Skip to main content

Home/ HealthcareMetadata/ Group items tagged model

Rss Feed Group items tagged

Malcolm McRoberts

Data Modeling Considerations for MongoDB Applications - MongoDB Manual 2.4.1 - 0 views

  • Embedding¶ To de-normalize data, store two related pieces of data in a single document. Operations within a document are less expensive for the server than operations that involve multiple documents. In general, use embedded data models when: you have “contains” relationships between entities. See Model Embedded One-to-One Relationships Between Documents. you have one-to-many relationships where the “many” objects always appear with or are viewed in the context of their parent documents. See Model Embedded One-to-Many Relationships Between Documents. Embedding provides the following benefits: generally better performance for read operations. the ability to request and retrieve related data in a single database operation.
  • Referencing¶ To normalize data, store references between two documents to indicate a relationship between the data represented in each document. In general, use normalized data models: when embedding would result in duplication of data but would not provide sufficient read performance advantages to outweigh the implications of the duplication. to represent more complex many-to-many relationships. to model large hierarchical data sets. See Model Tree Structures in MongoDB. Referencing provides more flexibility than embedding; however, to resolve the references, client-side applications must issue follow-up queries. In other words, using references requires more roundtrips to the server.
Malcolm McRoberts

SQL Developer Data Modeler Features - 0 views

  • racle SQL Developer Data Modeler provides a model driven approach for database design and generation, implemented by integrated set of models – Logical, Data types, Dimensional, Relational, Data Flow diagrams and Physical models for supported Oracle Databases, Microsoft SQL Server 2000 and 2005
  • Cube Views metadata
  • Dimensional Models   Dedicated full featured Dimensional model – star and snowflake schema easily can be built and expressed on detailed and compact diagrams   Dimensions – support for merging (level can belongs to more than one dimension), shared, fact and role playing dimensions   Hierarchies – value based hierarchies (parent-child), and regular and ragged level based hierarchies   Measures – fully, semi and none additive; different aggregation functions on different dimensions ; fact dimension; calculated measures   Query wizard allows Select statements to be generated from the dimensional model   Support for Oracle OLAP. This includes specifics like cube partitioning, sparse dimensions, and compressed measures   Built-in wizards help to define all required object types and view definitions that enable SQL access to dimensional data in Oracle AW (using the OLAP_TABLE interface)   Bidirectional integration with Oracle physical model - Dimensional model can be created using SQL dimension definitions in physical model or the definitions can be created from the dimensional model
  • ...1 more annotation...
  • Dimensional metadata in XMLA and Cube Views files
Malcolm McRoberts

Data model - Wikipedia, the free encyclopedia - 0 views

  • Data models are often used as an aid to communication between the business people defining the requirements for a computer system and the technical people defining the design in response to those requirements. They are used to show the data needed and created by business processes.
  • A data model explicitly determines the structure of data. Data models are specified in a data modeling notation, which is often graphical in form.[3]
Malcolm McRoberts

Cameo Data Modeler - 0 views

  • Cameo Data Modeler plugin provides data-related modeling for MagicDraw. It includes entity-relationship, database and XML schema modeling features.
Malcolm McRoberts

Model Referenced One-to-Many Relationships Between Documents - MongoDB Manual 2.4.1 - 0 views

  • Otherwise, if the number of books per publisher is unbounded, this data model would lead to mutable, growing arrays, as in the following example:
Malcolm McRoberts

SQLServer Architecture,Benchmarking&Performance Optimization,DisasterRecovery,HighAvail... - 0 views

  • The logical data model includes the following entities: ■ Reference Entities ■ Lookup Entities ■ Base Entities ■ Derived Entities ■ Aggregate Entities
  • Data in the base entities support the derived and aggregate layers to facilitate Star and population, and act as a source for Data Mining for advanced analysis.
Malcolm McRoberts

Healthcare Services Provider - 0 views

  • The ADRM Software Healthcare Services Provider models consists of a set of integrated Enterprise, Business Area and Data Warehouse data models developed for organizations in the healthcare service provider industry. The focus of these models is to provide a blueprint of the complex data required to support a variety of applications, analytics and information services for health plan service providers. ·  Service Provider ·  Encounter ·  Claim ·  Patient ·  Service ·  Facility ·  Insurer ·  Health Plan
Malcolm McRoberts

Healthways - Success - Science-Based Outcomes - Maximizing Care Management Savings thro... - 0 views

  • The challenge is to identify individuals for whom intervention can make a difference and find intervention opportunities at the right time: before adverse health outcomes escalate medical costs.
  • Maximizing Care Management Savings through Advanced Total Population Targeting
  • PREDICTIVE MODELING FOR ACCURATE POPULATION TARGETING • Advanced Methodology, Focused Models) • Targeted Interventions) • Testing and Validation)
  • ...1 more annotation...
  • Predictive modeling can improve the targeting of care management programs by mathematically determining the likelihood of defined outcomes, Healthways uses multiple models to:
Malcolm McRoberts

Play Framework: Binding and Validating Objects and Rendering JSON Output | Packt Publis... - 0 views

  • How to do it... Create your entities first. This example consists of a user, an address, and a SuperSecretData entity: @Entitypublic class User extends Model { @SerializedName("userLogin") public String login; @NoJsonExport public String password; @ManyToOne public Address address; @OneToOne public SuperSecretData secrets; public String toString() { return id + "/" + login; }}@Entitypublic class Address extends Model { public String street; public String city; public String zip;}@Entitypublic class SuperSecretData extends Model { public String secret = "foo";}
Malcolm McRoberts

nosql - Modeling friend of friend relationships in MongoDB - Stack Overflow - 0 views

  • Modeling friend of friend relationships in MongoDB
  • "When a document's stored value for a index key field is an array, MongoDB indexes each element of the array. See the Multikeys page for more information." so to find all of "alex"'s friends I can just do: db.user.find( { 'friends' : '4e77bb3b8a3e000000004f7a'});
Malcolm McRoberts

Data mapping - Wikipedia, the free encyclopedia - 0 views

  • In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration
Malcolm McRoberts

java - Do you need JPA when using MongoDB? - Stack Overflow - 0 views

  • There is however Morphia, an Object Document Mapper for MongoDB + Java which closely emulates the JPA model but using MongoDB appropriate semantics
  • DataNucleus already supports MongoDB, for JPA and JDO, the standardised APIs in Java.
  • clipseLink is planning support for MongoDB from JPA.
1 - 20 of 24 Next ›
Showing 20 items per page