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12 Managing Flashback Data Archive
12 Managing Flashback Data Archive

... Historical Data Storage • A new database object, flashback data archive, is a logical container for storing historical information • Consists of one or more tablespaces - ‘QUOTA’ determines max amount of space a flashback data archive can use in each tablespace (default is Unlimited) ...
Semantic Web Fabric
Semantic Web Fabric

... – there has been little interest in issues related to Semantics in the DB community – the Semantic Web can be the underlying theme that ties in all the disparate pieces of work [V. Kashyap, 2002] CS690L - Lecture 4 ...
Distributed Processing, Client/Server, and Clusters
Distributed Processing, Client/Server, and Clusters

... Clusters are better for incremental and absolute scalability ...
Software Architecture for a Consensus Moderation System
Software Architecture for a Consensus Moderation System

... especially those pertaining to the recommendation engine can be extremely time consuming when applied to a large amount of data. The first important design decision is that of the type of application which the system is to be implemented as. While desktop applications used to be the standard for app ...
Incremental Maintenance of Materialized OQL Views
Incremental Maintenance of Materialized OQL Views

... http://www.nature.com/genomics/human/papers/articles.html ...
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l1 - CLAIR

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... Structured Query Language – 結構式查詢語言 often pronounced “Sequel” The standard for relational database management systems (RDBMS) ...
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Database Structure

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Distributed Databases
Distributed Databases

... The originating site collects the messages from all sites.  If all are “OK,” it broadcasts a message to all sites to commit the portion of the transaction handled at each site.  If one or more responses are “not OK,” it broadcasts a message to all sites to abort the transaction.  If the transacti ...
3.1.1 The Structure of JDBC
3.1.1 The Structure of JDBC

... solutions force the developer to build a layer of abstraction on top of them in order to create database-independent code. Only after that abstraction layer is complete can the developer actually write the application. In addition, the experience you have with that abstraction layer does not transla ...
Survey and Comparison of Open Source Time Series Databases
Survey and Comparison of Open Source Time Series Databases

... autoregressive integrated moving average (ARIMA) time series analysis, but due to the experiences in the NEMAR project [Th15] and the fact that VividCortex (see Sect. 1) also uses mostly INS queries [Sc14] and other simpler query types (such as SUM queries) in their setup [Sc15], simple query types ...
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Normalisation

... – Remove repeating group(s) to new table(s) • 2NF second Normal Form or second normalised data – Remove partial key dependency data to new table(s) • 3NF third Normal Form or third normalised data – Remove non key dependency data to new table(s) – represents the physical tables view of a datastore S ...
oodbs - COW :: Ceng
oodbs - COW :: Ceng

... GemStone from Gemstone Systems Inc., Objectivity/DB from Objectivity Inc., ObjectStore from Progress Software Corp., Ontos from Ontos Inc., FastObjects from Poet Software Corp., Jasmine from Computer Associates/Fujitsu, Versant from Versant Corp. ...
Database Integrity: State of the Art
Database Integrity: State of the Art

... and continuously, the database designer depicts consistent states at design time (Codd, 1990). Integrity enforcement efficiency is influenced by the complexity of the assertion set, by the structure of the database repository and by the device that controls and drives database actualizations. Semant ...
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Harnessing DB2
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... and it should not be relied on in making a purchase decision. The information on the features in development is for informational purposes only and may not be incorporated into any contract. The information on the features in development is not a commitment, promise, or legal obligation to deliver a ...
Chapter 01 Review Questions (Word)
Chapter 01 Review Questions (Word)

... the cost of converting data from relational databases to OODBMSs is too high d.) most large organizations have older applications that are not based on object oriented programming e.) both c and d ...
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... • Describe Flashback Database architecture • Enable and disable the Flashback Database • Monitor the Flashback Database • Use the Enterprise Manager Recovery Wizard ...
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... Chamber of Commerce Promotional database provides access to data Customer and reservation database processes Data Needs: • Store multimedia data (photos, video clips, ...
Database Programming With Java & JDBC
Database Programming With Java & JDBC

... String row_buffer = ""; for (int i=1; i<=num_columns; i++) { row_buffer += row_buffer + " " + rs.getString(i); ...
BSc-CS-IT-Syllabus-0..
BSc-CS-IT-Syllabus-0..

... Pointers: Understanding Computer Memory – Introduction to Pointers – declaring Pointer Variables – Pointer Expressions and Pointer Arithmetic – Null Pointers – Generic Pointers Passing Arguments to Functions using Pointer – Pointer and Arrays – Passing Array to Function – Difference between Array Na ...
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Best Practices ® Data Protection in the Cloud

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Consistent Query Answering in Databases
Consistent Query Answering in Databases

... This is general methodology that works for general FO queries, universal ICs and referential ICs (without cycles) One to one correspondence between repairs and stable models of the program Existential ICs, like referential ICs, can be handled, with different repair policies, e.g. introduction of null ...
Estimation of Query Execution Time in Milli Seconds, Micro Seconds
Estimation of Query Execution Time in Milli Seconds, Micro Seconds

... In order to managing and calculating query execution time for Relational Database Management System (RDBMS), one must be fluent in Structured Query Language (SQL). The relational languages offer generally a declarative interface (or declarative language like SQL) to access the data stored in a datab ...
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Clusterpoint

Clusterpoint is a privately held European technology company developing and supporting Clusterpoint database software platform. Company was co-founded by software engineers with expertise in Big data computing. Founders were dissatisfied with complexity, scalability and performance limitations of relational database architecture. The first version of the product was released in 2006. Company is venture capital backed.Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability and security.Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML and JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform.Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Database also supports essential SQL query, that can be combined with free text search in a single REST API.For most of its history Clusterpoint was servicing business customers as an enterprise software vendor.In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database is available as a cloud service (DBAAS). The latest Clusterpoint database production version is 3.0, released in February, 2015.
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