0].Name); ...
... Auto-Typed Variables • var x = 7; // x will be of type int • var q = from … select new {…}; // q will be an array of the anonymous type Console.WriteLine(q[0].Name); ...
Tokyo Products
... TCHDB *hdb; int ecode; char *key, *value; /* create the object */ hdb = tchdbnew(); /* open the database */ if(!tchdbopen(hdb, "casket.hdb", HDBOWRITER | HDBOCREAT)){ ecode = tchdbecode(hdb); fprintf(stderr, "open error: %s\n", tchdberrmsg(ecode)); ...
... TCHDB *hdb; int ecode; char *key, *value; /* create the object */ hdb = tchdbnew(); /* open the database */ if(!tchdbopen(hdb, "casket.hdb", HDBOWRITER | HDBOCREAT)){ ecode = tchdbecode(hdb); fprintf(stderr, "open error: %s\n", tchdberrmsg(ecode)); ...
The SQL++ Unifying Semi-structured Query Language, and an
... model and the semi-structured JSON.2 On SQL’s end, a database has a fixed schema comprising flat tables, where a table is a bag of homogeneous tuples and each tuple is a set of scalar attributes. On JSON’s end: (i) there is no fixed schema, (ii) values include object literals (i.e. records) and arra ...
... model and the semi-structured JSON.2 On SQL’s end, a database has a fixed schema comprising flat tables, where a table is a bag of homogeneous tuples and each tuple is a set of scalar attributes. On JSON’s end: (i) there is no fixed schema, (ii) values include object literals (i.e. records) and arra ...
New SAS® Performance Optimizations to Enhance Your SAS® Client and Solution Access to the Database
... and finding new and innovative ways to squeeze out more performance. Many of these queries come from real production jobs, created by you the SAS customer. As data volumes continue to grow (at staggering rates), it is SAS‟ commitment to improve our SQL technology to meet the needs of today‟s SAS use ...
... and finding new and innovative ways to squeeze out more performance. Many of these queries come from real production jobs, created by you the SAS customer. As data volumes continue to grow (at staggering rates), it is SAS‟ commitment to improve our SQL technology to meet the needs of today‟s SAS use ...
Introduction to Python programming for biologists
... Bioinformatics Data Management • The following material is the result of a curriculum development effort to provide a set of courses to support bioinformatics efforts involving students from the biological sciences, computer science, and mathematics departments. They have been developed as a part o ...
... Bioinformatics Data Management • The following material is the result of a curriculum development effort to provide a set of courses to support bioinformatics efforts involving students from the biological sciences, computer science, and mathematics departments. They have been developed as a part o ...
SAS® Data Integration Studio: Tips and Techniques for Implementing ELT
... We've demonstrated that we can implement ELT processes using SAS Data Integration Studio. So what's the impact of running an ELT process versus an ETL process? It really depends on the scenario. ELT is not the answer to everything. Performance differences depend on many variables including size and ...
... We've demonstrated that we can implement ELT processes using SAS Data Integration Studio. So what's the impact of running an ELT process versus an ETL process? It really depends on the scenario. ELT is not the answer to everything. Performance differences depend on many variables including size and ...
PHP Chapter 7
... Many-to-Many Relationship • A many-to-many relationship exists in a relational database when many records in one table are related to many records in another table • A junction table creates a one-to-many relationship for each of the two tables in a many-to-many relationship • A junction table cont ...
... Many-to-Many Relationship • A many-to-many relationship exists in a relational database when many records in one table are related to many records in another table • A junction table creates a one-to-many relationship for each of the two tables in a many-to-many relationship • A junction table cont ...
New SQL Performance Optimizations to Enhance Your SAS® Client and Solution Access to the Database
... and finding new and innovative ways to squeeze out more performance. Many of these queries come from real production jobs, created by you the SAS customer. As data volumes continue to grow (at staggering rates), it is SAS‟ commitment to improve our SQL technology to meet the needs of today‟s SAS use ...
... and finding new and innovative ways to squeeze out more performance. Many of these queries come from real production jobs, created by you the SAS customer. As data volumes continue to grow (at staggering rates), it is SAS‟ commitment to improve our SQL technology to meet the needs of today‟s SAS use ...
Federation of Brain Data through Knowledge
... The data contained in the CCDB will be derived from both published and unpublished data. A constant concern in creating and maintaining databases of experimental information is the quality of data retrieved from a query. In the CCDB, the evaluation of the quality and accuracy of morphometric or prot ...
... The data contained in the CCDB will be derived from both published and unpublished data. A constant concern in creating and maintaining databases of experimental information is the quality of data retrieved from a query. In the CCDB, the evaluation of the quality and accuracy of morphometric or prot ...
Microsoft SQL Server 2008 Product Overview
... Increasingly, applications are incorporating a much wider variety of data types than has been traditionally supported by a database. SQL Server 2008 builds on a strong legacy of supporting non-relational data by providing new data types that enable developers and administrators to efficiently store ...
... Increasingly, applications are incorporating a much wider variety of data types than has been traditionally supported by a database. SQL Server 2008 builds on a strong legacy of supporting non-relational data by providing new data types that enable developers and administrators to efficiently store ...
Indexing Semistructured Data - Stanford InfoLab
... path DB.Movie.Title. Then, for each Movie, we look for the existence of a path Actor.Name whose value is \Harrison Ford". We call this a top-down execution strategy since we begin at the named object DB (the top) and evaluate the path expressions in a forward manner. This query execution strategy re ...
... path DB.Movie.Title. Then, for each Movie, we look for the existence of a path Actor.Name whose value is \Harrison Ford". We call this a top-down execution strategy since we begin at the named object DB (the top) and evaluate the path expressions in a forward manner. This query execution strategy re ...
Intro to the Class
... Made up of one or more extents Extents are not necessarily contiguous within a segment Blocks within an extent are contiguous Container for Schema Objects Made up of one or more data files Defined with a STORAGE clause ...
... Made up of one or more extents Extents are not necessarily contiguous within a segment Blocks within an extent are contiguous Container for Schema Objects Made up of one or more data files Defined with a STORAGE clause ...
IPD - System Center Service Manager 2010
... • The data warehouse management server and database should be well-connected via LAN or very high-speed WAN (50 milliseconds or less latency) • Can co-locate data warehouse database with Service Manager ...
... • The data warehouse management server and database should be well-connected via LAN or very high-speed WAN (50 milliseconds or less latency) • Can co-locate data warehouse database with Service Manager ...
Transaction Management
... If the transaction aborted, the DB must be restored to its prior state. Means such transaction must be undone or rolled back Two main issues to deal with: Failures of various kinds, such as hardware failures and system crashes Concurrent execution of multiple transactions ...
... If the transaction aborted, the DB must be restored to its prior state. Means such transaction must be undone or rolled back Two main issues to deal with: Failures of various kinds, such as hardware failures and system crashes Concurrent execution of multiple transactions ...
Best Practices for protecting Microsoft SQL Server
... The databases that you will be protecting must be part of Named Instances, and those SQL Instance names must be unique for your environment. For example, if Server A and Server B both have a SQL Instance called “Test”, the “Test” Instances cannot be replicated to the same Standby server. Note: The S ...
... The databases that you will be protecting must be part of Named Instances, and those SQL Instance names must be unique for your environment. For example, if Server A and Server B both have a SQL Instance called “Test”, the “Test” Instances cannot be replicated to the same Standby server. Note: The S ...
Lesson-C - uob.edu.bh
... query as if you are joining the table to a copy of itself. The syntax to create a table alias in the FORM clause is: FROM table1 alias1,…… When you create a table alias, you must the use the table alias, rather than the table name, to qualify column names in the SELECT clause and in join condition. ...
... query as if you are joining the table to a copy of itself. The syntax to create a table alias in the FORM clause is: FROM table1 alias1,…… When you create a table alias, you must the use the table alias, rather than the table name, to qualify column names in the SELECT clause and in join condition. ...
ppt
... on database design using the entity-relationship data model. UML classdiagram notation is also covered in this chapter. ...
... on database design using the entity-relationship data model. UML classdiagram notation is also covered in this chapter. ...
10135A_08
... • Recover messages from backup by using the recovery database • Configure and use mailbox retention settings • Configure hold policy, and recover it • Back up the Exchange Server data, and recover database to a recover database • Create a DAG on another server • Recover the server from backup • Inst ...
... • Recover messages from backup by using the recovery database • Configure and use mailbox retention settings • Configure hold policy, and recover it • Back up the Exchange Server data, and recover database to a recover database • Create a DAG on another server • Recover the server from backup • Inst ...
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.