Metadatamanagement 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 these possibilities. It is very important to monitor the metadata, constantly making sure that the knowledge management solution provides data that corresponds with organizational requirements. See also Metadata Metadata discovery Metadata publishing Metadata registry ISO IEC 11179 Dublin core orphan date June 2007 unreferenced date June 2007 DEFAULTSORT MetaDataManagement Category Metadata Category Datamanagement ... more details
management system li li Records management li ul li MetaDataManagement li ul li Metadatamanagement ...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. Corporate Data Quality Management Corporate Data Quality Management CDQM is, according to the EFQM European Foundation for Quality Management and the Competence Center Corporate Data Quality ... Data Quality Management. Brussels EFQM Press, 2011. Forthcoming. ref Strategy for Corporate ... Data Quality Management. Their use must be planned, monitored, managed and continuously improved. Topics in DataManagement Topics in DataManagement, grouped by the DAMA DMBOK Framework, ref ... 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 li ... 2 of 2 ol start 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 ... more details
Orphan date November 2006 unreferenced date March 2009 MetaData Services is an object oriented information repository repository technology that can be integrated with enterprise information systems or with applications that process metadata . A number of Microsoft technologies use MetaData Services as a native store for object definitions or as a platform for deploying metadata . One of the ways in which Microsoft SQL Server 2000 uses MetaData Services is to store versioned DTS Packages . In Microsoft Visual Studio MetaData Services supports the exchange of model data with other development tools. Users can use MetaData Services for their own purposes as a component of an integrated information system, as a native store for custom applications that process metadata , or as a storage and management service for sharing reusable models. Users can also extend MetaData Services to provide support for new tools for resale or customize it to satisfy internal tool requirements. External links http www.microsoft.com downloads details.aspx?FamilyID 81C641E6 38DD 4C28 A123 7B984300E2F0&displaylang en Download page of Microsoft MetaData Services SDK Category Metadata Category Microsoft server technology ... 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 ... these results Data compliance and easier risk management . Data are located where expected on predefined ... 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 the various 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 the storage tiers ... Matter Experts. Unstructured data all other data that cannot be categorized as structured around 85 . Generally describes data files that has no physical interconnectivity e.g. documents, pictures, multimedia files, ... . Relatively simple process of data classification is criteria assignment. Simple process of data migration between assigned segments of predefined storage tiers. Types of data classification ... a discrete and b continuos 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 creation ... 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 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 database system ... objects. DML is only applicable for a data mapping datamanagement module. Data object relationship ... to one or multiple data objects. DOR can be applied on data mapping links for each 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 provide ... 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 the rest ... is to define the DOR requirement for each datamanagement module implemented. See also Reference data Master data Customer data integration Product information management Identity resolution ... DataManagementData warehouse Category Business intelligence Category Datamanagement Category Data ... more details
A datamanagement plan is a formal document that outlines how you will handle your data both during your research, and after the project is completed ref http www2.lib.virginia.edu brown data plan.html ref . The goal of a datamanagement plan is to consider the many aspects of datamanagement , metadata generation, data preservation, and analysis before the project begins this ensure that data are well managed in the present, and prepared for preservation in the future. Importance Preparing a datamanagement plan before data are collected ensures that data are in the correct format, organized well, and better annotated ref http libraries.mit.edu guides subjects datamanagement why.html ref . This saves ... datamanagement plan is data archiving and preservation. By deciding on an archive ahead of time ... to require datamanagement plans as part of the proposal and evaluation process. ref http www.nsf.gov ... of data and data products Who will be responsible for management Metadata content and format Metadata ... object identifier doi assigned to it? Long term storage and datamanagement Researchers should ... data. Budget Datamanagement and preservation costs may be considerable, depending on the nature ..., management, documentation, and preservation Hardware and or software needed for datamanagement ... to an archive The datamanagement plan should include how these costs will be paid. NSF DataManagement Plan All grant proposals submitted to National Science Foundation NSF must include a DataManagement ... and resources for datamanagement plans http www.cdlib.org services uc3 dmp index.html California ... resources datamanagement plans Digital Curation Centre http www.lib.umich.edu research datamanagement and publishing support nsf datamanagement plans directorate guide University of Michigan Library ... Research http lno.lternet.edu node 269 LTER Blog How to write a datamanagement plan Categories Category Articles created via the Article Wizard Category Datamanagement ... more details
unreferenced date February 2012 Clinical datamanagement encompasses the entry, verification, validation and quality control of data gathered during the conduct of a clinical trial . Role of the clinical data manager in a clinical trial The clinical data manager plays a key role in the setup and conduct of a clinical trial. The data collected during a clinical trial forms the basis of subsequent safety ... datamanagement activities are complete. At this stage, the data is declared final terminology ... SOPs describe the process to be followed in conducting datamanagement activities and support ... CFR Part 11 21CFR Part 11 in the conduct of datamanagement activities. Datamanagement plan The datamanagement plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, clinical datamanagement system to be used, description ... after which they are couriered back to DataManagement. Electronic CRFs enable data to be typed directly into fields using a computer and transmitted electronically to DataManagement. Design of CRFs ... to record data eg daily symptoms then a diary is provided for completion. Datamanagement of this data ... and all other datamanagement activities complete the database may be finalised. Metrics and tracking ... control Quality Control is applied at various stages in the Clinical datamanagement process and is normally mandated by SOP. See also Datamanagement Laboratory informatics Laboratory information management system Scientific management Category Clinical datamanagement Category Datamanagement Category ... industry. The clinical data manager is involved in early discussions about data collection options and then oversees development of data collection tools based on the clinical trial protocol. Once subject enrollment begins, the clinical data manager ensures that data is collected, validated, complete and consistent. The clinical data manager liaise with other data providers e.g. a central ... 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 have been screened for typographical errors, the data can be validated to check for logical errors. An example is a check of the subject s age ... Clinical datamanagement Clinical trial management system Clinical trial Electronic data capture ... for datamanagement, design and analysis of clinical trials, Ann Acad Med Singapore. 2000 Sep ... datamanagement system, Comput Biomed Res. 1969 Oct 2 5 469 85. External links https cabig.nci.nih.gov ... 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 systems. 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 are 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 them back. Electronic data capturing systems 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 are uploaded by site, data validation team can send the electronic ... to determine if there are errors in the data or if clarifications from the investigator are required ... 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
refimprove date April 2012 In computing , master datamanagement MDM comprises a set of processes and tools that consistently defines and manages the master data i.e. transaction data non transactional data entities of an organization which may include reference data . MDM has the objective of providing ... of data, consistent classification and identification of data, and data reconciliation issues. Master datamanagement of disparate data systems requires data transformation s as the data extracted from the disparate source data system is transformed and loaded into the master datamanagement ... datamanagement hub is again transformed and loaded into the disparate source data system as the master ... for the master datamanagement product. One of the most common reasons some large corporations ... visualization . One of the newest tools, virtual master datamanagement also called virtual ... Customer Data Integration , product Product Information Management , employee, and vendor. MDM processes ... management Identity resolution Enterprise Information Integration Linked data Semantic Web Data ... 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 DataManagement ... databases DEFAULTSORT Master DataManagement Category Business intelligence Category Datamanagement Category Data warehousing Category Information technology management de Zentrale Stammdatenverwaltung ... such data throughout an organization to ensure consistency and control in the ongoing ... not use multiple potentially inconsistent versions of the same master data in different parts of its ... more details
Product datamanagement PDM is the business function often within product lifecycle management Citation needed date September 2009 that is responsible for the 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, specifications ... 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 ... models, drawings and their associated documents. Product datamanagement PDM serves as a central knowledge ... data to multi user carry out Change management engineering engineering change management and release ... complex products to spread product data into the entire product lifecycle management PLM launch process. This significantly enhances the effectiveness of the launch process. Product datamanagement ... drawing Material data sheets Utilities of Product DataManagement PDM Advantages Track and manage ... The web based review of pdm graco.unb Kenneth Crow Product DataManagement Product information management ... and Integrating Product DataManagement and Software Configuration Management http books.google.com ..., H., Harkonen, J. and Silvola, R. 2009 Product datamanagement practices in high tech companies , Industrial Management & Data Systems, Vol. 109, No.6, pp. 758 774. http www.emeraldinsight.com Insight ... 1798666 DEFAULTSORT Product DataManagement Category Business software Category Product lifecycle management de Produktdatenmanagement fr Syst me de gestion de donn es techniques it Product DataManagement nl Product datamanagement ja pl Zarz dzanie danymi produktu ro Managementul datelor produsului ru PDM fi Tuotetiedon hallinta sv Product DataManagement zh ... more details
technical date September 2011 A Data stream management system DSMS is a computer program that controls the Data maintenance maintenance and information retrieval querying of data in data stream s. A key feature of these DSMSs is the ability to execute a continuous query against a data stream. 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 . 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. Early data stream management systems include Wisconsin s NiagaraCQ ref name niagaracq http www.cs.wisc.edu niagara papers NiagaraCQ.pdf Chen, J. et al, NiagaraCQ A Scalable Continuous Query System ... 8090 641 Arasu, A., et. al. STREAM The Stanford Data Stream Management System. Technical ... citeseerx.ist.psu.edu viewdoc download?doi 10.1.1.67.8671&rep rep1&type pdf Abadi et al. Aurora A Data Stream Management System , SIGMOD 2003 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
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
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 ... date January 2011 Related database technologies Information lifecycle management Computer data storage Data proliferation Digital preservation Document management Enterprise content management Hierarchical ... Reflist 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 ... Integrated DataManagement Managing data across its lifecycle from Holly Hayes http www.ibmsystemsmagmainframedigital.com ... and standards up front share, extend, and apply throughout the lifecycle Example Integrated datamanagement lets you grow your business without growing your infrastructure. How is this possible? Let ... on board. 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 ... is built 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 ... and then share them via models and other data artifacts across the lifecycle. We call this idea ... 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 ... 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 ... 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 ..., estimation and editing VEE of meter data br Transmit meter data outside of their organization to Counter ... Executive Level Reports br Revenue Protection business processes automation and reporting br Data Aggregation for network loss and theft detection br Outage detection and event management br Remote ..., 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
lifecycle . One project that has 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 ... in the materials datamanagement process and investigated how an optimized process can lead to better innovation and quality. Materials datamanagement problems Problems typically relate to productivity and data integrity. They begin with difficulties in consolidating specialized data stored in disparate ... to the design, but to all of the raw 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 ... 18 May, 2006 ref Practical 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 ...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 ... Engineers spending hours 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 ... them. One way to itemize such issues is to examine each stage in the full materials data lifecycle ... data Organizations need a single, consistent source for all of their materials information both in house data and external references It must be quick and easy to import and export data from ... 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 an 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
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
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 ..., security, management and facilities. ref Huff, Lisa, The Battle for the Converged Data Center Network, Data Center Knowledge, August 18, 2011. http www.datacenterknowledge.com archives 2011 08 18 the battle for the converged data center network ref This type of environment allows enterprises to use ... Monitoring 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 ... and efficiency and efficient asset utilization. ref Data Center Management and Efficiency Software ... Data Center Management Market 596785 Emerson Power Bringing Its Perspective to Data Center Management ... utilization information. It also will enable data center managers to automate the management ..., Page 2 ref The evolution of DCIM has led to the creation of DCPM Data Center Predictive Modeling which is proving to be a more cost effective and accurate solution for many designed data centers. The efficiencies of having this type of integrated management have led technology providers like Hewlett Packard , Dell and IBM to build out and complement their product centric infrastructure and management ... plans q id 55562 t 2 ref Increased power and heat density Data center consolidation Hardware ... efficient energy use energy efficiency , DCIM enables data center managers to measure energy ... savings that reduce a data center s total operating expenses by up to 20 percent. In addition ... 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
Orphan date February 2009 Notability date June 2008 Infobox Software name RODIN Data Asset Management ... 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 ... in 1996 as the first available data warehouse tool for the AS 400 platform. The latest GA version ... RODIN removes the user 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 ... 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 definitions onto a canvas to create a table. Once created, tables may be changed as needed, in which 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 ... tables, as well as flat file s. A single ETL process may target one or many data set tables, supporting ... for further extensibility. 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 ... generated automatically. Change Data Capture Change Data Capture servers may be defined to capture ... in real time, with a separate apply step available to present the captured data into the ETL ... or exported in XMI format to other compliant tools. Change Management RODIN has built in change ... more details
Customer datamanagement CDM is a term used to describe the way in which businesses keep track of their customer information and survey their customer base in order to obtain feedback. CDM embraces a range of software or cloud computing applications designed to give large organizations rapid and efficient access to customer data. Surveys and data can be centrally located and widely accessible within a company, as opposed to being warehoused in separate departments. CDM encompasses the collection, analysis, organizing, reporting and sharing of customer information throughout an organization. Businesses need a thorough understanding of their customers needs if they are to retain and increase their customer base. Efficient CDM solutions provide companies with the ability to deal instantly with customer issues and obtain immediate feedback. As a result, customer retention and customer satisfaction can show dramatic improvement. According to a recent study by Aberdeen Group inc. Above average ..., data accuracy and partner customer satisfaction rates. ref Smalltree, Hannah 2006 http searchcrm.techtarget.com news 1212337 Best practices in managing customer data ref Customer datamanagement ... prod 120810.html ref this percentage is far higher in many countries. Uses for management Customer datamanagement should provide a cost effective, user friendly solution for marketing , research, sales ... Categories Category Articles created via the Article Wizard Category Datamanagement ... and newsletters encompasses and simplifies customer relationship management CRM and Customer feedback management services customer feedback management CFM Background Customer datamanagement, as a term, was coined in the 1990s, pre dating the alternative term enterprise feedback management EFM . Customer datamanagement CDM was introduced as a software solution that would replace earlier disc based or paper based surveys and spreadsheet data. Initially, CDM solutions were marketed to businesses ... 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 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
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 Software portability 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 ODL was used to define the object types that conform to the ODMG Object Model ... established in 1991 de Object Database Management Group es Object Database Management Group fr Object DataManagement Group ja Object DataManagement Group pl Object Database Management Group ... Binding was submitted 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 ... 4th generation of an object database standard . References note odmgbook The Object Data Standard ... more details
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