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PPT - MIT Database Group
PPT - MIT Database Group

... distinct objects that must be scanned (like Big Table) > Read-optimized Column Store (ROS) ...
764_24_Mohammed_Backup
764_24_Mohammed_Backup

... It makes transferring DB easy when migrating from one OS to another; say from NT to Solaris as it is platform independent. We achieve this by exporting from NT and importing into Solaris. ...
S-Store: Streaming Meets Transaction Processing
S-Store: Streaming Meets Transaction Processing

... which has no such trigger support in its PE. • Serializing transaction requests severely limits H-Store’s performance where as S-Store uses a “streaming scheduler” which can activate the next transaction directly within the PE and can prioritize these triggered transactions ahead of the current sche ...
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... Data independence: Application programs not dependent on data representation and storage details Data sharing: data is better utilized (discovered and reused), redundancy of data is minimized Data integrity and consistency: one may enforce consistency constraints on data, e.g., number of seats sold ...
The Java Crypto API
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... Retrieving data using SQL and JDBC Using SQL to update the database Using a result set to update the database ...
DBA - Acsu Buffalo
DBA - Acsu Buffalo

... Information about tables is kept in the SYSTABLES table, information about columns is kept in the SYSCOLUMNS table, and information about views is kept in the SYSVIEWS table In Oracle these same tables are named DBA_TABLES, DBA_TAB_COLUMNS, and DBA_VIEWS ...
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... A. The database files are corrupted when the database is open. B. The user has dropped an important table that needs to be recovered. C. The archived redo log files are missing for which the backup is not available. D. The database is not opening because the required database files are missing. ...
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...  Persistent Storage. A DBMS supports the storage of very large amounts of data that exists independently of any processes that are using the data.  Programming Interface. A DBMS allows the user to access and modify data through a powerful query language.  Transaction management. A DBMS supports c ...
Common Tuning Approaches
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... The unique attributes of column orientation in Infobright are transparent to developers. The benefits are obvious and immediate to users.  Infobright is a relational database  Infobright observes and obeys SQL standards  Infobright observes and obeys standards-based ...
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The Revolution In Database System Architecture

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... database engine needs to compare every records in the table. A specialized index (e.g., in BTREE structure) could reach the record without comparing every records. However, the index needs to be rebuilt whenever a record is changed, which results in overhead associated with using indexes. Index can ...
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... b. Choose our 3 tables to be added in the diagram c. Hold the FK column from SalesFact table and drag it to its main PK table i. First OrderDate from SalesFact to TimeDim ii. Second ProductID from SalesFact to ProductDim d. This will generate a window to ask for the mappings of columns and if there ...
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... o Develop analytical toolset via Cognos Analysis and Metric Studio Work with all levels of development from analysis through implementation and support. Interact with report owners to establish/clarify their requirements and develop report specifications. Resolve end user reporting problems through ...
Database Introduction -2
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... Values in a foreign key must match an existing value in the primary key or be NULL. This is known as the referential integrity rule. ANO in the ANIMAL-FOOD table is part of the primary key and also a foreign key. ...
Data Access - Tonga Institute of Higher Education
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... a database and put it in a DataSet. Can also send changes from the DataSet to the database  Useful members ...
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lecture1 - EECS Instructional Support Group Home Page

... donation of actors to each candidate? • What if I wanted to compare actor donations this campaign to the last one? • What if I wanted to find out who gave the most to each candidate? • What if I wanted to know where the data came from, and how old it was? ...
Data Bases: Population and Maintenance Geog 176B Lecture 8
Data Bases: Population and Maintenance Geog 176B Lecture 8

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Extensible Storage Engine

Extensible Storage Engine (ESE), also known as JET Blue, is an ISAM (Indexed Sequential Access Method) data storage technology from Microsoft. ESE is notably a core of Microsoft Exchange Server, Active Directory and Branch Cache. Its purpose is to allow applications to store and retrieve data via indexed and sequential access. Numerous Windows components take advantage of ESE, such as Desktop Search and Active Directory.ESE provides transacted data update and retrieval. A crash recovery mechanism is provided so that data consistency is maintained even in the event of a system crash. Transactions in ESE are highly concurrent making ESE suitable for server applications. ESE caches data intelligently to ensure high performance access to data. In addition, ESE is lightweight making it suitable for auxiliary applications.The ESE Runtime (ESENT.DLL) has shipped in every Windows release since Windows 2000, with native x64 version of the ESE runtime shipping with x64 versions of Windows XP and Windows Server 2003. Microsoft Exchange, up to Exchange 2003 shipped with only the 32-bit edition, as it was the only supported platform. With Exchange 2007, it ships with the 64-bit edition.
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