JAVA Database Access
... the industry standard for databaseindependent connectivity between the Java programming language and a wide range of databases – SQL databases and other tabular data sources, such as spreadsheets or flat files. • The JDBC API provides a call-level API for SQLbased database access. ...
... the industry standard for databaseindependent connectivity between the Java programming language and a wide range of databases – SQL databases and other tabular data sources, such as spreadsheets or flat files. • The JDBC API provides a call-level API for SQLbased database access. ...
HadoopDB: An Architectural Hybrid of MapReduce and
... rapidly. This problem only gets worse at scale: the larger the amount of data that needs to be accessed for analytical queries, the more nodes are required to participate in query processing. This further increases the probability of at least one node failing during query execution. Google, for exam ...
... rapidly. This problem only gets worse at scale: the larger the amount of data that needs to be accessed for analytical queries, the more nodes are required to participate in query processing. This further increases the probability of at least one node failing during query execution. Google, for exam ...
Extending Yioop! Abilities to Search the Invisible Web
... Yioop has the ability to crawl and index different file formats. This is called an archive crawl in Yioop terminology. This ability allows Yioop to crawl different file formats. Code written for a specific file format and code to iterate over this format are put in archive bundle iterators in Yioop. ...
... Yioop has the ability to crawl and index different file formats. This is called an archive crawl in Yioop terminology. This ability allows Yioop to crawl different file formats. Code written for a specific file format and code to iterate over this format are put in archive bundle iterators in Yioop. ...
vb notes - VB.NET section
... objects (COM objects) bundled together that allow you to connect to data sources in general, and not just databases. You can use it, for example, to connect to text files, SQL Server, email, and a whole lot more. There are a number of different OLE DB objects (called data providers), but the one we' ...
... objects (COM objects) bundled together that allow you to connect to data sources in general, and not just databases. You can use it, for example, to connect to text files, SQL Server, email, and a whole lot more. There are a number of different OLE DB objects (called data providers), but the one we' ...
Complex Query JOIN Optimization in Parallel Distributed Environment
... Instead of sending a data in its actual format, data is converted into binary format i.e. data is compressed and cost in terms of data transfer is reduced [30-35]. The main issue with binary data transmission is its compatibility with binary data representation on different machines [40]. Different ...
... Instead of sending a data in its actual format, data is converted into binary format i.e. data is compressed and cost in terms of data transfer is reduced [30-35]. The main issue with binary data transmission is its compatibility with binary data representation on different machines [40]. Different ...
1. Database Fundamentals
... where data organisation is transparent to the users or application programs which feed off data. If, for instance, a change is made to some part of the underlying database, no application programs using affected data should need to be changed. Also, if a change is made to some part of an application ...
... where data organisation is transparent to the users or application programs which feed off data. If, for instance, a change is made to some part of the underlying database, no application programs using affected data should need to be changed. Also, if a change is made to some part of an application ...
Optimizing SQL Server Storage Performance with the
... database’s storage sub-system with a random read and write I/O data access pattern. During each database user simulation, BMF collected the total number of I/Os per second (IOPS), transactions per second (TPS), and average query response time that each storage device type achieved. BMF simulated up ...
... database’s storage sub-system with a random read and write I/O data access pattern. During each database user simulation, BMF collected the total number of I/Os per second (IOPS), transactions per second (TPS), and average query response time that each storage device type achieved. BMF simulated up ...
Distributed Databases
... 4. If none of the above cases holds, then all active sites must have a record in their logs, but no additional control records (such
as of ).
...
... 4. If none of the above cases holds, then all active sites must have a
relation - Csmaster
... if it is in first normal form and all the nonkey attributes are fully functionally dependent on the key. – No non-key attribute is FD on just part of the key – If R’s key has only one attribute (ie, is not composite), and R is 1NF, R is automatically ...
... if it is in first normal form and all the nonkey attributes are fully functionally dependent on the key. – No non-key attribute is FD on just part of the key – If R’s key has only one attribute (ie, is not composite), and R is 1NF, R is automatically ...
Interworks Cloud Platform Cloud BSS
... Interworks Marketplace and Interworks Cloud OSS logo are registered trademarks of Interworks. All other trademarks are property of their respective owners. ...
... Interworks Marketplace and Interworks Cloud OSS logo are registered trademarks of Interworks. All other trademarks are property of their respective owners. ...
Evaluating and Repairing Write Performance on Flash Devices
... the logical data organization and the physical data placement. The layer always writes dirty pages, flushed by the buffer manager of the overlying DBMS, sequentially and in multiples of the erase block size. From a conceptual point of view, the physical database representation is an appendonly struc ...
... the logical data organization and the physical data placement. The layer always writes dirty pages, flushed by the buffer manager of the overlying DBMS, sequentially and in multiples of the erase block size. From a conceptual point of view, the physical database representation is an appendonly struc ...
Exam Review - Oracle Academy
... 4. Which of the following are TRUE about SQL statements? T____a. SELECT or select can be used to name columns F____b. All keywords such as ORDER BY and DESCENDING can be abbreviated. For example ORDER BY can be abbreviated as ORD BY, and DESCENDING can be abbreviated as DESC. F____c. Separate lines ...
... 4. Which of the following are TRUE about SQL statements? T____a. SELECT or select can be used to name columns F____b. All keywords such as ORDER BY and DESCENDING can be abbreviated. For example ORDER BY can be abbreviated as ORD BY, and DESCENDING can be abbreviated as DESC. F____c. Separate lines ...
Planejamento
... Author’s ID number in the database. In the books database, this integer column is defined as autoincremented. For each row inserted in this table, the database automatically increments the authorID value to ensure that each row has a unique authorID. This column represents the table’s primary key. f ...
... Author’s ID number in the database. In the books database, this integer column is defined as autoincremented. For each row inserted in this table, the database automatically increments the authorID value to ensure that each row has a unique authorID. This column represents the table’s primary key. f ...
Role Transition Best Practices: Data Guard and Active Data
... You can view the current delay setting on the primary database by referencing the broker property DelayMins from the broker ‘show database verbose’ output or by querying the DELAY_MINS column
of the V$ARCHIVE_DEST view.
» In Oracle Database versions 11.2.0.2 through 11.2.0.3 for phy ...
... You can view the current delay setting on the primary database by referencing the broker property DelayMins from the broker ‘show database
XML and Relational Database
... “Course” is the root element. “CRN” is an attribute node of an element. These are second level elements under “Course” This is a third level element under “Instructor” ...
... “Course” is the root element. “CRN” is an attribute node of an element. These are second level elements under “Course” This is a third level element under “Instructor” ...
Document
... Some key concepts/principles/facts about Data Element Naming and Definition: o NAME and DEFINITION are inseparable o NAME is a unique identifier for DEFINITION o A NAME can be viewed as a kind of very short DEFINITION o In order of precedence, DEFINITION creation should always precede NAME creation ...
... Some key concepts/principles/facts about Data Element Naming and Definition: o NAME and DEFINITION are inseparable o NAME is a unique identifier for DEFINITION o A NAME can be viewed as a kind of very short DEFINITION o In order of precedence, DEFINITION creation should always precede NAME creation ...
Supporting Efficient Streaming and Insertion of XML Data in RDBMS
... and to produce short ids. However determining the optimal length requires a-priori knowledge about the sibling number. At insertion time this is the case if the complete document tree is available in a DOM-like representation. Though this does not hold for streaming XML data requiring sequential pro ...
... and to produce short ids. However determining the optimal length requires a-priori knowledge about the sibling number. At insertion time this is the case if the complete document tree is available in a DOM-like representation. Though this does not hold for streaming XML data requiring sequential pro ...
Android Persistent Data Storage: Introduction
... developer.android.com/reference/android/database/sqlite/SQLiteDatabase.html #query(java.lang.String, java.lang.String[], java.lang.String, java.lang.String[], ...
... developer.android.com/reference/android/database/sqlite/SQLiteDatabase.html #query(java.lang.String, java.lang.String[], java.lang.String, java.lang.String[], ...
Computing Pareto Frontiers and Database
... preferences in our package, which is more general than Skylines but still has a clean and simple syntax. Our first ideas to process preferences in R were published in Roocks and Kießling (2013) under the name “R-Pref”. In that approach the Pareto set calculation was done entirely in R, requiring nes ...
... preferences in our package, which is more general than Skylines but still has a clean and simple syntax. Our first ideas to process preferences in R were published in Roocks and Kießling (2013) under the name “R-Pref”. In that approach the Pareto set calculation was done entirely in R, requiring nes ...
Universal Data Access: A Success Story
... the database data as well. This gives users the ability to devleop many different types of complex applications quickly as NEPSCO discovered. The interface is simple enough to be used by an inexperienceq SAS user and is robust enough to allow a database administrator to fIx a problem in a database. ...
... the database data as well. This gives users the ability to devleop many different types of complex applications quickly as NEPSCO discovered. The interface is simple enough to be used by an inexperienceq SAS user and is robust enough to allow a database administrator to fIx a problem in a database. ...
database tuning in ppt - NYU Computer Science Department
... © Dennis Shasha, Philippe Bonnet - 2002 Number of concurrent insertion threads ...
... © Dennis Shasha, Philippe Bonnet - 2002 Number of concurrent insertion threads ...
pptx
... ◦ Only a part of the mapping result is accessed ◦ No additional storage medium is required (i.e. no materialization) ◦ Rewriting of a SPARQL query to an SQL one ◦ SQL results transformed back to SPARQL results ◦ Aka. query-driven access ...
... ◦ Only a part of the mapping result is accessed ◦ No additional storage medium is required (i.e. no materialization) ◦ Rewriting of a SPARQL query to an SQL one ◦ SQL results transformed back to SPARQL results ◦ Aka. query-driven access ...
Proper Care and Feeding of your MDB
... which can be allocated by the Optimizer Facility (OPF) within DBMS servers created with this definition. 7. dbms.private.*.dmf_cache_size – number of individual buffers (single data pages) in the buffer manager for 2K buffer caches. Since most tables use 8K buffer, we increased this value for large ...
... which can be allocated by the Optimizer Facility (OPF) within DBMS servers created with this definition. 7. dbms.private.*.dmf_cache_size – number of individual buffers (single data pages) in the buffer manager for 2K buffer caches. Since most tables use 8K buffer, we increased this value for large ...