"National Parks" on Oceans:
A Presidential Push For Ocean Sanctuaries | On Point with Tom Ashbrook:
Tuesday, July 01, 2014
Microsoft: skipping version 13
Visual Studio 13 to be skipped? vNext to be v14 - Microsoft Beta - Neowin Forums:
Based on their Office versioning... it seems like they will skip version 13 and just jump to 14.
Based on their Office versioning... it seems like they will skip version 13 and just jump to 14.
Office and Visual Studio version 13: skipped
Entity–Attribute–Value Data Model
Entity–attribute–value model - Wikipedia, the free encyclopedia:
Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
define:entity - Google Search
a thing with distinct and independent existence.
define:item - Google Search
an individual article or unit, especially one that is part of a list, collection, or set.
define:attribute - Google Search
a quality or feature regarded as a characteristic or inherent part of someone or something.
The Datomic Information Model
For Datomic, that unit is the atomic fact, something we call a Datom.
A Datom has the following components:
BigTable maps two arbitrary string values (row key and column key) and timestamp (hence three-dimensional mapping) into an associated arbitrary byte array. It is not a relational database and can be better defined as a sparse, distributed multi-dimensional sorted map
Key–Value stores use the associative array (also known as a map or dictionary) as their fundamental data model. In this model, data is represented as a collection of key–value pairs, such that each possible key appears at most once in the collection
A “Table” in WATS and a “Domain” in ASDB may look like a table but they are not.
Essentially think of them as a container containing collections of similarname/value pairs representing data.
Each entity (in WATS) and item (in ASDB) consists of one or more attributes. An attribute is a name/value (name/value/data type in WATS) collection
Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
define:entity - Google Search
a thing with distinct and independent existence.
define:item - Google Search
an individual article or unit, especially one that is part of a list, collection, or set.
define:attribute - Google Search
a quality or feature regarded as a characteristic or inherent part of someone or something.
The Datomic Information Model
For Datomic, that unit is the atomic fact, something we call a Datom.
A Datom has the following components:
- Entity
- Attribute
- Value
- Transaction (database time)
- Add/Retract
- Customer Account—Represented by the entire spreadsheet, it refers to the Amazon Web Services account to which all domains are assigned.
- Domains—Represented by the domain worksheet tabs at the bottom of the spreadsheet, domains are similar to tables that contain similar data.
You can execute queries against a domain, but cannot execute queries across different domains. - Items—Represented by rows, items represent individual objects that contain one or more attribute name-value pairs.
- Attributes—Represented by columns, attributes represent categories of data that can be assigned to items.
- Values—Represented by cells, values represent instances of attributes for items. An attribute can have multiple values.
A “Table” in WATS and a “Domain” in ASDB may look like a table but they are not.
Essentially think of them as a container containing collections of similarname/value pairs representing data.
AWS | Amazon DynamoDB | FAQs
The data model for Amazon DynamoDB is as follows:
The data model for Amazon DynamoDB is as follows:
- Table: A table is a collection of data items
- Item: An Item is composed of a primary or composite key and a flexible number of attributes.
- Attribute: Each attribute associated with a data item is composed of an attribute name and a value or set of values
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