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Fact-Finding Techniques Fact-Finding
Fact-Finding Techniques Fact-Finding

... person perform activities to learn about system. Useful when validity of data collected is in question or when complexity of certain aspects of system prevents clear explanation by end-users. ...
Backup tables ppt
Backup tables ppt

... Backup table method 5. On the “Select Source Tables and Views” window, select the table you want to backup ([dbo].[INVENTORY] is selected in this example)and add the BACKUP to the destination table name; Then click Finish. On the next window, click Finish again. 6. Make sure no erros for the execut ...
Access Project 3
Access Project 3

...  If we were to delete out trainer 42’s data from the database, the clients associated with 42 would now be orphan records (not linked to any trainer)  To avoid this problem: 1) avoid such a deletion 2) cascade the delete, allow the deletion but automatically delete related records (ie. clients)  ...
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... concepts, leading to a new category called object-relational DBMSs (ORDBMSs) Extended relational systems add further capabilities (e.g. for multimedia data, XML, and other data types) ...
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... A - Open a connection using the DriverManager.getConnection method. B - Execute a query using an object of type Statement. C - Extract data from result set using the appropriate ResultSet.getXXX method. D - Clean up the environment by closing all database resources relying on the JVM's garbage colle ...
sham-intro - Department of Computer Science
sham-intro - Department of Computer Science

... - Performance monitoring utilities. - Other functions, such as sorting , user monitoring , data compression , etc. Data dictionary / repository: - Used to store schema descriptions and other information such as design decisions, application program descriptions, user information, usage standards, et ...
Intelligent Database
Intelligent Database

... building special applications software that periodically polls the DB to determine relevant events (generally all coded in one application program. Frequency of poling is an issue though) ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE

... Lorel Query Language:Lorel is considered as an early query language used for semi structured data. Lorel language makes use of the OEM (Object Exchange Model) as the data model for semi structured data. Lorel is utilized to expandOQL (Object Query Language) for the procedure of querying elements. Th ...
File - Abu S. Arif
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... problems • Prevent customer attrition • Acquire new customers • Cross-sell to existing customers • Profile customers with more accuracy ...
A Short History of Database Technology Traditional File
A Short History of Database Technology Traditional File

... Relational Model and Systems Founded Modern DB Technology • Simplicity of basic concepts: simple, abstract data structure, independent of physical considerations, sufficiently powerful and general as a realistic framework for numerous database applications in business data processing • Simple basis ...
CSC 443 – Database Management Systems Databases
CSC 443 – Database Management Systems Databases

... obtained, not how it is to be achieved (e.g., how to access data, the order of operations) • Due to declarativity of SQL, DBMS determines evaluation strategy – This greatly simplifies application programs – But DBMS is not infallible: programmers should have an idea of strategies used by DBMS so the ...
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---- 3356 B.CA (Part. III) EXAMINATION, 2007

... (b) Write a PUSQL code. Insert a new record in table ...
Primary Key
Primary Key

... MS Access MS Access is a Personal or Small Business Relational Database It is limited in scope but powerful for its intended purpose ...
Job Description
Job Description

...  Works closely with GPS staff members and other University staff as appropriate, to define reporting needs, create reports, and test that they are correct. Prepares technical and user documentation for reports. Provides end user support for report generation, ad hoc reporting and query language.  ...
VisDB:Multidimensional Data Exploration Tool
VisDB:Multidimensional Data Exploration Tool

Document
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... structures and access technology 6) Scalability: Ability to handle increased database. Evolution of DBMS File system -> Network DBMS -> Relational DBMS -> Object-Oriented DBMS -> Objectrelational DBMS File system: File is unstructured collection of records containing logically related data. Differen ...
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... Python, and what they are good for. Get aquainted to the Python DB-API 2.0 and see ...
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... 2. Fill DataTable 3. “Bind” to web control ...
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CS 340-Databases_Spring2010-11

... Algorithms (CS 310) Data Structures (CS 202) Spring 2010-11 Dr. Asim Karim [email protected] Room 429 (Ext. 8205) ...
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... and are designed to support very specific application requirements. Recent trend is to built data warehouses. These new mega-databases enable end users to access information based on data that was previously unavailable to them in a single place. For the data professional, the newest challenge is t ...
assin_-1_1
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... for fetching data from disk storage into main memory and deciding what data to cache in memory. (b) Buffer manager Buffer manager is responsible for fetching data from disk storage into main memory and deciding what data to cache in memory. The buffer manager reads disk pages into a main memory page ...
Automating ArcSDE Geodatabase Maintenance
Automating ArcSDE Geodatabase Maintenance

... 2:15am - Stop Webservices 2:30am - Delete all versions 2:45am - Compress Database 3am - Rebuild Statistics 3:30am - Re-create Versions 3:45am - Export Replica Schema 4:15am - Compare & Import Replica Schema 4:45am - Sync Managed & Web Geodatabases 5:15am – Start Webservices ...
Green Sheet - Department of Computer Science
Green Sheet - Department of Computer Science

... will cover material discussed in class and the textbook. Test material will be drawn from ...
Data Warehousing and NoSQL
Data Warehousing and NoSQL

... … more data than ever before! “From 2005 to 2020, the digital universe will grow by a factor of 300, from 130 exabytes to 40,000 exabytes, or 40 trillion gigabytes (more than 5,200 gigabytes for every man, woman, and child in 2020). From now until 2020, the digital universe will about double every ...
Business Computing
Business Computing

... system for storing and delivering massive quantities of data. It is a centralized data repository that stores and provides already transformed and summarized dat, therefore, making it an appropriate environment for more efficient DSS and EIS applications. • Metadata : Metadata is data about data. Th ...
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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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