5_temporaldb - WordPress.com
... In fact, time varying data has ALWAYS been in business requirements – but existing technology does not deal with it elegantly! ...
... In fact, time varying data has ALWAYS been in business requirements – but existing technology does not deal with it elegantly! ...
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727 PP 41-47 www.iosrjournals.org
... b. Intelligent data mining agents:The Data Mining Agents are group of agents, which can setup to work on specified set of data on any location with defined rules. These groups of agents will work together to mine the data and compute the desiredresult. c. Knowledge discovery and agents:The Knowledge ...
... b. Intelligent data mining agents:The Data Mining Agents are group of agents, which can setup to work on specified set of data on any location with defined rules. These groups of agents will work together to mine the data and compute the desiredresult. c. Knowledge discovery and agents:The Knowledge ...
Document
... A real time data warehouse provide live data for DSS (may not be 100% up to that moment, some latency will be there). Data warehouse have access to the OLTP sources, data is loaded from the source to the target not daily or weekly, but may be every 10 minutes through replication or logshipping or so ...
... A real time data warehouse provide live data for DSS (may not be 100% up to that moment, some latency will be there). Data warehouse have access to the OLTP sources, data is loaded from the source to the target not daily or weekly, but may be every 10 minutes through replication or logshipping or so ...
National Snow and Ice Data Center
... entire data sets – not just the metadata Ability to store colossal amounts of small files Relational databases can't handle it. The tables grow too big. (Object-relational is no better) ...
... entire data sets – not just the metadata Ability to store colossal amounts of small files Relational databases can't handle it. The tables grow too big. (Object-relational is no better) ...
A Survey on Data Mining and its Applications
... A traditional database is organized into fields, records and fields, where field implies single piece of information, record is a complete set of fields, and file a collection of records [9]. A database management system is needed to be able to access data or information from a database. Data wareho ...
... A traditional database is organized into fields, records and fields, where field implies single piece of information, record is a complete set of fields, and file a collection of records [9]. A database management system is needed to be able to access data or information from a database. Data wareho ...
DA-10562 - Worldwide
... applications, and new classes of Web applications that can take advantage of the massive amounts of information now theoretically available, but too often locked up in incompatible systems. Universal Data Access Universal Data Access middleware can provide employees, customers, and artners with easy ...
... applications, and new classes of Web applications that can take advantage of the massive amounts of information now theoretically available, but too often locked up in incompatible systems. Universal Data Access Universal Data Access middleware can provide employees, customers, and artners with easy ...
Get the Best Out of Oracle Data Pump Functionality
... • One of the best uses of Oracle Data Pump is to load test and development systems with data from production systems for realistic testing purposes. • Due to company rules or legal regulations, sensitive data in the non-production systems has to be replaced with realistic looking data to enable effe ...
... • One of the best uses of Oracle Data Pump is to load test and development systems with data from production systems for realistic testing purposes. • Due to company rules or legal regulations, sensitive data in the non-production systems has to be replaced with realistic looking data to enable effe ...
CS 5614: (Big) Data Management Systems
... – Allow mul/ple users to access database simultaneously. – Allow a user access to only to authorized data. – Provide some guarantee of reliability against system failures. ...
... – Allow mul/ple users to access database simultaneously. – Allow a user access to only to authorized data. – Provide some guarantee of reliability against system failures. ...
597 giorgetti - Istituto Nazionale di Oceanografia e di Geofisica
... The importance of technology has been a critical aspect in oceanographic data management. In 1979, a first relational database model, working on the IBM 4341 system, was implemented at the OGS Informative Centre to manage the meta-data obtained within the international ASCOP programme (Manca, 1989). ...
... The importance of technology has been a critical aspect in oceanographic data management. In 1979, a first relational database model, working on the IBM 4341 system, was implemented at the OGS Informative Centre to manage the meta-data obtained within the international ASCOP programme (Manca, 1989). ...
Data Warehouses, Data Marts, and Data Warehousing
... Connectivity Services of the AKM include: Language APIs: C, C++, Java, CORBA, COM Databases: Relational, ODBC, OODBMS, hierarchical, network, flat file, etc. Wrapper connectivity for application software: custom, CORBA, or COM-based Applications including all categories mentioned in Figure One. Chan ...
... Connectivity Services of the AKM include: Language APIs: C, C++, Java, CORBA, COM Databases: Relational, ODBC, OODBMS, hierarchical, network, flat file, etc. Wrapper connectivity for application software: custom, CORBA, or COM-based Applications including all categories mentioned in Figure One. Chan ...
Disparity of Spatial and Non Spatial Data.
... such as points, lines and polygons. Some spatial databases handle more complex structures such as 3D objects, topological coverage, linear networks etc. While typical databases are designed to manage various numeric’s and character types of data, additional functionality needs to be added for databa ...
... such as points, lines and polygons. Some spatial databases handle more complex structures such as 3D objects, topological coverage, linear networks etc. While typical databases are designed to manage various numeric’s and character types of data, additional functionality needs to be added for databa ...
Opportunities for the Use of Business Data Analysis
... hidden relationships and patterns in the data. It is a process where the raw data are transformed into useful information. To enable business data users to access their large volumes of data, there is a need for special software packages or applications, which search for the relationships between th ...
... hidden relationships and patterns in the data. It is a process where the raw data are transformed into useful information. To enable business data users to access their large volumes of data, there is a need for special software packages or applications, which search for the relationships between th ...
Data Warehouse Development
... Eleven major tasks that could be performed in parallel for successful implementation of a data warehouse (Solomon, 2005) : ...
... Eleven major tasks that could be performed in parallel for successful implementation of a data warehouse (Solomon, 2005) : ...
Introduction to Databases - Department of Software and Information
... compared with rolling 12-monthly prior figures? What would be the effect on property sales in the different regions of Britain if legal costs went up by 3.5% and Government taxes went down by 1.5% for properties over £100,000? Which type of property sells for prices above the average selling price f ...
... compared with rolling 12-monthly prior figures? What would be the effect on property sales in the different regions of Britain if legal costs went up by 3.5% and Government taxes went down by 1.5% for properties over £100,000? Which type of property sells for prices above the average selling price f ...
Data Mining: A hands on approach By Robert Groth
... margins and so must find ways in order to be able to deal with competitors. Early adoption of data warehousing by retailers have allowed them a better opportunity to take advantage of data mining. The main applications in retail that use data mining are direct marketing applications. Direct mail and ...
... margins and so must find ways in order to be able to deal with competitors. Early adoption of data warehousing by retailers have allowed them a better opportunity to take advantage of data mining. The main applications in retail that use data mining are direct marketing applications. Direct mail and ...
Data Integration in the Life Sciences
... domains, data integration at some level is necessary. When discussing the different approaches to data integration, a number of key issues need to be addressed: • Accessing the original data sources • Handling redundant as well as missing data • Normalizing analytical data from different data ...
... domains, data integration at some level is necessary. When discussing the different approaches to data integration, a number of key issues need to be addressed: • Accessing the original data sources • Handling redundant as well as missing data • Normalizing analytical data from different data ...
Big Data - Purdue University
... educational activities, and this will generate an increasingly large amount of detailed data about students' performance. It is widely believed that the use of information technology can reduce the cost of healthcare while improving its quality [CCC2011c], by making care more preventive and personal ...
... educational activities, and this will generate an increasingly large amount of detailed data about students' performance. It is widely believed that the use of information technology can reduce the cost of healthcare while improving its quality [CCC2011c], by making care more preventive and personal ...
sv-lncs - HAL
... Despite their variety, we can identify common features of scientific data [1]: massive scale; manipulated through complex, distributed workflows; typically complex, e.g. multidimensional or graph-based; with uncertainty in the data values, e.g., to reflect data capture or observation; important meta ...
... Despite their variety, we can identify common features of scientific data [1]: massive scale; manipulated through complex, distributed workflows; typically complex, e.g. multidimensional or graph-based; with uncertainty in the data values, e.g., to reflect data capture or observation; important meta ...
KDD-99 Panel Report: Data Mining into Vertical Solutions
... builders and for business users. The latter because using the knowledge that comes out of data mining can entail significant risks – “just trust me” won’t do it for most business executives. The former because models that are not interpretable can hide significant errors. Models are abstractions of ...
... builders and for business users. The latter because using the knowledge that comes out of data mining can entail significant risks – “just trust me” won’t do it for most business executives. The former because models that are not interpretable can hide significant errors. Models are abstractions of ...
CAD/GIS Integration Workgroup - Indiana Geographic Information
... carry information that would be better stored as Object Data tables. Although end users will of course use additional layer names for specific end uses, it is understood that this imposes a separate need for translation to other platforms and uses. ...
... carry information that would be better stored as Object Data tables. Although end users will of course use additional layer names for specific end uses, it is understood that this imposes a separate need for translation to other platforms and uses. ...
Explaining 50+ terms you should know So you think you
... more personalised experiences across all channels, it’s important that this information be handled with care. (For instance, when LiveRamp Connect onboards data, records are anonymised through a one-way de-identification process—a sort of built-in amnesia—that ensures no PII is ever transferred to o ...
... more personalised experiences across all channels, it’s important that this information be handled with care. (For instance, when LiveRamp Connect onboards data, records are anonymised through a one-way de-identification process—a sort of built-in amnesia—that ensures no PII is ever transferred to o ...
NISQL Data Stores
... – Data as typically occurs in social networking applications • Columnar DBMSs (Type 2) with their inverted structures, bitmapped indexes and compression are very applicable to DW/BI environments (but not OLTP) and must be seriously evaluated by every organization investing in BI © InfoModel LLC, 201 ...
... – Data as typically occurs in social networking applications • Columnar DBMSs (Type 2) with their inverted structures, bitmapped indexes and compression are very applicable to DW/BI environments (but not OLTP) and must be seriously evaluated by every organization investing in BI © InfoModel LLC, 201 ...
Data Warehousing
... usage analysis), and healthcare (for outcomes analysis). This paper presents an overview of data warehousing technologies, focusing on the special requirements that data warehouses place on Database Management Systems (The business organizations and companies usually need to store huge amount of dat ...
... usage analysis), and healthcare (for outcomes analysis). This paper presents an overview of data warehousing technologies, focusing on the special requirements that data warehouses place on Database Management Systems (The business organizations and companies usually need to store huge amount of dat ...
Design and implementation of Multi Dimensional Data
... In the multidimensional model, data cube is organized into multiple dimensions, and each dimension contains attributes forms a multiple levels of abstraction. OLAP operations are used to view data from different perspectives. A number of OLAP data cube operations are used to provide interactive quer ...
... In the multidimensional model, data cube is organized into multiple dimensions, and each dimension contains attributes forms a multiple levels of abstraction. OLAP operations are used to view data from different perspectives. A number of OLAP data cube operations are used to provide interactive quer ...
The Dawn of a Maturing Industry
... 4.1 Define a data warehouse, explaining how it works and how it benefits organizations. ...
... 4.1 Define a data warehouse, explaining how it works and how it benefits organizations. ...
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk.Analysis of data sets can find new correlations, to ""spot business trends, prevent diseases, combat crime and so on."" Scientists, business executives, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research.Data sets grow in size in part because they are increasingly being gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×1018) of data were created; The challenge for large enterprises is determining who should own big data initiatives that straddle the entire organization.Work with big data is necessarily uncommon; most analysis is of ""PC size"" data, on a desktop PC or notebook that can handle the available data set.Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires ""massively parallel software running on tens, hundreds, or even thousands of servers"". What is considered ""big data"" varies depending on the capabilities of the users and their tools, and expanding capabilities make Big Data a moving target. Thus, what is considered ""big"" one year becomes ordinary later. ""For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.""