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Read the note on How to Configure a Downstream
Read the note on How to Configure a Downstream

... For this we need to create standby redo logs so that the source database can use Oracle Data Guard redo transport to send redo to the downstream mining database as it is written to the online redo log at the source. ...
Oracle Database In-Memory with Oracle`s JD Edwards EnterpriseOne
Oracle Database In-Memory with Oracle`s JD Edwards EnterpriseOne

... identified in the EnterpriseOne application and evaluated for performance and need to the customer. Row format is a database design of an object where a single row in an Oracle table has multiple columns and each column represents a characteristic of that row record. This design is analogous to what ...
The Definitive Guide to Graph Databases
The Definitive Guide to Graph Databases

SQLBasicTraining
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... WIMS Admin database, called OPSROOT that contains a variety of tables including the Facility List, User List, Login History, etc... This database MUST always exist and is created during install (for WIMS MultiUser) or with Server Setup (for WIMS Multi-User with Database Support). For each WIMS Facil ...
Data Warehouse
Data Warehouse

... z Used to manage and control business z Data is historical or point-in-time z Optimized for inquiry rather than update z Use of the system is loosely defined and can be ad-hoc z Used by managers and end-users to understand the business and make judgements ...
data warehousing and data mining
data warehousing and data mining

... Used to manage and control business Data is historical or point-in-time Optimized for inquiry rather than update Use of the system is loosely defined and can be ad-hoc Used by managers and end-users to understand the business and make judgements ...
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... ◦ permit external applications to operate on the database without knowing about internal details ...
DB2 Java Performance with pureQuery and Data Studio
DB2 Java Performance with pureQuery and Data Studio

... from the java programmer. This separation also led to many hours debugging performance problems and inconsistencies from the DAO layer to the java code that referenced the data. Hibernate with its Object Relational Mapping (ORM) framework was great as long as the ORM framework matched the object vie ...
Computing with Java:
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... programming interface hides the details of different databases; our programs can work with many different databases on many different platforms. JDBC can be used as part of large scale enterprise applications. In this chapter we cover the JDBC concepts using a small example which allows many extensi ...
MCSE: Microsoft Certified Systems Engineer January
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... indexed SQL Server database.  40-table, normalized SQL database schema, designed and documented in Visio.  All tables indexed and tuned, then de-normalized when necessary to improve performance.  200 hand-programmed stored procedures, with parameters, RETURN values, complex multi-table JOINs, and ...
learning ontology from relational database
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... set of axioms, which is expressed in an appropriate logical language, e.g. first order logic. Based on the ontological structure, ontology comprises a set of instances, which could be seen as the extension of concepts. Now there are many ontology description languages. This paper adopts the latest s ...
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... • Native indexes delegated to Dataupia are retained • Additionally, Dataupia uses indexing approaches optimized for large data workloads • Disk indexing supports record-based optimized storage and rapid retrieval • Dataupia indexing is transparent to the application • Optimized Hilbert r-tree Index ...
Borden`s modified PPT slides
Borden`s modified PPT slides

... • Separating the logical and physical views of data also means users can change their conceptualizations of the data relationships without making changes in the physical storage. • The database administrator can also change the physical storage of the data without affecting users or application prog ...
208_Summarization CS 257
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... Then, repeatedly select a subgoal that can be resolved. Let Rα(a1, a2, …, an) be the subgoal: Wherever α has a b, we shall find the argument in R is a constant, or a variable in the schema of R.  Project X onto its variables that appear in R. ...
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... SQL provides many transaction management features. SQL commands COMMIT, ROLLBACK and SAVEPOINT helps in managing the transaction. ...
XML DB Architecture
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... may be more convenient to build a query in its XQueryX representation than in the corresponding XQuery representation, since XML tools can be used to do so. ...
Oracle Database 10g: Administration Workshop I R2
Oracle Database 10g: Administration Workshop I R2

... • Recover from a dropped table • View the contents of the database as of any single point in time with Flashback Query • See versions of a row over time with Flashback Versions Query • View transaction history or a row with Flashback Transaction Query ...
QuotesDBAdapter.java
QuotesDBAdapter.java

... import java.util.Random; import android.content.ContentValues; import android.content.Context; import android.database.Cursor; import android.database.SQLException; import android.database.sqlite.SQLiteDatabase; import android.database.sqlite.SQLiteOpenHelper; import android.util.Log; ...
Hack Your DB Before The Hackers Do!
Hack Your DB Before The Hackers Do!

(OLAP).
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... – bulk loading of data from internal or external data sources – incremental loading of data from operational systems; – aggregation of input level data along hierarchies; ...
ch34 - UT Computer Science
ch34 - UT Computer Science

... – bulk loading of data from internal or external data sources – incremental loading of data from operational systems; – aggregation of input level data along hierarchies; ...
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Securing Web Application against SQL Injection Attack: a

Active Data Guard vs. Storage Remote Mirroring
Active Data Guard vs. Storage Remote Mirroring

... Even though a bullet-proof disaster recovery (DR) solution offers the ultimate protection for enterprise data, businesses often don’t place a high priority on DR due to the fact that disaster recovery infrastructure is expensive and rarely used. This leads to under-investment in DR and/or the deploy ...
account-number
account-number

... (inserted.account-number, inserted.branch-name, – inserted.balance) update account set balance = 0 from account, inserted where account.account-number = inserted.account-number end ...
UNIT II DATA WAREHOUSING Data ware house – characteristics
UNIT II DATA WAREHOUSING Data ware house – characteristics

... large scale. Most of today’s applications are based on this interaction methodology, with implementations of centralized or descentralized systems. OLTP database and operations On the database level, these transactional systems base their operation on multi-access, fast and effective querys to the d ...
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Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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