Datamanagement comprises all the List of academic disciplines disciplines related to managing data as a valuable ... organization for those in the datamanagement profession, is Data Resource Management is the development ... of datamanagement, such as relational database management. Alternatively, the definition provided in the DAMA DataManagement Body of Knowledge DAMA DMBOK is Datamanagement is the development ... Guide Presentation 2007.pdf DAMA DMBOK Guide DataManagement Body of Knowledge Introduction & Project Status ref The concept of DataManagement arose in the 1980s as technology moved from sequential ... that DataManagement was more important than Process Management used arguments such as a customer ... was more important than DataManagement used batch processing time as their primary argument. As applications ... practitioners that both management processes were important. If the data was not well defined, the data ... user needs. Topics in DataManagement Topics in DataManagement, grouped by the DAMA DMBOK Framework ... li li Data modeling ul li Database Management li ul li Data maintenance li li Database administration li li Database management system li ul li Data Security Management li ul li Data access li li Data erasure li li Data privacy li li Data security li ul li Data Quality Management li ul li Data cleansing ... 6 li Reference and Master DataManagement li ul li Data integration li li Master datamanagement li li Reference data li ul li Data Warehousing and Business Intelligence Management li ul li Business ... li Data warehousing li ul li Document, Record and Content Management li ul li Document management system li li Records management li ul li Meta DataManagement li ul li Meta datamanagement li li Metadata ... Management li ul li Business continuity planning li li Marketing operations li li Customer data integration li li Identity management li li Identity theft li li Data theft li li ERP software li li ... ol col end Body Of Knowledge The DAMA Guide to the DataManagement Body of Knowledge DAMA DMBOK Guide ... more details
In the field of datamanagement , data classification as a part of Information Lifecycle Management ILM process can be defined as tool for categorization of data to enable help organization to effectively answer following questions What data types are available? Where are certain data located? What access ... or application owners. IT staff is informed about the data value and on the other hand management usually application owners understands better to what segment of data centre has to be invested to keep operations running effectively. This can be of particular importance in risk management, legal discovery, and compliance with government regulations. Data classification is typically a manual ... produce these results Data compliance and easier risk management . Data are located where expected ..., http searchstorage.techtarget.com news article 0,289142,sid5 gci1139240,00.html Category Datamanagement ... the data. How to start process of data classification? First step is to evaluate and divide applications and data as follows Structured data statistically around 15 of data Generally describes proprietary data which can be accessible only through application or application programming interfaces API Applications that produce structured data are usually database applications This type of data usually brings complex procedures of data evaluation and migration between storage tiers Unstructured data all other data that cannot be categorized as structured around 85 Generally describes data files ... simple process of data classification criteria assignment Simple process of data migration between assigned segments of predefined storage tiers Basic criteria for unstructured data classification Time criteria is the simplest and most commonly used where different type of data is evaluated by time ... of advanced content classification algorithms are most advanced forms of unstructured data classification Basic criteria for structured data classification These criteria are usually initiated by application ... more details
unsourced date November 2010 A Scientific DataManagement System SDMS is a specialized information system for electronic record management for most types of analytical data and documentation which ensures long term data preservation, accessibility, and retrieval. See also Datamanagement Laboratory informatics Further reading Valle, Mario 2009, December 11 What is Scientific DataManagement? Retrieved November 4, 2010, from http personal.cscs.ch mvalle sdm index.html Elliott, Michael H. 2010 Considerations for Management of Laboratory Data. Retrieved November 4, 2010, from http www.scientificcomputing.com considerations for management.aspx?terms lims Category Datamanagement ... more details
Orphan date February 2009 Holistic DataManagement HDM framework is AHISDATA indigenous standard for implementing ... datamanagement solutions such as data quality , data governance , data integration , data processing , Master DataManagement and data validation solutions. The HDM framework specifies that All data objects must exist as a child data object or a parent data object. Only one unique parent data object must exist within a data network scope DNS . All child data objects must have a Data Mapping link defined within a data network scope. A data object relationship must exist at least in one of the following four datamanagement modules Data Mapping , Data Validation , Data Integration , Data Processing Exploring the HDM Framework The following entities are specified in the HDM framework. Data Network Scope DNS The data network scope DNS is the logical boundary that a software application ... or more data objects. DML is only applicable for a Data Mapping datamanagement module. Data Object ... datamanagement modules. Only one DOR can exist on a DML within a datamanagement module. DataManagement Modules DMM DataManagement modules are the common user interface UI programs that defines and manage the data object relationship s within a data network scope. There are four datamanagement modules Data Mapping This is the base datamanagement user interface module. The Data Mapping module ... phases involve in implementing the HDM framework Choose a DataManagement Module DMM This exercise requires the acquisition of a datamanagement module software application to be used for implementing ... DOR This exercise is to define the DOR requirement for each DataManagement Module implemented. See also Reference Data Master Data Customer Data Integration Product Information Management Identity ... of Master DataManagementData warehouse Category Business intelligence Category Datamanagement Category Data warehousing products Category Information technology management ... more details
A Data Stream Management System DSMS is a set of computer program s that controls the Data maintenance maintenance and information retrieval querying of data in data stream s. ref name StandfordStream http ilpubs.stanford.edu 8090 641 Arasu, A., et. al. STREAM The Stanford Data Stream Management System. Technical Report. 2004, Stanford InfoLab. ref The use of a DSMS to manage a data stream is roughly analogous to the use of a Database Management System DBMS to manage a conventional database . ref name StandfordStream A key feature of a DSMS is the ability to execute a continuous query against a data stream. A conventional database query executes once and returns a set of results for a given point in time. In contrast, a continuous query continues to execute over time, as new data enters the stream. The results of the continuous query are updated as new data appears. ref Safaei, Ali A., and Mostafa S. Haghjoo. Using Finite State Machines in Processing Continuous Queries. International Review on Computers & Software 4.5 2009 551 556. Academic Search Complete. EBSCO. Web. 9 April 2010. ref References Reflist External links http www.pam2004.org papers 113.pdf Using Data Stream Management Systems for Traffic Analysis A Case Study http citeseerx.ist.psu.edu viewdoc download?doi 10.1.1.67.8671&rep rep1&type pdf Aurora A Data Stream Management System http infolab.stanford.edu stream STREAM Stanford Stream Data Manager http datalab.cs.pdx.edu niagara NiagaraST A Research Data Stream Management System at Portland State University http home.dei.polimi.it margara papers survey.pdf Processing Flows of Information From Data Stream to Complex Event Processing Survey article on Data Stream and Complex Event Processing Systems Use dmy dates date September 2010 Category Datamanagement Comp sci stub fr Syst me de Gestion de Flux de Donn es de Data Stream Management System pl Strumieniowa baza danych ... more details
Orphan date February 2009 A Technical DataManagement System TDMS is essentially a Document management system DMS pertaining to the management of technical and engineering drawing s and documents. Often the data are contained in records of various forms, such on paper, microfilms or on digital media. Hence technical datamanagement is also concerned with record management involving purely technical or techno commercial or techno legal information or data. Proper Technical Document Management system Management Systems are essential for the smooth and trouble free management of large organisations which are built around large scale projects involving engineering. For example, TDMS is a vital function for the successful management of Integrated Steel Plants ISP , Automobile factories, Aero space facilities, Infrastructure companies, City Corporations, Research Organisations, etc. In such organisations, Technical Archives or Technical Documentation Centres are created as central facilities, for the effective management of technical data and records. TDMS functions are conceptually similar to that of conventional archive functions, except that the archived material in this case are essentially engineering drawings, survey maps, Specification technical specifications , plant and equipment data sheets, feasibility reports, project reports, operation and maintenance manuals, standards, etc. Document registration, indexing, repository management, reprography, etc are part of TDMS. Various computer software systems are now available in this field. Various kinds of sophisticated reprography equipment, such as document scanners, microfilming and digitization camera units, wide format printers, digital plotters, etc are available now which make the TDMS functions concered with reprography ... references Business stub Computing stub Category Datamanagement Category Document management systems ... management are considered very vital functions, and much stress is given in the management of Technical ... more details
In computing , master datamanagement MDM comprises a set of processes and tools that consistently defines ... Data Integration , product Product Information Management , employee, and vendor. MDM processes identify ... 2010 08 27 ref Advances in Master DataManagement Recently Master datamanagement solutions have ... DataManagement is defined as a software solution to concurrently manage multiple, diverse master data ... lifecycle, VMDM provides flexible data integration and datamanagement across multiple data domains ... DataManagement or VMDM is a datamanagement technology which employs a multientity Master data ... of virtual master datamanagement is in its ability to use abstraction layers in data modeling to create ... of the object hierarchy. Advantages of Virtual Master DataManagement Traditionally, Master data ... by the IT department. The traditional strategy in implementing the Master datamanagement initiatives ... Master DataManagement solutions. Traditional MDM software typically provides the selection process ... master datamanagement as a virtual registry designed to assemble a single view of master data and their relationships ... the full potential of your data. Core Architecture of virtual Master DataManagement Virtual MDM solutions ... owners to perform master datamanagement tasks by manipulating properties of metadata entities as opposed ... Computers Software Master DataManagement http msdn2.microsoft.com en us library bb190163.aspx mdm04 topic4 Microsoft The What, Why, and How of Master DataManagement http msdn.microsoft.com en us library bb410798.aspx Microsoft Master DataManagement MDM Hub Architecture http www.polarlake.com reference datamanagement introduction PolarLake Reference DataManagement RDM and Governance http mike2.openmethodology.org wiki Master DataManagement Solution Offering Open Methodology for Master DataManagementData warehouse databases DEFAULTSORT Master DataManagement Category Business intelligence Category Datamanagement Category Data warehousing Category Information technology management de Zentrale ... more details
Notability date November 2009 Enterprise DataManagement or EDM is A concept referring to the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal ... upon for decision making. The goal of enterprise datamanagement is trust and confidence in data ..., finance, strategy and end users and relates to an area i.e. data content management that has ... case on the benefits of datamanagement. The core of the challenge is due to the fact that data ... datamanagement are systematic and intertwined with other processes. This makes it hard to quantify ... priority. Achieving organizational alignment on the importance of datamanagement as well as managing data as an ongoing area of focus is the domain of governance. Program implementation Implementation ... policies and procedures associated with change management, data model s, data cleansing and normalization, data stewardship , security constraints and precedence rules. In many cases, these policies ... and is an essential prerequisite for effective datamanagement. Platform requirements Even though ... applications is an essential component of the EDM process. Enterprise datamanagement as an essential ... datamanagement Master Data References No footnotes date November 2009 Enterprise DataManagement Council ... in Enterprise DataManagement A Survey Report, 12 06 Category Datamanagement Category Product lifecycle ..., consistent and transparent data content. EDM emphasizes data precision, granularity and meaning ... technology strategy or related to an explicit data type definition. It arose to address circumstances where users within organizations independently source, model, manage and store data. These uncoordinated approaches by various segments of the organization can result in data conflicts and quality inconsistencies making it difficult for users to trust the data as it is incorporated into models ..., and ongoing, process based in an understanding of workflow , data dependencies and the tolerance ... more details
Meta datamanagement also known as metadata management, without the hyphen involves storing information about other information. With different types of Digital media media being used, references to the location of the data can allow management of diverse repositories. Uniform Resource Locator URL s, images, video etc. may be referenced from a triples table of object, attribute and value. With specific knowledge domain s, the boundaries of the metadata for each must be managed, since a general ontology is not useful to experts in one field whose language is knowledge domain specific. If you Who date January 2011 are in the process of making a knowledge management solution, managing the metadata is very important. In such a project, you would typically appoint a metadata manager. Citation needed date January 2011 This is a person who will be responsible for the metadata strategy, and for the implementation of this. A metadata manager does not need to know about and be involved with everything concerning the solution, but rather, will have overall responsibility. Managing the metadata in a knowledge management solution is an important step of a metadata strategy. It is part of the strategy to make sure that at any given point in time, the metadata are complete, current and correct. And it is about making sure that users of the solution are aware of the possibilities and how to use ... management solution provides data that corresponds with organizational requirements. Some metadata management application providers http www.analytixds.com products.htm Analytix Data Services Meta dataManagement & Data Mapping Solution http www.enterprise elements.com Enterprise Elements ... date June 2007 DEFAULTSORT Meta DataManagement Category Metadata ... Access Innovations, creator of the Data Harmony software suite http www.sap.com solutions sapbusinessobjects information management metadata management index.epx SAP Metadata Manager Solution http ... more details
Orphan date July 2009 Inappropriate tone date November 2009 Integrated DataManagement IDM is a tools approach to facilitate datamanagement and improve performance. IDM consists of an integrated, modular environment to manage enterprise application data, and optimize data driven applications. It manages data over its lifetime, from requirements to retirement. Overview Empty section date July 2010 Data life cycle Data retention Data governance Data quality Agile Data Method Data modeling Purpose Produce enterprise ready applications faster Improve data access, speed iterative testing Empower collaboration ... up front share, extend, and apply throughout the lifecycle Example Integrated datamanagement ... January 2011 Related Database Technologies Information Lifecycle Management Computer data storage Data proliferation Digital preservation Document management Enterprise content management Hierarchical ... http download.boulder.ibm.com ibmdl pub software data sw library datamanagement optim reports fragmented.pdf Fragmented Management Across The Data Life Cycle Increases Cost And Risk A commissioned ... DataManagement Managing data across its lifecycle from Holly Hayes http www.ibmsystemsmagmainframedigital.com .... Application consolidation and retirement is common in this scenario. Data archiving capabilities help to minimize cost and accelerate completion of such scenarios you can minimize the data that you ... to give developers the productivity they need, while helping them adopt best practices for data ... data access performance, maximize database security, and improve manageability. It makes service enabling vetted database assets as simple as a drag and drop gesture. Our test datamanagement capabilities let tester leverage production like data while safeguarding client privacy and corporate confidentiality ... them via models and other data artifacts across the lifecycle. We call this idea model ... to administrators From design to delivery to management Technologies Metadata Empty section date ... more details
A clinical datamanagement system or CDMS is a tool used in clinical research to manage the data of a clinical trial. The clinical trial data gathered at the investigator site in the case report form are stored ... of data. Clinical DataManagement Once the data has been screened for typographical errors, the data .... Greenes RA, Pappalardo AN, Marble CW, Barnett GO., Design and implementation of a clinical datamanagement ... CTMS Clinical Trial Management Systems caBIG http www.acdm.org.uk Association for Clinical DataManagement ACDM http www.scdm.org Society for Clinical DataManagement SCDM http www.dqri.org Data Quality Research Institute DQRI Category clinical research Category Clinical DataManagement ... means to verify the data. Classification The CDMS can be broadly divided into Paper based and electronic data capturing system. Paper Based Systems Case report forms are manually filled at site and mailed to the company for which trial is being performed. The data on forms is transferred to the CDMS tool through data entry.The most popular method being double data entry where two different data entry operators enter the data in the system independently and both the entries are compared by the system .... Another method is Single Data Entry. The Data in CDMS is then transferred for the data validation. Also, in these systems during validation the data clarification from sites are done through ... responds by answering on forms and mailing it back. Electronic Data Capturing System In such CDMS the investigators directly uploads the data on CDMS and the data can then be viewed by the data validation staff. Once the data is uploaded by site, data validation team can send the electronic alerts to sites ... if there is an error in the data or clarification from the investigator is required. Another function that the CDMS can perform is the coding of data. Currently, the coding is generally centered ... can be loaded into the CDMS. The data items containing the adverse event terms or medication names ... more details
looked at this issue in depth is the Material DataManagement Consortium MDMC ref name mdmc http www.mdmc.net, The Material DataManagement Consortium ref , a collaboration of leading aerospace ... , and GE Aviation . The MDMC has identified the problems caused by failures in the materials datamanagement .... Materials datamanagement problems Problems typically relate to productivity and data integrity. They begin with difficulties in consolidating specialized data stored in disparate sources and varied ... materials and other data used to create the design. This need for traceability has been a key driver for many commercial materials datamanagement projects. Materials datamanagement opportunities Materials datamanagement is not just about the avoidance of problems and risk. The MDMC reports that best practice materials datamanagement can have very positive effects on innovation and quality ... issues Materials datamanagement practictioners usually emphasize the need for a holistic approach. It is of limited use having a superb means to capture test data if that data disappears into a black ...Materials data is a critical resource for manufacturing organizations seeking to enhance products, processes and, ultimately, profitability. This data describes the properties and processing of the materials ... , etc. This data may come from a wide range of sources e.g., materials testing , quality assurance ... finding property data to support analysis or simulation Materials scientists duplicating existing test results or generating data that goes unused Design iterations failing due to outdated or inconsistent data Weeks taken tracing the source of design data for certification, or customers, or to support ... such issues is to examine each stage in the full materials data lifecycle. The MDMC sees this process ... CAPTURE Information systems must handle the peculiarities of materials data Organizations need a single, consistent source for all of their materials information both in house data and external ... more details
Meter DataManagement MDM refers to a key component in the Smart Grid infrastructure that is in the process of being evolved and adopted by utility companies. An MDM system performs long term data storage and management for the vast quantities of data that are now being delivered by smart metering systems. This data consists primarily of usage data and events that are imported from the head end servers that manage the data collection in Advanced Metering Infrastructure AMI or Automatic meter reading AMR systems. An MDM system will typically import the data, then validate, cleanse and process it before ... Data Aggregation for network loss and theft detection br Outage detection and event management br Remote ... analysis applications br Meter datamanagement systems MDMS provide a platform for managing data from multiple metering systems and make available this data to multiple applications in house or hosted . An MDMS may provide data and interface with other systems such as the utility billing and customer information system, outage management system, workforce management system, asset management ... articles read meter datamanagement market to grow 300 by 2014 according to gtm research GTM ... & Products Various companies provide Meter DataManagement Systems, the most significant players being ... processes. Benefits can be seen in billing, customer service, outage management and analysis of utility operations. Solutions Solutions based on meter data include the following Smart meter deployment planning and management br Meter and network asset monitoring and management br Automated smart ... Systems CIS and billing systems that cannot perform complex calcuations of interval data and rate ..., editing, and estimation VEE of meter data br Transmit meter data outside of their organization to Counter ..., management reports, customer service metrics, and other operations and support the activities ... that rely on meter data. This is the first step to ensure that consistent processes and understanding ... more details
Product datamanagement PDM is the business function often within product lifecycle management Citation needed date September 2009 that is responsible for the creation, management and publication of Product business product data. In software engineering, this is known as version control . Introduction Product datamanagement PDM is the use of software or other tools to track and control data related to a particular product. The data tracked usually involves the technical specifications of the product ... to produce goods. The use of product datamanagement allows a company to track the various costs associated with the creation and launch of a product. Product datamanagement is part of product life cycle management, and is primarily used by engineers. Within PDM the focus is on managing and tracking ... stored and managed on one or more file servers will include engineering data such as Computer aided design CAD models, drawings and their associated documents. Product datamanagement PDM serves as a central ... out of the product data to multi user carry out Change management engineering engineering change management ... producing complex products to spread product data into the entire product lifecycle management ... datamanagement is focused on capturing and maintaining information on products and or services through ... DataManagement systems evolve towards Collaborative Product Commerce CPC systems which are used across ... Asklund, Annita Persson Dahlqvist Implementing and Integrating Product DataManagement and Software ... 12 15 Kropsu Vehkapera, H., Haapasalo, H., Harkonen, J. and Silvola, R. 2009 Product datamanagement practices in high tech companies , Industrial Management & Data Systems, Vol. 109, No.6, pp. ...?contentType Article&contentId 1798666 DEFAULTSORT Product DataManagement Category Business ... techniques it Product DataManagement nl Product datamanagement ja pl Zarz dzanie danymi produktu ru PDM fi Tuotetiedon hallinta sv Product DataManagement zh ... more details
In the context of computer science and datamanagement , commit refers to the idea of making a set of tentative changes permanent. A popular usage is at the end of a database transaction transaction . A commit is the act of committing. Datamanagement A code COMMIT code statement in SQL ends a database transaction transaction within a relational database management system RDBMS and makes all changes visible to other users. The general format is to issue a code Begin work SQL BEGIN WORK code statement, one or more SQL statements, and then the code COMMIT code statement. Alternatively, a code Rollback datamanagement ROLLBACK code statement can be issued, which undoes all the work performed since code BEGIN WORK code was issued. A code COMMIT code statement will also release any existing savepoint s that may be in use. In terms of transactions, the opposite of commit is to discard the tentative changes of a transaction, a rollback datamanagement rollback . Revision control Commits are also done for revision control systems for source code such as Subversion software Subversion or Concurrent Versions System . A commit in the context of these version control systems refers to submitting the latest changes of the source code to the repository, and making these changes part of the head revision of the repository. Thus, when other users do an code UPDATE code or a code checkout code from the repository, they will receive the latest committed version, unless they specify they wish to retrieve a previous version of the source code in the repository. Version control systems also have similar functionality to SQL databases in that they allow rolling back to previous versions easily. In this context, a commit with version control systems is not as dangerous as it allows easy rollback, even after the commit has been done. See also Atomic commit Two phase commit protocol Three phase ... DataManagement Category Datamanagement Category Revision control systems Category SQL Category Transaction ... more details
Data format management DFM is the application of a systematic approach to the selection and use of the data formats used to encode information for storage on a computer. In practical terms, data format management is the analysis of data formats and their associated technical, legal or economic attributes which can either enhance or detract from the ability of a digital asset or a given information systems to meet specified objectives. Data format management is necessary as the amount of information and number of people creating it grows. This is especially the case as the information with which users are working is difficult to generate, store, costly to acquire, or to be shared. Data format management as an analytic tool or approach is data format neutral. Historically individuals, organization and businesses have been categorized by their type of computer or their operating system. Today, however, it is primarily productivity software, such as spreadsheet or word processor programs, and the way these programs store information that also defines an entity. For instance, when browsing the web it is not important which kind of computer is responsible for hosting a site, only that the information it publishes is in a format that is readable by the viewing browser. In this instance the data format of the published information has more to do with defining compatibilities than the underlying hardware or operating system. Several initiatives have been established to record those data formats commonly used and the software available to read them, for example the Pronom project at the UK National Archives. See also Digital preservation File format Information technology governance Library of Congress Digital Library project National Digital Information Infrastructure and Preservation Program External links http www.digitalpreservation.gov formats The Library of Congress, Sustainability of Digital Formats Category Computer file formats ... more details
COI date August 2010 Data center infrastructure management DCIM is the integration of information technology IT and facility management disciplines to centralize monitoring, management and intelligent capacity planning of a data center s critical systems. Achieved through the implementation of specialized software, hardware and sensors, DCIM will enable a common, real time monitoring and management ... and Management Tops List of Data Center User Issues , Information Management http www.information management.com news infrastructure monitoring management tops list 10018002 1.html ref Energy efficiency or Green IT initiatives Features To address data center availability and reliability requirements ... asset utilization. ref Data Center Management and Efficiency Software , 451 Group ref In response ... dispersal. ref http www.eweek.com c a IT Management Emerson Power Ready to Enter Data Center Management Market 596785 Emerson Power Bringing Its Perspective to Data Center Management , eWeek, October ... risk for overloading and outages. ref A Look At Data Center Infrastructure Management Software & Its .... It also will enable data center managers to automate the management of IT applications based ... q id 55562 t 2 ref Increased power and heat density Data center consolidation Hardware virtualization ... energy use energy efficiency , DCIM enables data center managers to measure energy use, enabling ... that reduce a data center s total operating expenses by up to 20 percent. DCIM will allow optimal ... of green initiatives on the data center s power usage effectiveness PUE and data center infrastructure efficiency before committing resources to an implementation. Evolution of tools Data center ... data and organizing it into a proprietary user interface, they have lacked the functionality necessary ... and management tools were later developed to connect this equipment and provide a holistic view of the facility s data center infrastructure. In addition to enabling the comprehensive real time monitoring ... more details
A mobile datamanagement strategy is a structure imposed on a complex data model that is to be navigated by a user on a mobile device. This is a relatively new process born from the popularity of mobile applications that requires a flexible and in depth navigation structure. There are several methods for such strategy, each describing approaches to a variety of tasks or activities. Overview The general aim is to create a data structure that provides a rich in depth content with a simple and intuitive navigational paradigm, allowing the user to feel in control rather than feeling controlled by the software. The structure of the data navigation should also allow the user to explore an interface without feeling lost, as users instinctively explore applications when using them for the first time. Moult s Data Strategy This approach was first used in the Sky News Ipad iPad project March 2011 and later amended to form the constitution of Sky New s content management system for the expanded Sky News iPhone project October 2011 . The main goal is to create a data structure that closely matches the applications navigation, ensuring a breadth of content, but forcing the depth of each content item to a maximum of two levels. Therefore the root of the data is only ever a maximum of two back button taps anywhere in the navigation, adhering to the users exploring behavior while allowing them to keep a mental model of the structure of the content. Due to the tight coupling of the data to the navigation structure it allows any issues discovered by users to be investigated and solved quickly by development teams that were not involved in the original development process. This strategy is enshrined in Moult s Law. Moult s Law 1. A Hub is the only data structure that is allowed to point to an Enhanced Module 2. An Enhanced Module can only point to a Basic Module. Module a set of data relating to a specific type of content Enhanced Module a module that has the possibility to point to another ... more details
Orphan date February 2009 Notability date June 2008 Infobox Software name RODIN Data Asset Management ... operating system IBM i OS genre Software website http www.thinkrodin.com thinkrodin.com RODIN Data Asset Management RODIN is a software application that facilitates the development and deployment of data warehouse and data mart environments on the IBM System i platform previously known as iSeries ... as the first available data warehouse tool for the AS 400 platform. The latest GA version, Release ... from the need to use DDS or Data Definition Language DDL to create data warehouse and or data mart tables and indexes. Column data element and table data set definitions may be defined manually, or reverse engineered from existing tables. Data elements, once defined may be reused any number of times in different tables without needing to redefine their attributes. The available data elements effectively become a data dictionary, which both simplifies further development and ensures consistency. The user works in a GUI based editor to design data sets, simply dragging and dropping data element ... case RODIN will automatically retain and convert any data in the table. Any number of indexes or views may be defined over the data set tables. ETL Extract, Transform and Load RODIN uses a visual editor to design Extract, transform, load ETL processes to load the data warehouse and data mart tables. Data sources for ETL may be local DB2 tables, remote DB2 tables any platform , Microsoft SQL ... file s. A single ETL process may target one or many data set tables, supporting automatic insert .... Data errors may be detected automatically failed joins, invalid dates etc or based on user defined business rules. Rejected data is placed in a suspense table and an error report is generated. Audit .... Change Data Capture Change Data Capture servers may be defined to capture inserts, updates and deletes ..., with a separate apply step available to present the captured data into the ETL process. Metadata RODIN ... more details
Primary sources date June 2009 IBM DataManagement magazine is a U.S. based custom magazine published by TDA Group for IBM Corp four times a year. With a worldwide readership of more than 100,000, the magazine provides how to information about DB2, Informix, UniVerse, and UniData, along with coverage of related tools, software, and solutions including those that fall under IBM s Information On Demand initiative . Readers include database administrators, managers, designers, application developers, information architects, IT managers, academics, chief technology officers and chief information officers. History IBM DataManagement magazine started in 1996 as DB2 Magazine . It was originally published by Miller Freeman. In 2008, the magazine name changed to IBM Database Magazine before switching to its present name in 2009. TDA Group published its first issue in June 2009. The current name reflects the magazine s shift to cover more of IBM s datamanagement product portfolio. External links http www.ibm.com dmmagazine http ibm.com db2 IBM DB2 http ibm.com informix IBM Informix IBM DB2 product family DEFAULTSORT Ibm DataManagement Magazine Category American business magazines Category American computer magazines Category Professional and trade magazines Category Publications with year of establishment missing Category IBM Information Management software Database Magazine compu mag stub ... more details
ManagementData Input Output, or MDIO , is a serial bus defined for the Ethernet IEEE 802.3 specification for Media Independent Interface , or MII . The MII connects Media Access Control MAC devices with PHY physical bus interface , or PHY, circuits. The MII comprises a data interface to the Ethernet link and a management interface, referred as MDIO or as Media Independent Interface Management MIIM . The MDIO bus provides access to the configuration & status registers of each PHY. These registers are used to initially configure each PHY and also to monitor status during operation. TOC Electrical specification The MDIO interface is implemented by two lines a MDC clock line and an MDIO data line The clock line is driven by the MAC device. The data line is bidirectional the PHY drives it to provide register data at the end of a read operation. The bus has a single MAC master, but can have up to 31 PHY slaves. The MDC clock can be aperiodic, with a minimum period of 400 ns, which corresponds to a maximal frequency of 2.5 MHz. Newer chips, however, allow faster acesses. The MDIO data line has a pull up of 1.5 kOhm in the PHY, allowing the MAC to determine if one or more PHYs are attached. The MAC should have a 2 kOhm pull down on that same line. Bus timing Between two accesses, the MAC and the PHY can drive the MDIO line tri state. Before a register access, PHY devices generally require a preamble of 32 ones on the MDIO line. The accesses are made out of 16 control bits followed by 16 data bits. The control bits specify the access type read or write , the PHY address and the register address. File MDIO READ WRITE.jpg During a write command, the MAC provides control and data. In the case of a read command, the PHY takes over the bus at the end of the cycle and supplies the MAC with the data. Registers The Clause 22 MDIO interface specifies 5 PHY address bits which account for up to 32 devices and 5 register address bits which allows up to 32 registers ... more details
The Object DataManagement Group ODMG was conceived in the summer of 1991 at a breakfast with object database vendors that was organized by Rick Cattell of Sun Microsystems . In 1998, the ODMG changed its name from the Object Database Management Group to reflect the expansion of its efforts to include specifications for both object database and object relational mapping products. The primary goal of the ODMG was to put forward a set of specifications that allowed a developer to write portable applications for object database and object relational mapping products. In order to do that, the data schema, programming language binding s, and data manipulation and query language s needed to be portable. Between 1993 and 2001, the ODMG published five revisions to its specification. The last revision was ODMG version 3.0, after which the group disbanded. Major components of the ODMG 3.0 specification Object Model. This was based on the Object Management Group s Object Model. The OMG core model was designed to be a common denominator for object request brokers, object database systems, object programming languages, etc. The ODMG designed a profile by adding components to the OMG core object model. Object Specification Languages. The ODMG Object Definition Language Object Definition Language ... to the Java Community Process as a basis for the Java Data Objects specification. The ODMG member companies then decided to concentrate their efforts on the Java Data Objects specification. As a result, the ODMG disbanded in 2001. In 2004, the Object Management Group OMG was granted the right to revise ... of an object database standard . References note odmgbook The Object Data Standard ODMG 3.0. Edited ... Category Databases Category Object oriented programming de Object Database Management Group es Object Database Management Group fr Object DataManagement Group ja Object DataManagement Group pl Object Database Management Group ... more details
Infobox Non profit Non profit name Professional Petroleum DataManagement Association Non profit logo Image PPDM 2 rgb.gif Professional Petroleum DataManagement Association symbol founded date 1991 homepage http www.ppdm.org The PPDM Association Professional Petroleum DataManagement Association is a global, not for profit organization that develops datamanagement standards for the petroleum industry. ref PPDM website http www.ppdm.org about ppdm , PPDM website , January, 2011, accessed January 19, 2011. ref In Calgary , the PPDM Association created a workgroup in 1989. PPDM is sponsored by a number of operating companies and data vendors. The goals of the workgroup were to Create a comprehensive relational petroleum data model Establish baseline definitions for well components across the well lifecycle Develop the baseline for well datamanagement and use this baseline as a foundation for comparison with key data sources. PPDM and the Need to Organize Petroleum Data Historically, petroleum data has been managed and analyzed using many different proprietary systems. These systems are typically built based on local terminology and business needs, and use different practices for identifying, gathering, transferring and interpreting information. A typical operating company may use dozens or even hundreds of software applications. Each department is tuned to the needs of different segments of the company production accounting, field operations, seismic exploration, reserves management and financial departments all store information about wells in their respective software applications. ref First Break Magazine http www.ppdm.org resources resource index 2010 09 13 standards based ... datamanagement. References reflist External links http www.whatisawell.org PPDM and What is a Well ... 19, 2011. ref To overcome differences in petroleum data organization, PPDM incorporated in 1991, in Calgary, Alberta, as a not for profit society. The founding members were a group of petroleum data ... more details
SAP NetWeaver Master DataManagement SAP NW MDM is a component of SAP AG SAP s NetWeaver product group and is used as a platform to consolidate, cleanse and synchronise a single version of the truth for master data within a heterogeneous application landscape. It has the ability to distribute internally and externally to SAP and non SAP applications. SAP MDM is a key enabler of SAP Service Oriented Architecture . Standard system architecture would consist of a single central MDM server connected to client systems through SAP Exchange Infrastructure using XML documents, although connectivity without SAP XI can also be achieved. There are five standard implementation scenarios Content Consolidation centralised cleansing, de duplication and consolidation, enabling key mapping and consolidated group reporting in SAP BI. No re distribution of cleansed data. Master Data Harmonisation as for Content Consolidation, plus re distribution of cleansed, consolidated master data. Central Master datamanagement as for Master Data Harmonisation, but all master data is maintained in the central MDM system. No maintenance of master data occurs in the connected client systems. Rich Product Content Management Catalogue management and publishing. Uses elements of Content Consolidation to centrally store ... SAP NetWeaver Master DataManagement 7.1 Help http www.gartner.com it page.jsp?id 1204916 ... Master DataManagement on SAP Developer Network SAP Developer Network SDN http www.sap.com solutions ... SAP Buys A2i s Technology for Master DataManagement Category SAP NetWeaver Master DataManagement ru SAP NetWeaver Master DataManagement ... packages. Global Data Synchronization provides consistent trade item information exchange with retailers through data hubs e.g. 1SYNC Some features for example, workflow require custom development out ... purchased a small vendor in the Product Information Management PIM space called A2i. This code has ... more details
Unreferenced date November 2010 Good Clinical DataManagement Practice GCDMP is the current industry standards for clinical datamanagement that consist of best business practice and acceptable regulatory standards. In all phases of clinical trials , clinical and laboratory information must be collected and converted to digital form for analysis and reporting purposes. The U.S. Food and Drug Administration and International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use have provided specific regulations and guidelines surrounding this component of the drug and device development process. The effective, efficient and regulatory compliant management of clinical trial data is an essential component of drug and device development. The Society for Clinical DataManagement SCDM has created a comprehensive document that provides guidance on accepted practices of clinical datamanagement CDM that are not totally covered by current guidelines and regulations. This document is entitled Good Clinical DataManagement Practices GCDMP and updated by Subject Matter Experts on a continuous basis. References COMPUTERIZED SYSTEMS USED IN CLINICAL INVESTIGATIONS, U.S. Department of Health and Human Services, Food and Drug Administration Center for Biologic Evaluation and Research CBER , Center for Drug Evaluation and Research CDER , Center for Devices and Radiological Health CDRH , Center for Food Safety and Nutrition CFSAN , Center for Veterinary Medicine CVM , Office of Regulatory Affairs ORA , April 1999. Title 21 Code of Federal Regulations 21 CFR Part 11 , Electronic Records Electronic Signatures, Final Rule Published in the Federal Register, Web page issued March, 2000 reformatted June 01, 2001 with updated email addresses for FDA contacts . See also Good clinical practice GxP Category Clinical research ... more details
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