home libri books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro

biehl richard e. - data warehousing for biomedical informatics

Data Warehousing for Biomedical Informatics




Disponibilità: Normalmente disponibile in 20 giorni
A causa di problematiche nell'approvvigionamento legate alla Brexit sono possibili ritardi nelle consegne.


PREZZO
156,98 €
NICEPRICE
149,13 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 11/2015
Edizione: 1° edizione





Note Editore

Data Warehousing for Biomedical Informatics is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern. It enables you to quickly implement a fully-scalable generic data architecture that supports your organization’s clinical, operational, administrative, financial, and research data. By following the guidelines in this book, you will be able to successfully progress through the Alpha, Beta, and Gamma versions, plus fully implement your first production release in about a year. The Alpha version allows you to implement just enough of the basic design pattern to illustrate its core capabilities while loading a small sampling of limited data for demonstration purposes. This provides an easy way for everyone involved to visualize the new warehouse paradigm by actually examining a core subset of the working system. You can finish the Alpha version, also referred to as the proof-of-concept, in as little as 3-4 weeks. The Beta version, which can be completed in about 2-3 months, adds required functionality and much more data. It allows you to get the full warehouse up and running quickly, in order to facilitate longer-term planning, user and support team training, and setup of the operational environment. The Gamma version, which is a fully-functional system–though still lacking data–can be implemented in about 3-4 months. About one year after starting, you will be ready to launch Release 1.0 as a complete and secure data warehouse.




Sommario

Biomedical Data WarehousingNature of Biomedical DataNature of Warehoused DataBusiness RequirementsFunctional RequirementsNever-Finished WarehouseOrganizational ReadinessImplementation StrategySECTION I ALPHA VERSIONDimensional Data ModelingEvolution of Data WarehousesThe Star SchemaTransposing Dimensional SchemaAnticipating DimensionsAffinity AnalysisUnderstanding Source DataImplicit versus Explicit DataSemantic LayersInformation ArtifactsBiomedical ContextClinical PictureOntological LevelsEpistemological LevelsConclusionsBiomedical WarehouseBiomedical StarBiomedical FactsMaster DimensionsReference DimensionsAlmanac DimensionsAnalysis DimensionsControl DimensionsRequirements AlignmentStar Dimension Design PatternStructure of a DimensionMaster Data: Definition TablesSlowly Changing DimensionsSource Keys: Context and Reference TablesFact Participation: Group and Bridge TablesInterconnections: Hierarchy TablesConnecting to FactsDimension NavigationLoading Alpha VersionThrow-Away CodeSelecting and Preparing SourcesGenerating Surrogate KeysSimple Dimensions and FactsRecap of Simple ETLsComplicated Dimensions and FactsFinalizing Alpha StructuresV&V of Alpha VersionSECTION II BETA VERSIONCompleting the DesignUnit of MeasureMetadata MappingsControl DimensionsReinitializing the WarehouseData SourcingSource Mapping ChallengesDimensionalizing FactsSourcing Your DataGeneralizing ETL WorkflowsStandardizing Source DataSource Data Intake JobsSDI Design PatternSource Data ConsolidationExternal versus Internal SourcingSingle Point of FunctionETL "Pipes"Metadata TransformationData Control PipeWide versus Deep DataETL Reference PipeMetadata TransformationReference CompositeResolve ReferencesUnresolved ReferencesReference EntriesAlias EntriesBridges and GroupsHierarchy EntriesFiat HierarchiesNatural HierarchiesETL Definition PipeProcessing ComplexitiesExample Master LoadsInsert New DefinitionsNew OrphansOrphan Auto-AdoptionDefinition Change ProcessingBuilding SCD Transaction SetsApplying Transactions to DimensionsPerformance ConcernsETL Fact PipeMetadata TransformationBridges and GroupsBuild FactsFinalize DimensionsSet Control DimensionsInsert Fact ValuesSuperseding FactsFinalizing BetaAudit Trail FactsDatafeed DimensionVerification and ValidationPreparing for GammaSECTION III GAMMA VERSIONFinalizing ETL WorkflowsAlternatively Sourced KeysSourced MetadataStandard Data EditingValue-Level UOMUndetermined DimensionalityETL TransactionsTarget StatesSuperseded FactsContinuous Functional EvolutionEstablishing Data ControlsFinalizing Warehouse DesignRedaction Control SettingsData MonitoringSurrogate MergesSecurity ControlsImplementing Dataset ControlsWarehouse Support TeamBuilding out the DataMinimize Data SeamsShifting toward MetricsPopulating Metric ValuesPopulating Control ValuesPopulating DisplaysDelivering DataWarehousing Use CasesPrivacy-Oriented Usage ProfilesMetadata BrowsingCohort IdentificationFact Count QueriesTimeline GenerationBusiness IntelligenceAlternative Data ViewsFinalizing GammaBusiness RequirementsTechnical ChallengesFunctional ChallengesGoing LiveSECTION IV RELEASE 1.0Knowledge SynthesisFact CountsDerivative DataTimeline AnalysisStatistical AnalysesStatistical Process ControlSemantic AnnotationData GovernanceOrganizing for GovernanceGovernance OpportunitiesIndex




Autore

Richard E. Biehl is an information technology consultant with 37 years of experience, specializing in logical and physical data architectures, quality management, and strategic planning for the application of information technology. His research interests include semantic interoperability in biomedical data and the integration of chaos and complexity theories into the systems engineering of healthcare. Dr. Biehl holds a PhD in applied management and decision science and an MS in educational change and technology innovation from Walden University, Minneapolis, Minnesota. He is a certified Six Sigma Black Belt (CSSBB) and a Software Quality Engineer (CSQE) by the American Society for Quality (ASQ), Milwaukee, Wisconsin. Dr. Biehl is a visiting instructor at the University of Central Florida (UCF), Orlando, Florida, in the College of Engineering and Computer Science (CECS), teaching quality and systems engineering in the Industrial Engineering and Management Systems (IEMS) Department.










Altre Informazioni

ISBN:

9781482215212

Condizione: Nuovo
Dimensioni: 11.01 x 8.25 in Ø 3.70 lb
Formato: Copertina rigida
Illustration Notes:141 b/w images and 34 tables
Pagine Arabe: 656


Dicono di noi